diff --git a/BizDeedz/Offers/AI-Readiness-Accelerator-OnePager.md b/BizDeedz/Offers/AI-Readiness-Accelerator-OnePager.md new file mode 100644 index 0000000..6eaf0b2 --- /dev/null +++ b/BizDeedz/Offers/AI-Readiness-Accelerator-OnePager.md @@ -0,0 +1,92 @@ +# AI Readiness Accelerator + +**Get your firm AI-ready in 14 days. No risk. No guesswork.** + +--- + +## The Problem + +Law firms are being sold AI tools they can't actually use. + +Your intake data is inconsistent. Your templates live in 6 different places. Your staff workflows exist only in people's heads. And nobody has thought through what happens when AI gives bad advice to a client. + +Deploying AI on a broken foundation creates malpractice exposure, not efficiency. + +--- + +## What You Get + +In 10-14 days, you receive a complete decision package: + +| Deliverable | What It Is | +|-------------|------------| +| **AI Readiness Scorecard** | Objective baseline across 6 dimensions: process maturity, data quality, knowledge systems, tooling, governance, and change capacity | +| **Prioritized Roadmap** | 30/60/90-day action plan sequenced by impact and effort | +| **Use-Case Portfolio** | 3-5 AI opportunities ranked by feasibility, ROI, and risk | +| **Governance Starter Kit** | Acceptable use policy, access controls, escalation rules, and audit requirements | + +--- + +## How It Works + +| Phase | Days | What Happens | +|-------|------|--------------| +| **Intake** | 0-2 | Secure data room setup, artifact collection, checklist completion | +| **Assessment** | 3-6 | Process walkthroughs, data profiling, systems inventory, staff interviews | +| **Analysis** | 7-9 | Use-case scoring, ROI modeling, risk mapping | +| **Delivery** | 10-12 | Scorecard presentation, roadmap walkthrough, governance review | +| **Decision** | 13-14 | Executive readout, next-step alignment | + +--- + +## Best Fit + +**Ideal client:** +- Bankruptcy, family law, estate planning, or high-volume civil practice +- 5-50 attorneys with paralegal/support staff +- Using practice management software (Clio, MyCase, PracticePanther, etc.) +- Current pain: intake bottlenecks, drafting delays, missed deadlines, or data chaos + +**Not a fit:** +- Solo practitioners without support staff +- Firms with no existing practice management system +- Firms under active litigation holds affecting data access + +--- + +## Pricing + +| Package | Investment | Includes | +|---------|------------|----------| +| **AI Readiness Scorecard** | $4,500 | Full assessment + deliverables (Phases A-E) | +| **Implementation Sprint** | $7,500/sprint | 2-week buildout sprints with defined scope | +| **Optimization Retainer** | $2,500/month | Ongoing monitoring, KPI tracking, governance upkeep | + +*Fixed-fee. No hourly surprises. Payment: 50% to start, 50% on delivery.* + +--- + +## Why BizDeedz + +We're not selling you AI tools. We're building the operational foundation that makes AI actually work. + +- **Operational-first**: We fix the plumbing before turning on the water +- **Governance-built-in**: Compliance and ethics baked in from day one +- **Measurable outcomes**: Cycle time, rework rates, and conversion tracked +- **Law-firm specific**: Built for bankruptcy, family, estate, and civil workflows + +--- + +## Next Step + +**Book a 30-minute diagnostic call.** + +We'll review your current tools, pain points, and goals. If there's a fit, you'll receive a scoped proposal within 48 hours. + +No obligation. No sales pressure. Just clarity. + +**[Schedule Call]** | hello@bizdeedz.com | (xxx) xxx-xxxx + +--- + +*BizDeedz, Inc. | Operational Automation for Legal* diff --git a/BizDeedz/Offers/Internal-Delivery-SOP.md b/BizDeedz/Offers/Internal-Delivery-SOP.md new file mode 100644 index 0000000..4e00f3d --- /dev/null +++ b/BizDeedz/Offers/Internal-Delivery-SOP.md @@ -0,0 +1,681 @@ +# AI Readiness Accelerator: Internal Delivery SOP + +**Version:** 1.0 +**Last Updated:** February 2026 +**Owner:** Delivery Lead + +--- + +## Table of Contents + +1. [Engagement Checklist](#1-engagement-checklist) +2. [Phase A: Demand Capture](#2-phase-a-demand-capture) +3. [Phase B: Intake & Data Room](#3-phase-b-intake--data-room) +4. [Phase C: Readiness Assessment](#4-phase-c-readiness-assessment) +5. [Phase D: Use-Case Portfolio](#5-phase-d-use-case-portfolio) +6. [Phase E: Roadmap & Governance](#6-phase-e-roadmap--governance) +7. [Templates & Checklists](#7-templates--checklists) +8. [Automation Runbook](#8-automation-runbook) + +--- + +## 1. Engagement Checklist + +### Pre-Kickoff Checklist + +- [ ] Discovery call completed +- [ ] Client qualifies (see fit criteria below) +- [ ] SOW sent and signed +- [ ] Initial payment received (50%) +- [ ] Kickoff meeting scheduled +- [ ] Client contact info captured in CRM +- [ ] Pre-call questionnaire sent + +### Qualification Criteria (Must Have 4/5) + +| Criterion | Indicator | +|-----------|-----------| +| Practice area fit | Bankruptcy, family, estate, civil litigation | +| Firm size | 5-50 attorneys | +| Has practice management | Clio, MyCase, PracticePanther, etc. | +| Has support staff | At least 1 paralegal or intake coordinator | +| Clear pain point | Intake, drafting, deadlines, or data chaos | + +### Disqualification Triggers + +- Solo practitioner with no staff +- No practice management system +- Active litigation hold affecting data access +- Budget below $4,000 +- No decision-maker access within 14 days + +--- + +## 2. Phase A: Demand Capture + +### Objective +Convert attention into qualified, booked diagnostic call. + +### Process Steps + +| Step | Action | Owner | Automation | +|------|--------|-------|------------| +| A1 | Lead captured (form, LinkedIn, referral) | Marketing | Auto-log to CRM | +| A2 | Lead scored and routed | - | Auto-score based on form fields | +| A3 | Booking link sent | - | Auto-email with Calendly link | +| A4 | Confirmation + reminders | - | Auto-sequence (24hr, 1hr before) | +| A5 | Pre-call questionnaire sent | - | Auto-send on booking confirmation | +| A6 | Discovery call conducted | Delivery Lead | Manual | +| A7 | Scope locked, SOW sent | Delivery Lead | Manual (template-based) | +| A8 | Payment processed | - | Stripe/ACH | +| A9 | Kickoff scheduled | - | Auto-calendar on payment | + +### Pre-Call Questionnaire Fields + +``` +1. Firm name +2. Primary practice area(s) +3. Number of attorneys +4. Number of support staff (paralegals, intake, admin) +5. Practice management software +6. Document management system +7. Biggest operational pain point (select top 2): + - Intake bottlenecks + - Drafting takes too long + - Missed deadlines + - Data chaos / can't find things + - Client communication gaps + - Rework / quality issues + - Other: ___ +8. Have you tried AI tools before? (Y/N) +9. If yes, what happened? +10. Who will be the decision-maker for this engagement? +11. What does success look like in 90 days? +``` + +--- + +## 3. Phase B: Intake & Data Room + +### Objective +Collect all artifacts within 48 hours of kickoff. + +### Data Room Structure + +``` +[CLIENT NAME] - AI Readiness/ +├── 00-Admin/ +│ ├── SOW-Signed.pdf +│ ├── Contacts.md +│ └── Timeline.md +├── 01-Org-and-Roles/ +│ ├── org-chart.pdf +│ └── role-list.csv +├── 02-Tool-Stack/ +│ ├── tools-inventory.csv +│ └── screenshots/ +├── 03-Sample-Matters/ +│ └── [10-20 redacted matter files] +├── 04-SOPs-Templates/ +│ ├── intake-scripts/ +│ ├── checklists/ +│ ├── pleadings-templates/ +│ └── email-templates/ +├── 05-KPI-Exports/ +│ ├── leads.csv +│ ├── consults.csv +│ ├── retainers.csv +│ └── cycle-times.csv +└── 06-Deliverables/ + └── [Output files go here] +``` + +### Artifact Checklist (Send to Client) + +```markdown +## Required Artifacts for AI Readiness Assessment + +Please upload the following to your secure data room by [DATE]: + +### Organization (Folder: 01-Org-and-Roles) +- [ ] Org chart or team structure diagram +- [ ] List of roles that touch intake, drafting, filing, and client comms + +### Technology (Folder: 02-Tool-Stack) +- [ ] List of software tools used (practice mgmt, email, DMS, billing, e-sign) +- [ ] Screenshots of main dashboards (optional but helpful) + +### Sample Work (Folder: 03-Sample-Matters) +- [ ] 10-20 sample matters (redact client PII as needed) +- [ ] Mix of: new intake, in-progress, and closed matters + +### Processes (Folder: 04-SOPs-Templates) +- [ ] Intake scripts or call guides +- [ ] Checklists used for case setup or filing +- [ ] Pleading or document templates +- [ ] Email templates for client communication + +### Metrics (Folder: 05-KPI-Exports) +- [ ] Lead/intake volume (last 6-12 months) +- [ ] Consultation-to-retainer conversion data +- [ ] Filing cycle times (if tracked) +- [ ] Any rework or rejection tracking + +--- + +Questions? Reply to this email or message [CONTACT]. + +Upload link: [DATA ROOM URL] +``` + +### Auto-Chase Sequence + +| Day | Action | +|-----|--------| +| Day 0 | Initial artifact request | +| Day 1 | Status check ("anything blocking you?") | +| Day 2 | Escalation ("we need X to stay on schedule") | +| Day 3 | Call if incomplete | + +--- + +## 4. Phase C: Readiness Assessment + +### Objective +Score the firm across 6 pillars that predict AI success. + +### Assessment Interview Guide + +**Interview 1: Intake Coordinator (45-60 min)** + +``` +1. Walk me through what happens when a new lead calls or fills out a form. +2. How do you determine if someone is a good fit? +3. What information do you collect at first contact? +4. Where does that information get recorded? +5. How do you hand off to the attorney or paralegal? +6. What are the most common reasons a lead doesn't become a client? +7. What do you wish was easier or faster? +``` + +**Interview 2: Paralegal (60 min)** + +``` +1. Walk me through a typical new matter setup. +2. Where do you get the client information from? +3. What documents do you typically draft first? +4. Where do templates live? How current are they? +5. How do you track deadlines and filings? +6. What causes the most rework or delays? +7. How do you communicate status to clients? +8. What tools do you use daily? What's frustrating about them? +``` + +**Interview 3: Attorney (45-60 min)** + +``` +1. What's your biggest bottleneck right now? +2. How do you review paralegal work before filing? +3. What types of errors do you catch most often? +4. How confident are you in your current data/reporting? +5. What's your appetite for AI? Concerns? +6. Who would champion a new system? Who would resist? +7. What does success look like in 6 months? +``` + +### Assessment Scoring Rubric + +**Score each pillar 0-5:** + +| Score | Definition | +|-------|------------| +| 0 | Non-existent | +| 1 | Ad-hoc, inconsistent | +| 2 | Defined but not followed | +| 3 | Followed with exceptions | +| 4 | Consistent, measured | +| 5 | Optimized, continuously improving | + +#### Pillar 1: Process Maturity + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Intake flow | No standard process | Written SOP exists | SOP followed, measured | +| Case setup | Different every time | Template exists | Automated checklist | +| Drafting | Start from scratch | Templates used | Version-controlled library | +| Filing | Manual, error-prone | Checklist exists | Tracked with SLAs | + +#### Pillar 2: Data Quality + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Field consistency | Free-text chaos | Some dropdowns | Enforced taxonomy | +| Duplicate rate | >10% | 5-10% | <5% | +| Null/missing | >20% critical fields | 10-20% | <10% | +| Naming conventions | None | Informal | Enforced | + +#### Pillar 3: Knowledge System + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Template location | Scattered, unknown | Central folder | Versioned library | +| SOPs | In people's heads | Written, outdated | Current, accessible | +| FAQ/playbooks | None | Informal | Documented, searchable | + +#### Pillar 4: Tooling & Integrations + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Practice mgmt | Spreadsheets/paper | Basic PM tool | Mature PM with integrations | +| Document mgmt | Local drives | Shared drive | DMS with version control | +| Integrations | Copy-paste between | Some manual sync | API connections | + +#### Pillar 5: Risk & Governance + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Data access | No controls | Role-based folders | Permissioned DMS | +| AI policy | None | Informal guidance | Written policy | +| Audit trail | None | Some logging | Complete audit trail | +| Retention | Ad-hoc | Written policy | Automated enforcement | + +#### Pillar 6: Change Capacity + +| Indicator | 0-1 | 2-3 | 4-5 | +|-----------|-----|-----|-----| +| Training history | No formal training | Occasional | Regular, documented | +| Adoption track record | Changes fail | Mixed results | Changes stick | +| Role clarity | Unclear ownership | Defined roles | Accountable owners | +| Executive support | Skeptical | Interested | Active sponsor | + +### Data Profiling Checklist + +Run on each CSV export: + +``` +- [ ] Row count +- [ ] Column inventory +- [ ] Null rate per column +- [ ] Duplicate detection (by key field) +- [ ] Date format consistency +- [ ] Outlier detection (numeric fields) +- [ ] Taxonomy analysis (categorical fields) +``` + +### Assessment Output + +Internal workbook with: +- Pillar scores (0-5) +- Evidence notes for each score +- Direct quotes from interviews +- Data quality findings +- Key risks identified + +--- + +## 5. Phase D: Use-Case Portfolio + +### Objective +Select 3-5 AI opportunities that are feasible AND worth it. + +### Use-Case Scoring Matrix + +Score each candidate 1-5: + +| Criterion | Weight | Definition | +|-----------|--------|------------| +| Volume | 25% | How often does this happen? | +| Repetitiveness | 20% | Same process each time? | +| Data availability | 20% | Is input data clean and accessible? | +| Impact | 20% | Time saved, errors reduced, revenue captured | +| Risk | 15% | What's the blast radius if AI fails? | + +**Scoring:** +- Volume: 1=monthly, 3=weekly, 5=daily+ +- Repetitive: 1=unique each time, 5=identical process +- Data: 1=unstructured chaos, 5=clean structured fields +- Impact: 1=minor convenience, 5=major capacity unlock +- Risk: 1=high (client-facing legal), 5=low (internal admin) + +### Standard Use-Case Library + +| Use Case | Typical Volume | Complexity | Risk | +|----------|----------------|------------|------| +| Intake triage + routing | High | Low | Medium | +| Document classification + filing | High | Low | Low | +| Deadline extraction + task creation | High | Medium | Medium | +| Template-based drafting assist | Medium | Medium | High | +| Client status updates | High | Low | Low | +| Missing document requests | Medium | Low | Low | +| Conflict check assistance | Medium | Medium | High | + +### Use-Case One-Pager Template + +```markdown +## [USE CASE NAME] + +### Problem +[What pain does this solve? Current state.] + +### Workflow +1. Trigger: [What kicks this off?] +2. Input: [What data/documents are needed?] +3. Process: [What does the automation do?] +4. Output: [What gets created/updated?] +5. Human checkpoint: [Where does a person review?] + +### Controls +- [ ] Confidence threshold for escalation +- [ ] Human review before client-facing output +- [ ] Audit logging +- [ ] Exception handling + +### Success Metrics +- Cycle time: [Before] → [After] +- Error rate: [Before] → [After] +- Volume capacity: [Before] → [After] + +### Effort Estimate +- Implementation: [S/M/L] +- Change management: [S/M/L] +- Risk: [Low/Medium/High] + +### ROI Projection +| Metric | Assumption | Value | +|--------|------------|-------| +| Hours saved/week | X tasks × Y min each | Z hours | +| Hourly value | Staff cost or billable | $XX | +| Annual value | (Hours × Rate × 50 weeks) | $XX,XXX | +| Implementation cost | Sprint(s) required | $XX,XXX | +| Payback period | Months | X months | +``` + +--- + +## 6. Phase E: Roadmap & Governance + +### Objective +Deliver board-ready plan with clear next steps. + +### Deliverables Checklist + +- [ ] AI Readiness Scorecard (PDF) +- [ ] Risk Register (spreadsheet) +- [ ] Prioritized Roadmap (PDF + task board) +- [ ] Data Cleanup Plan (document) +- [ ] Use-Case Portfolio (PDF + one-pagers) +- [ ] Governance Starter Kit (document bundle) + +### Scorecard Template Structure + +``` +Page 1: Executive Summary +- Overall readiness score (average of pillars) +- Top 3 strengths +- Top 3 gaps +- Recommended first move + +Page 2: Pillar Scores +- Spider chart visualization +- Score breakdown by pillar +- Benchmark comparison (if available) + +Pages 3-8: Pillar Details +- Score + rationale +- Key findings +- Recommendations + +Page 9: Use-Case Portfolio Summary +- Ranked list with effort/impact/risk +- Recommended sequence + +Page 10: Roadmap Overview +- 30/60/90 day milestones +- Dependencies +- Resource requirements + +Page 11: Governance Summary +- Key policies needed +- Risk controls +- Next steps + +Page 12: Appendix +- Data quality findings +- Interview summary +- Assumptions +``` + +### Risk Register Template + +| Risk ID | Category | Description | Likelihood | Impact | Controls | Owner | Status | +|---------|----------|-------------|------------|--------|----------|-------|--------| +| R001 | Data | Inconsistent matter taxonomy | High | Medium | Standardize fields | Ops | Open | +| R002 | Compliance | No AI usage policy | High | High | Draft policy | Partner | Open | +| R003 | Adoption | Staff resistance | Medium | High | Training plan | Mgr | Open | + +### Governance Starter Kit Contents + +**Document 1: AI Acceptable Use Policy (2-3 pages)** + +```markdown +## Purpose +This policy governs the use of AI tools at [FIRM NAME]. + +## Scope +Applies to all attorneys, paralegals, and staff. + +## Approved Uses +- Document classification and filing +- Deadline extraction and task creation +- Drafting assistance using approved templates +- Internal research and summarization +- Client communication drafts (with human review) + +## Prohibited Uses +- Legal advice to clients without attorney review +- Submission of AI output without human verification +- Use of client data in public AI tools (ChatGPT, etc.) +- Creating final work product without attorney sign-off + +## Human Review Requirements +- All client-facing output requires attorney review +- All legal analysis requires attorney verification +- All filings require human quality check + +## Data Protection +- Client data may only be used with approved, secure AI tools +- No client PII in prompts to public models +- All AI interactions must be logged + +## Compliance +Violations subject to disciplinary action. +``` + +**Document 2: Access & Permissions Model** + +```markdown +## Role-Based Access + +| Role | Practice Mgmt | DMS | AI Tools | Client Data | +|------|---------------|-----|----------|-------------| +| Partner | Full | Full | Full | Full | +| Associate | Full | Full | Full | Assigned | +| Paralegal | Edit | Edit | Supervised | Assigned | +| Intake | Create | Read | None | Limited | +| Admin | Read | Read | None | None | +``` + +**Document 3: Human-in-the-Loop Rules** + +```markdown +## Escalation Triggers + +AI output requires human review when: +- Confidence score < 85% +- New matter type not in training set +- Client-facing communication +- Filing or court submission +- Any fee-related calculation +- Conflict check results + +## Exception Handling + +When AI fails or flags uncertainty: +1. Route to designated human reviewer +2. Log exception with context +3. Complete task manually +4. Flag for model improvement review +``` + +--- + +## 7. Templates & Checklists + +### Discovery Call Script + +``` +"Thanks for taking the time today. I'd like to understand your +current situation, your goals around AI, and whether we're a +good fit to help. + +1. Tell me about your firm—practice areas, size, structure. + +2. What's driving your interest in AI right now? + +3. What's your biggest operational pain point today? + +4. What tools are you currently using for practice management, + documents, and client communication? + +5. Have you tried any AI tools? What happened? + +6. If we could wave a magic wand, what would be different in + 90 days? + +7. Who else would be involved in a decision like this? + +8. What questions do you have for me? + +--- + +[If qualified] + +Here's what I'm thinking: Our AI Readiness Accelerator is a +10-14 day engagement where we assess your operations, identify +the 3-5 AI opportunities that are actually worth pursuing, and +give you a roadmap with the governance controls to do it safely. + +It's $4,500 fixed-fee. If you're interested, I can send over a +scope of work today and we could kick off as early as [DATE]. + +What questions do you have?" +``` + +### Executive Readout Agenda (90 min) + +``` +1. Welcome + context (5 min) +2. Scorecard walkthrough (20 min) +3. Risk register highlights (10 min) +4. Use-case portfolio deep dive (20 min) +5. Roadmap presentation (15 min) +6. Governance overview (10 min) +7. Discussion + Q&A (10 min) +8. Next steps + close (5 min) +``` + +### Post-Engagement Handoff Checklist + +- [ ] All deliverables uploaded to client data room +- [ ] Client execution board created (Notion/Planner) +- [ ] Final invoice sent +- [ ] Feedback request sent (NPS + testimonial ask) +- [ ] CRM updated with outcome +- [ ] Implementation proposal sent (if requested) +- [ ] 30-day follow-up scheduled + +--- + +## 8. Automation Runbook + +### What to Automate + +| Process | Tool | Trigger | Action | +|---------|------|---------|--------| +| Lead capture → CRM | Make/Zapier | Form submit | Create CRM record + tag | +| Lead scoring | Make | CRM record created | Calculate score, route | +| Booking confirmation | Calendly | Event booked | Send confirmation + pre-call form | +| Reminder sequence | Make | Event -24h, -1h | Send reminder emails | +| Data room creation | Make | SOW signed | Create folder structure in Drive | +| Artifact checklist | Make | Data room created | Send checklist email + create tasks | +| Chase sequence | Make | Day 1, 2, 3 | Send follow-up if incomplete | +| Report generation | Google Docs | Assessment complete | Populate template from data | +| Invoice creation | Stripe/QBO | Milestone reached | Generate and send invoice | +| Follow-up scheduling | Make | Engagement complete | Create 30-day task | + +### Make.com Scenario Outlines + +**Scenario 1: Lead → CRM → Booking** + +``` +Trigger: Typeform/Webflow form submission +→ Parse form fields +→ Create Notion/Airtable record +→ Calculate lead score (weighted fields) +→ If score >= threshold: + → Send Calendly link email + → Tag as "Qualified" +→ Else: + → Send "not a fit" email + → Tag as "Disqualified" +``` + +**Scenario 2: Booking → Pre-Call Prep** + +``` +Trigger: Calendly event created +→ Create CRM deal/opportunity +→ Send pre-call questionnaire (Typeform) +→ Schedule reminder emails (-24h, -1h) +→ Create prep task for delivery lead +``` + +**Scenario 3: Payment → Kickoff** + +``` +Trigger: Stripe payment received +→ Update CRM status +→ Create Google Drive folder structure +→ Add client to shared Drive +→ Send welcome email with data room link +→ Send artifact checklist +→ Create intake task with Day 2 deadline +``` + +**Scenario 4: Artifact Chase** + +``` +Trigger: Daily at 9am +→ Check data room for required files +→ For each client with incomplete room: + → If Day 1: Send "anything blocking you?" + → If Day 2: Send "we need X to stay on schedule" + → If Day 3: Create escalation task + Slack alert +``` + +--- + +## Appendix: File Naming Conventions + +``` +[CLIENT]-[DOC TYPE]-[VERSION]-[DATE].ext + +Examples: +- AcmeLaw-Scorecard-v1-2026-02-15.pdf +- AcmeLaw-UseCase-IntakeRouting-v1.md +- AcmeLaw-Roadmap-v2-2026-02-20.pdf +``` + +--- + +*End of Internal Delivery SOP* diff --git a/BizDeedz/Offers/SOW-Template.md b/BizDeedz/Offers/SOW-Template.md new file mode 100644 index 0000000..5e7fd58 --- /dev/null +++ b/BizDeedz/Offers/SOW-Template.md @@ -0,0 +1,291 @@ +# Statement of Work +## AI Readiness Accelerator + +**Client:** [FIRM NAME] +**Prepared by:** BizDeedz, Inc. +**Date:** [DATE] +**SOW Version:** 1.0 + +--- + +## 1. Engagement Overview + +### 1.1 Purpose +BizDeedz will conduct an AI Readiness Assessment for [FIRM NAME] to evaluate operational readiness for AI deployment, identify high-value automation opportunities, and deliver a prioritized implementation roadmap with governance controls. + +### 1.2 Engagement Type +- [ ] AI Readiness Scorecard (Assessment Only) +- [ ] AI Readiness Scorecard + Implementation Sprint 1 +- [ ] Full Engagement (Scorecard + Implementation + Retainer) + +### 1.3 Timeline +| Milestone | Target Date | +|-----------|-------------| +| Kickoff | [DATE] | +| Data Room Complete | [DATE + 2 days] | +| Assessment Complete | [DATE + 6 days] | +| Deliverables Presentation | [DATE + 12 days] | +| Executive Readout | [DATE + 14 days] | + +--- + +## 2. Scope of Work + +### 2.1 Phase A: Pre-Engagement (Pre-Kickoff) + +**BizDeedz Responsibilities:** +- Conduct discovery call to confirm scope and fit +- Deliver pre-call snapshot questionnaire +- Validate engagement prerequisites + +**Client Responsibilities:** +- Complete pre-call questionnaire +- Confirm decision-maker availability for readout +- Execute this SOW and submit initial payment + +**Deliverable:** Signed SOW, scheduled kickoff + +--- + +### 2.2 Phase B: Intake & Data Room Setup (Days 0-2) + +**BizDeedz Responsibilities:** +- Create secure client data room (Google Workspace) +- Provide standardized artifact checklist +- Send automated reminders for missing items +- Confirm data room completion + +**Client Responsibilities:** +- Provide access to designated contact +- Submit required artifacts within 48 hours: + - [ ] Org chart / role list + - [ ] Tool stack inventory + - [ ] 10-20 sample matters (redacted as needed) + - [ ] SOPs and templates currently in use + - [ ] KPI exports (leads, consults, retainers, cycle times) + +**Deliverable:** Completed data room with all artifacts logged + +--- + +### 2.3 Phase C: Readiness Assessment (Days 3-6) + +**BizDeedz Responsibilities:** +- Conduct process walkthroughs with designated staff +- Perform data quality profiling on submitted exports +- Complete systems inventory and integration mapping +- Score firm across 6 assessment pillars (0-5 scale): + 1. Process Maturity + 2. Data Quality + 3. Knowledge Systems + 4. Tooling & Integrations + 5. Risk & Governance + 6. Change Capacity + +**Client Responsibilities:** +- Make available for interview (60-90 min each): + - [ ] 1 intake coordinator or receptionist + - [ ] 1-2 paralegals + - [ ] 1 attorney (preferably managing partner or practice lead) +- Provide screen-share access to demonstrate current workflows + +**Deliverable:** Completed assessment workbook (internal) + +--- + +### 2.4 Phase D: Use-Case Portfolio & ROI Model (Days 7-9) + +**BizDeedz Responsibilities:** +- Identify candidate AI use cases from assessment findings +- Score use cases by feasibility, impact, and risk +- Build ROI model with assumptions documented +- Draft use-case one-pagers for top 3-5 opportunities + +**Use-Case Selection Criteria:** +- High volume + repetitive + rules-based +- Clear success metrics (cycle time, rework, conversion) +- Low ambiguity or defined escalation rules +- Acceptable risk footprint with controls + +**Client Responsibilities:** +- Validate volume and frequency assumptions +- Confirm strategic priorities for use-case ranking + +**Deliverable:** Ranked use-case portfolio with ROI projections + +--- + +### 2.5 Phase E: Roadmap & Governance Kit (Days 10-12) + +**BizDeedz Responsibilities:** +- Compile AI Readiness Scorecard (final report) +- Create Risk Register with controls and owners +- Build Prioritized Roadmap (30/60/90 days) +- Draft Data Cleanup Plan (taxonomy, naming, minimum viable data) +- Assemble Governance Starter Kit: + - AI Acceptable Use Policy + - Access/Permissions Model + - Retention & Logging Requirements + - Human-in-the-Loop Rules + +**Client Responsibilities:** +- Review draft materials prior to final presentation +- Confirm attendees for executive readout + +**Deliverable:** Complete deliverables package (PDF + source files) + +--- + +### 2.6 Phase F: Executive Readout (Days 13-14) + +**BizDeedz Responsibilities:** +- Conduct 90-minute executive presentation +- Walk through scorecard, roadmap, and governance kit +- Facilitate discussion on next steps +- Provide implementation proposal if requested + +**Client Responsibilities:** +- Ensure decision-maker attendance +- Come prepared with questions and priorities + +**Deliverable:** Recorded session (optional), decision on next phase + +--- + +## 3. Out of Scope + +The following are explicitly excluded from this engagement: + +- Legal advice or ethics opinions +- Implementation of AI tools or automations +- Data migration or system configuration +- Staff training or change management programs +- Ongoing support beyond the engagement period +- Custom software development +- Compliance certifications or audits + +*Implementation services available as separate sprints.* + +--- + +## 4. Client Responsibilities Summary + +| Responsibility | Due | +|----------------|-----| +| Execute SOW and submit payment | Before kickoff | +| Complete pre-call questionnaire | Before kickoff | +| Submit all data room artifacts | Day 2 | +| Make staff available for interviews | Days 3-5 | +| Review draft deliverables | Day 11 | +| Attend executive readout | Day 13-14 | + +**Designated Client Contact:** [NAME, EMAIL, PHONE] + +--- + +## 5. Assumptions & Dependencies + +1. Client will provide timely access to requested data and personnel +2. Artifacts will be delivered in usable formats (PDF, CSV, DOCX) +3. Sample matters will be appropriately redacted for confidentiality +4. No material changes to firm operations during assessment period +5. Decision-maker(s) will be available for final readout + +**Schedule Impact:** Delays in artifact submission or interview availability will extend timeline day-for-day. + +--- + +## 6. Confidentiality & Data Handling + +- All client data will be stored in a dedicated, access-controlled Google Workspace +- BizDeedz will not share client data with third parties +- Sample matters and client information will be deleted within 30 days of engagement completion unless retention is requested +- BizDeedz may retain anonymized, aggregated findings for benchmarking purposes + +--- + +## 7. Pricing & Payment Terms + +### 7.1 Investment + +| Item | Fee | +|------|-----| +| AI Readiness Scorecard (Phases B-E) | $4,500 | +| **Total** | **$4,500** | + +### 7.2 Payment Schedule + +| Milestone | Amount | Due | +|-----------|--------|-----| +| Engagement Start | $2,250 (50%) | Upon SOW execution | +| Deliverables Complete | $2,250 (50%) | Upon executive readout | + +### 7.3 Payment Method +- ACH transfer (preferred) +- Credit card (+3% processing fee) + +### 7.4 Expenses +No travel or expenses anticipated. If travel is requested, expenses will be billed at cost with prior approval. + +--- + +## 8. Change Management + +Any changes to scope, timeline, or deliverables require written agreement from both parties. Changes may result in adjusted fees and timelines. + +--- + +## 9. Limitation of Liability + +BizDeedz's liability under this SOW shall not exceed the total fees paid. BizDeedz is not liable for client's implementation decisions, AI tool performance, or outcomes resulting from client actions taken after the engagement. + +--- + +## 10. Acceptance + +By signing below, both parties agree to the terms of this Statement of Work. + +**BizDeedz, Inc.** + +Signature: ________________________ +Name: ________________________ +Title: ________________________ +Date: ________________________ + +**[CLIENT FIRM NAME]** + +Signature: ________________________ +Name: ________________________ +Title: ________________________ +Date: ________________________ + +--- + +## Appendix A: Implementation Sprint Scope (If Selected) + +*To be scoped separately based on assessment findings.* + +| Sprint | Duration | Typical Scope | +|--------|----------|---------------| +| Sprint 1 | 2 weeks | Data taxonomy, intake routing, document automation foundation | +| Sprint 2 | 2 weeks | Drafting assist on templates, QC checkpoints | +| Sprint 3 | 2 weeks | Dashboards, adoption system, training | + +**Sprint Pricing:** $7,500 per 2-week sprint (fixed scope) + +--- + +## Appendix B: Optimization Retainer (If Selected) + +**Monthly Investment:** $2,500/month (minimum 3-month commitment) + +**Includes:** +- Monthly KPI performance review +- Automation health monitoring +- Backlog grooming and sprint recommendations +- Quarterly governance refresh +- Slack/email support (SLA: 24-hour response) + +--- + +*End of Statement of Work* diff --git a/BizDeedz/Offers/templates/AI-Acceptable-Use-Policy.md b/BizDeedz/Offers/templates/AI-Acceptable-Use-Policy.md new file mode 100644 index 0000000..41af44a --- /dev/null +++ b/BizDeedz/Offers/templates/AI-Acceptable-Use-Policy.md @@ -0,0 +1,334 @@ +# AI Acceptable Use Policy + +**[FIRM NAME]** + +**Effective Date:** [DATE] +**Version:** 1.0 +**Approved By:** [NAME, TITLE] + +--- + +## 1. Purpose + +This policy establishes guidelines for the acceptable use of artificial intelligence (AI) tools and services at [FIRM NAME]. It ensures AI is used in ways that enhance our practice while protecting client confidentiality, maintaining professional responsibility, and managing risk. + +--- + +## 2. Scope + +This policy applies to: +- All attorneys, paralegals, and staff +- All AI tools, including but not limited to: + - Generative AI (ChatGPT, Claude, Copilot, etc.) + - Practice-specific AI features in our software + - Automation tools with AI components + - Research and analytics tools using AI +- All work performed on behalf of the firm, including remote work + +--- + +## 3. Definitions + +**AI Tool:** Any software or service that uses machine learning, natural language processing, or similar technologies to generate, analyze, or process information. + +**Public AI Tool:** AI services accessible to the general public where input may be used to train models or stored by third parties (e.g., free-tier ChatGPT, Bard). + +**Enterprise AI Tool:** AI services with business agreements that include data protection, no training on inputs, and contractual safeguards. + +**Approved AI Tool:** An AI tool vetted and authorized by the firm for specific use cases. + +--- + +## 4. Guiding Principles + +1. **Human Judgment First:** AI assists human decision-making; it does not replace professional judgment. + +2. **Client Protection:** Client confidentiality and privilege must never be compromised. + +3. **Accuracy Over Speed:** AI output must be verified before use; speed gains cannot come at the cost of correctness. + +4. **Transparency:** When relevant, clients should be informed about AI use in their matters. + +5. **Continuous Learning:** We will regularly review and update AI practices as technology and ethics evolve. + +--- + +## 5. Approved Uses + +The following uses of AI are **approved** when using vetted, enterprise AI tools: + +### 5.1 Internal Productivity + +- Summarizing internal documents and research +- Drafting internal communications +- Generating first drafts of administrative content +- Brainstorming and outlining + +### 5.2 Legal Work (with Human Review) + +| Activity | AI Role | Human Requirement | +|----------|---------|-------------------| +| Document classification | Suggest category | Paralegal confirms | +| Template-based drafting | Generate first draft | Attorney reviews and edits | +| Deadline extraction | Identify dates from documents | Paralegal verifies | +| Research summarization | Summarize sources | Attorney validates | +| Client communication drafts | Generate draft text | Attorney approves before send | + +### 5.3 Intake and Client Service + +- Summarizing intake form responses +- Generating follow-up email drafts (human review required) +- Suggesting matter routing based on criteria +- Extracting key information from documents + +--- + +## 6. Prohibited Uses + +The following uses are **strictly prohibited**: + +### 6.1 Public AI Tools with Client Data + +**Never** input the following into public AI tools: +- Client names or identifying information +- Case details or facts +- Privileged communications +- Confidential documents or their contents +- Opposing party information +- Financial or billing data + +### 6.2 Unsupervised Legal Work + +- Generating legal advice sent directly to clients without attorney review +- Filing documents created by AI without human verification +- Making strategic decisions based solely on AI recommendations +- Using AI output as final work product + +### 6.3 Misrepresentation + +- Representing AI-generated content as original human work when disclosure is required +- Using AI to create false or misleading information +- Fabricating citations or authorities (AI "hallucinations") + +### 6.4 Circumventing Controls + +- Disabling logging or audit features +- Using personal accounts for firm work +- Sharing credentials for AI tools +- Using unapproved AI tools for client matters + +--- + +## 7. Client Data Protection + +### 7.1 Before Using AI with Client Information + +1. **Confirm the tool is approved** for use with client data +2. **Verify data handling terms** (no training, encryption, deletion) +3. **Consider necessity:** Is AI needed, or is manual processing appropriate? +4. **Minimize data:** Use only the information required + +### 7.2 Data Handling Requirements + +| Data Type | Public AI | Enterprise AI (Approved) | +|-----------|-----------|--------------------------| +| Client PII | Never | With controls | +| Case facts | Never | With controls | +| Privileged content | Never | Carefully, with controls | +| Public information | Permitted | Permitted | +| Internal admin | Permitted | Permitted | + +### 7.3 Engagement Letters + +Consider including AI disclosure language in engagement letters: + +> "Our firm may use artificial intelligence tools to assist with administrative tasks, document processing, and legal research. All AI-assisted work is reviewed by qualified attorneys. Client information is only used with AI tools that meet our data protection standards and is never used to train AI models." + +--- + +## 8. Human Review Requirements + +### 8.1 Mandatory Human Review + +The following **always** require human review before use or transmission: + +- Any communication sent to clients +- Any document filed with a court or agency +- Any legal advice or recommendations +- Any document sent to opposing counsel +- Any content containing legal citations +- Any work product leaving the firm + +### 8.2 Review Standards + +When reviewing AI output, the reviewer must: + +1. **Verify accuracy:** Confirm facts, citations, and calculations +2. **Check for hallucinations:** Validate that cited cases/statutes exist +3. **Assess appropriateness:** Ensure tone and content fit the purpose +4. **Apply judgment:** Consider what AI cannot—strategy, nuance, ethics +5. **Take ownership:** The reviewer is responsible for the final product + +--- + +## 9. Approved AI Tools + +### 9.1 Currently Approved + +| Tool | Approved Uses | Restrictions | +|------|---------------|--------------| +| [TOOL 1] | [Uses] | [Restrictions] | +| [TOOL 2] | [Uses] | [Restrictions] | +| [PM Software AI Features] | [Uses] | [Restrictions] | + +### 9.2 Requesting New Tools + +To request approval for a new AI tool: + +1. Submit request to [ROLE/EMAIL] +2. Provide: vendor name, use case, data handling terms, cost +3. IT/Compliance will evaluate security and privacy +4. Managing partner approval required for client data use +5. If approved, tool is added to this policy + +--- + +## 10. Logging and Audit + +### 10.1 What Is Logged + +- Use of AI tools (who, when, which tool) +- Queries involving client matters +- Output saved to client files + +### 10.2 Audit Rights + +The firm reserves the right to: +- Review AI usage logs +- Audit compliance with this policy +- Investigate suspected violations + +### 10.3 Retention + +AI interaction logs are retained for [X YEARS] consistent with our data retention policy. + +--- + +## 11. Training and Competence + +### 11.1 Required Training + +All staff must complete AI usage training: +- Initial training upon policy adoption +- Refresher training annually +- Update training when policy changes + +### 11.2 Training Content + +- This policy and its requirements +- Approved vs. prohibited uses +- Recognizing AI limitations and errors +- Data protection practices +- Reporting concerns + +--- + +## 12. Reporting Concerns + +### 12.1 What to Report + +- Suspected policy violations +- AI tool security concerns +- Potential client data exposure +- Observed AI errors or risks + +### 12.2 How to Report + +Report concerns to [ROLE/EMAIL]. Reports may be made anonymously. + +### 12.3 No Retaliation + +The firm prohibits retaliation against anyone who reports AI concerns in good faith. + +--- + +## 13. Violations + +### 13.1 Consequences + +Violations of this policy may result in: +- Additional training +- Revocation of AI access +- Disciplinary action up to termination +- Professional responsibility referral (if applicable) + +### 13.2 Determining Severity + +| Factor | Lower Severity | Higher Severity | +|--------|----------------|-----------------| +| Intent | Unintentional error | Deliberate bypass | +| Impact | No client data exposed | Client data compromised | +| Pattern | First occurrence | Repeated violations | +| Disclosure | Self-reported | Discovered by others | + +--- + +## 14. Policy Maintenance + +### 14.1 Review Cycle + +This policy will be reviewed: +- Quarterly for the first year +- Annually thereafter +- Upon significant AI developments or incidents + +### 14.2 Updates + +Policy updates require: +- Review by [ROLE] +- Approval by [ROLE] +- Communication to all staff +- Training on material changes + +--- + +## 15. Acknowledgment + +I have read and understand the AI Acceptable Use Policy. I agree to comply with its requirements. + +**Name:** _________________________ + +**Title:** _________________________ + +**Signature:** _________________________ + +**Date:** _________________________ + +--- + +## Appendix A: Quick Reference Card + +### Always OK +- Summarizing your own notes +- Drafting internal emails +- Brainstorming ideas +- Learning about legal concepts (general) + +### OK with Approved Tools + Human Review +- Drafting from templates +- Summarizing documents +- Client communication drafts +- Research assistance + +### Never OK +- Client data in public AI +- Sending AI output without review +- Fabricated citations +- Bypassing controls + +### When in Doubt +Ask [ROLE] before proceeding. + +--- + +*Policy prepared with assistance from BizDeedz, Inc.* diff --git a/BizDeedz/Offers/templates/AI-Readiness-Scorecard-Template.md b/BizDeedz/Offers/templates/AI-Readiness-Scorecard-Template.md new file mode 100644 index 0000000..28906b4 --- /dev/null +++ b/BizDeedz/Offers/templates/AI-Readiness-Scorecard-Template.md @@ -0,0 +1,388 @@ +# AI Readiness Scorecard + +**Client:** [FIRM NAME] +**Assessment Date:** [DATE] +**Prepared by:** BizDeedz, Inc. + +--- + +## Executive Summary + +### Overall Readiness Score: [X.X] / 5.0 + +**Readiness Level:** [Not Ready | Foundational | Developing | Ready | Optimized] + +| Level | Score Range | Meaning | +|-------|-------------|---------| +| Not Ready | 0.0 - 1.0 | Significant gaps; foundational work required before AI | +| Foundational | 1.1 - 2.0 | Basic elements in place; substantial prep needed | +| Developing | 2.1 - 3.0 | Processes defined; targeted improvements enable AI | +| Ready | 3.1 - 4.0 | Strong foundation; ready for controlled AI deployment | +| Optimized | 4.1 - 5.0 | Mature operations; positioned for advanced AI | + +### Top 3 Strengths + +1. **[STRENGTH 1]:** [One sentence description] +2. **[STRENGTH 2]:** [One sentence description] +3. **[STRENGTH 3]:** [One sentence description] + +### Top 3 Gaps + +1. **[GAP 1]:** [One sentence description + impact] +2. **[GAP 2]:** [One sentence description + impact] +3. **[GAP 3]:** [One sentence description + impact] + +### Recommended First Move + +[2-3 sentences on the single most impactful action to take in the next 30 days] + +--- + +## Pillar Scores + +| Pillar | Score | Status | +|--------|-------|--------| +| 1. Process Maturity | [X] / 5 | [Status] | +| 2. Data Quality | [X] / 5 | [Status] | +| 3. Knowledge System | [X] / 5 | [Status] | +| 4. Tooling & Integrations | [X] / 5 | [Status] | +| 5. Risk & Governance | [X] / 5 | [Status] | +| 6. Change Capacity | [X] / 5 | [Status] | + +*Status: Critical | Needs Work | Adequate | Strong | Excellent* + +### Visual Summary + +``` +Process Maturity [████░░░░░░] 4/5 +Data Quality [██░░░░░░░░] 2/5 +Knowledge System [███░░░░░░░] 3/5 +Tooling [████░░░░░░] 4/5 +Risk & Governance [█░░░░░░░░░] 1/5 +Change Capacity [███░░░░░░░] 3/5 +``` + +--- + +## Pillar 1: Process Maturity + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs describing the observed process maturity across intake, case setup, drafting, filing, and post-filing workflows. Include specific observations from interviews and artifact review.] + +### Key Findings + +| Area | Finding | Impact | +|------|---------|--------| +| Intake | [Observation] | [Impact on AI readiness] | +| Case Setup | [Observation] | [Impact on AI readiness] | +| Drafting | [Observation] | [Impact on AI readiness] | +| Filing | [Observation] | [Impact on AI readiness] | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] +3. [Specific recommendation with action] + +--- + +## Pillar 2: Data Quality + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs on data quality findings: field consistency, duplicates, nulls, naming conventions, taxonomy.] + +### Data Profiling Results + +| Metric | Value | Benchmark | Status | +|--------|-------|-----------|--------| +| Duplicate Rate | [X]% | <5% | [Pass/Fail] | +| Null Rate (Critical Fields) | [X]% | <10% | [Pass/Fail] | +| Taxonomy Consistency | [X]% | >90% | [Pass/Fail] | +| Naming Convention Compliance | [X]% | >80% | [Pass/Fail] | + +### Critical Field Analysis + +| Field | Completeness | Consistency | Issue | +|-------|--------------|-------------|-------| +| Client Name | [X]% | [X]% | [Issue if any] | +| Matter Type | [X]% | [X]% | [Issue if any] | +| Open Date | [X]% | [X]% | [Issue if any] | +| Assigned Attorney | [X]% | [X]% | [Issue if any] | +| Status | [X]% | [X]% | [Issue if any] | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] +3. [Specific recommendation with action] + +--- + +## Pillar 3: Knowledge System + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs on where institutional knowledge lives: templates, SOPs, playbooks, FAQs, training materials.] + +### Knowledge Inventory + +| Asset Type | Exists | Location | Currency | Accessibility | +|------------|--------|----------|----------|---------------| +| Document Templates | [Y/N] | [Where] | [Current/Outdated] | [Easy/Hard] | +| Intake Scripts | [Y/N] | [Where] | [Current/Outdated] | [Easy/Hard] | +| Process SOPs | [Y/N] | [Where] | [Current/Outdated] | [Easy/Hard] | +| Filing Checklists | [Y/N] | [Where] | [Current/Outdated] | [Easy/Hard] | +| Training Materials | [Y/N] | [Where] | [Current/Outdated] | [Easy/Hard] | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] + +--- + +## Pillar 4: Tooling & Integrations + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs on current technology stack and integration status.] + +### Systems Inventory + +| System | Tool | Integration Status | Data Flow | +|--------|------|-------------------|-----------| +| Practice Management | [Tool] | [Native/API/Manual/None] | [Describe] | +| Document Management | [Tool] | [Native/API/Manual/None] | [Describe] | +| Email | [Tool] | [Native/API/Manual/None] | [Describe] | +| Billing | [Tool] | [Native/API/Manual/None] | [Describe] | +| E-Sign | [Tool] | [Native/API/Manual/None] | [Describe] | +| Intake Forms | [Tool] | [Native/API/Manual/None] | [Describe] | + +### Integration Gaps + +| Gap | Current Workaround | Impact | +|-----|-------------------|--------| +| [Gap 1] | [Manual process] | [Time/errors] | +| [Gap 2] | [Manual process] | [Time/errors] | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] + +--- + +## Pillar 5: Risk & Governance + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs on current governance posture: policies, access controls, audit trails, compliance awareness.] + +### Governance Assessment + +| Control | Status | Gap | +|---------|--------|-----| +| Data access controls | [None/Basic/Role-based/Full] | [Gap if any] | +| AI usage policy | [None/Informal/Written/Enforced] | [Gap if any] | +| Audit trail | [None/Partial/Complete] | [Gap if any] | +| Retention policy | [None/Written/Automated] | [Gap if any] | +| Confidentiality training | [None/Onboarding/Ongoing] | [Gap if any] | + +### Risk Considerations for AI + +| Risk | Likelihood | Impact | Current Control | +|------|------------|--------|-----------------| +| AI output used without review | [H/M/L] | [H/M/L] | [Control or None] | +| Client data in public AI | [H/M/L] | [H/M/L] | [Control or None] | +| Incorrect legal advice | [H/M/L] | [H/M/L] | [Control or None] | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] +3. [Specific recommendation with action] + +--- + +## Pillar 6: Change Capacity + +**Score: [X] / 5** + +### Current State + +[2-3 paragraphs on firm's ability to adopt new tools and processes: history, training, role clarity, executive support.] + +### Change Readiness Indicators + +| Indicator | Assessment | +|-----------|------------| +| Recent change history | [Success/Mixed/Failed/None] | +| Training infrastructure | [None/Ad-hoc/Formal] | +| Role clarity | [Unclear/Defined/Accountable] | +| Executive sponsorship | [Skeptical/Interested/Active] | +| Staff appetite | [Resistant/Cautious/Eager] | + +### Key Stakeholders + +| Role | Name | Stance | Influence | +|------|------|--------|-----------| +| Decision Maker | [Name] | [Champion/Neutral/Skeptic] | High | +| Operations Lead | [Name] | [Champion/Neutral/Skeptic] | Medium | +| Key User | [Name] | [Champion/Neutral/Skeptic] | Medium | + +### Recommendations + +1. [Specific recommendation with action] +2. [Specific recommendation with action] + +--- + +## Use-Case Portfolio + +### Recommended AI Opportunities + +| Rank | Use Case | Feasibility | Impact | Risk | Timeline | +|------|----------|-------------|--------|------|----------| +| 1 | [Use case] | [H/M/L] | [H/M/L] | [H/M/L] | [30/60/90 days] | +| 2 | [Use case] | [H/M/L] | [H/M/L] | [H/M/L] | [30/60/90 days] | +| 3 | [Use case] | [H/M/L] | [H/M/L] | [H/M/L] | [30/60/90 days] | +| 4 | [Use case] | [H/M/L] | [H/M/L] | [H/M/L] | [30/60/90 days] | +| 5 | [Use case] | [H/M/L] | [H/M/L] | [H/M/L] | [30/60/90 days] | + +### Combined ROI Projection + +| Metric | Year 1 Estimate | +|--------|-----------------| +| Hours saved (annual) | [X] hours | +| Value at staff rate | $[X] | +| Value at billable rate | $[X] | +| Implementation investment | $[X] | +| Net value | $[X] | +| Payback period | [X] months | + +*See Use-Case One-Pagers for detailed breakdown.* + +--- + +## 30/60/90 Day Roadmap + +### Days 1-30: Foundation + +**Objective:** [One-sentence goal] + +| Task | Owner | Deliverable | +|------|-------|-------------| +| [Task 1] | [Role] | [Output] | +| [Task 2] | [Role] | [Output] | +| [Task 3] | [Role] | [Output] | + +**Success Criteria:** [How you know it's done] + +### Days 31-60: Build + +**Objective:** [One-sentence goal] + +| Task | Owner | Deliverable | +|------|-------|-------------| +| [Task 1] | [Role] | [Output] | +| [Task 2] | [Role] | [Output] | +| [Task 3] | [Role] | [Output] | + +**Success Criteria:** [How you know it's done] + +### Days 61-90: Activate + +**Objective:** [One-sentence goal] + +| Task | Owner | Deliverable | +|------|-------|-------------| +| [Task 1] | [Role] | [Output] | +| [Task 2] | [Role] | [Output] | +| [Task 3] | [Role] | [Output] | + +**Success Criteria:** [How you know it's done] + +--- + +## Governance Starter Kit Summary + +### Included Documents + +1. **AI Acceptable Use Policy** - Defines approved and prohibited AI uses +2. **Access & Permissions Model** - Role-based access controls +3. **Human-in-the-Loop Rules** - Escalation triggers and exception handling +4. **Retention & Logging Requirements** - Audit trail specifications + +### Implementation Priority + +| Document | Priority | Effort | Timeline | +|----------|----------|--------|----------| +| AI Acceptable Use Policy | Critical | Low | Week 1 | +| Access & Permissions | High | Medium | Week 2-3 | +| Human-in-the-Loop Rules | High | Low | Week 2 | +| Retention & Logging | Medium | Medium | Week 3-4 | + +--- + +## Next Steps + +### Option A: Self-Implementation + +Use this scorecard and the accompanying governance kit to drive your own AI readiness improvements. Recommended if you have internal operations capacity. + +### Option B: Implementation Sprint + +BizDeedz can execute the 30-day roadmap items in a 2-week sprint. Fixed scope, fixed fee. + +**Sprint 1 typically includes:** +- Data taxonomy standardization +- Intake routing automation +- Document automation foundation +- KPI dashboard setup + +**Investment:** $7,500 + +### Option C: Full Engagement + +Scorecard + Implementation Sprints + Ongoing Optimization Retainer + +**Monthly retainer includes:** +- KPI monitoring +- Automation health checks +- Backlog grooming +- Quarterly governance refresh + +**Investment:** $2,500/month (3-month minimum) + +--- + +## Appendix + +### A. Interview Summary +[Key quotes and observations from interviews] + +### B. Data Quality Details +[Full profiling output] + +### C. Systems Architecture Diagram +[Current state diagram] + +### D. Assumptions & Limitations +[What this assessment does and does not cover] + +--- + +*Assessment conducted by BizDeedz, Inc.* +*For questions: [CONTACT EMAIL]* diff --git a/BizDeedz/Offers/templates/Pre-Call-Questionnaire.md b/BizDeedz/Offers/templates/Pre-Call-Questionnaire.md new file mode 100644 index 0000000..6273ae4 --- /dev/null +++ b/BizDeedz/Offers/templates/Pre-Call-Questionnaire.md @@ -0,0 +1,120 @@ +# Pre-Call Snapshot Questionnaire + +*Please complete before our discovery call. Takes 5-10 minutes.* + +--- + +## Your Firm + +**Firm Name:** _______________ + +**Primary Practice Area(s):** (select all that apply) +- [ ] Bankruptcy +- [ ] Family Law +- [ ] Estate Planning / Probate +- [ ] Personal Injury +- [ ] Civil Litigation +- [ ] Criminal Defense +- [ ] Immigration +- [ ] Real Estate +- [ ] Other: _______________ + +**Number of Attorneys:** ___ + +**Number of Support Staff:** +- Paralegals: ___ +- Intake/Reception: ___ +- Administrative: ___ + +--- + +## Your Technology + +**Practice Management Software:** +- [ ] Clio +- [ ] MyCase +- [ ] PracticePanther +- [ ] Smokeball +- [ ] Filevine +- [ ] CosmoLex +- [ ] None +- [ ] Other: _______________ + +**Document Management:** +- [ ] NetDocuments +- [ ] iManage +- [ ] Google Drive +- [ ] Dropbox +- [ ] OneDrive/SharePoint +- [ ] Local server +- [ ] None +- [ ] Other: _______________ + +**Other Key Tools:** (e.g., e-sign, billing, intake forms) +_______________________________________________ + +--- + +## Your Pain Points + +**Top 2 Operational Challenges:** (select exactly 2) +- [ ] Intake takes too long or drops leads +- [ ] Drafting is slow and inconsistent +- [ ] Missed deadlines or filing errors +- [ ] Can't find documents or data +- [ ] Client communication gaps +- [ ] Too much rework and corrections +- [ ] Reporting/visibility is poor +- [ ] Other: _______________ + +**How would you describe your current operations?** +- [ ] Chaotic—different every time +- [ ] Informal—we have ways of doing things but nothing written +- [ ] Defined—we have SOPs but don't always follow them +- [ ] Consistent—we follow our processes most of the time +- [ ] Optimized—we measure and continuously improve + +--- + +## Your AI Experience + +**Have you tried AI tools before?** +- [ ] No +- [ ] Yes, briefly +- [ ] Yes, ongoing use + +**If yes, what tools?** _______________ + +**What happened?** (select all that apply) +- [ ] Worked well, want to expand +- [ ] Useful but limited +- [ ] Didn't stick—adoption failed +- [ ] Concerns about accuracy +- [ ] Concerns about confidentiality +- [ ] Not applicable + +--- + +## Your Goals + +**What does success look like in 90 days?** +_______________________________________________ +_______________________________________________ + +**Who is the decision-maker for this engagement?** + +Name: _______________ +Title: _______________ +Email: _______________ + +--- + +## Anything Else? + +**What should we know before our call?** +_______________________________________________ +_______________________________________________ + +--- + +*Thank you! We'll review this before our call to make the most of our time together.* diff --git a/BizDeedz/Offers/templates/Use-Case-ROI-Calculator.md b/BizDeedz/Offers/templates/Use-Case-ROI-Calculator.md new file mode 100644 index 0000000..d5d9b39 --- /dev/null +++ b/BizDeedz/Offers/templates/Use-Case-ROI-Calculator.md @@ -0,0 +1,243 @@ +# Use-Case ROI Calculator + +**Client:** [FIRM NAME] +**Use Case:** [USE CASE NAME] +**Date:** [DATE] + +--- + +## Use Case Summary + +**Problem Statement:** +[What pain does this solve? 2-3 sentences on current state.] + +**Proposed Solution:** +[What will automation do? 2-3 sentences on future state.] + +--- + +## Volume Analysis + +| Metric | Value | Source | +|--------|-------|--------| +| Occurrences per week | [X] | [How calculated] | +| Occurrences per month | [X] | [Weekly × 4.3] | +| Occurrences per year | [X] | [Monthly × 12] | + +--- + +## Time Savings + +### Current State + +| Step | Time per Occurrence | Performed By | +|------|---------------------|--------------| +| [Step 1] | [X] min | [Role] | +| [Step 2] | [X] min | [Role] | +| [Step 3] | [X] min | [Role] | +| [Step 4] | [X] min | [Role] | +| **Total** | **[X] min** | | + +### Future State (With Automation) + +| Step | Time per Occurrence | Performed By | +|------|---------------------|--------------| +| [Step 1] | [X] min | [Auto/Role] | +| [Step 2] | [X] min | [Auto/Role] | +| [Step 3] | [X] min | [Auto/Role] | +| [Step 4] | [X] min | [Auto/Role] | +| **Total** | **[X] min** | | + +### Time Saved + +| Metric | Calculation | Value | +|--------|-------------|-------| +| Time saved per occurrence | [Current - Future] | [X] min | +| Weekly time saved | [Per occurrence × Weekly volume] | [X] min | +| Monthly time saved | [Weekly × 4.3] | [X] hours | +| Annual time saved | [Monthly × 12] | [X] hours | + +--- + +## Error Reduction + +### Current Error Profile + +| Error Type | Frequency | Rework Time | Impact | +|------------|-----------|-------------|--------| +| [Error 1] | [X]/month | [X] min each | [Describe] | +| [Error 2] | [X]/month | [X] min each | [Describe] | +| [Error 3] | [X]/month | [X] min each | [Describe] | + +### Projected Error Reduction + +| Error Type | Current | Projected | Reduction | +|------------|---------|-----------|-----------| +| [Error 1] | [X]/month | [X]/month | [X]% | +| [Error 2] | [X]/month | [X]/month | [X]% | +| [Error 3] | [X]/month | [X]/month | [X]% | + +### Rework Time Saved + +| Metric | Calculation | Value | +|--------|-------------|-------| +| Current monthly rework | [Errors × Rework time] | [X] hours | +| Projected monthly rework | [Reduced errors × Rework time] | [X] hours | +| Monthly rework saved | [Current - Projected] | [X] hours | +| Annual rework saved | [Monthly × 12] | [X] hours | + +--- + +## Financial Impact + +### Labor Cost Assumptions + +| Role | Hourly Cost | Billable Rate | +|------|-------------|---------------| +| Partner | $[X] | $[X] | +| Associate | $[X] | $[X] | +| Paralegal | $[X] | $[X] | +| Admin/Intake | $[X] | N/A | + +*Hourly cost = fully loaded (salary + benefits + overhead)* + +### Direct Labor Savings + +| Metric | Hours | × Rate | Value | +|--------|-------|--------|-------| +| Annual time saved | [X] | $[X] | $[X] | +| Annual rework saved | [X] | $[X] | $[X] | +| **Total labor savings** | **[X]** | | **$[X]** | + +### Capacity Unlocked + +| Metric | Calculation | Value | +|--------|-------------|-------| +| Hours freed annually | [Total hours saved] | [X] hours | +| If redirected to billable work | [Hours × Billable rate × Utilization %] | $[X] | +| If used to handle more volume | [Hours ÷ Time per matter × Avg matter value] | $[X] | + +### Revenue Protection / Acceleration + +| Impact | Assumption | Annual Value | +|--------|------------|--------------| +| Faster intake → Higher conversion | [X]% improvement × [X] leads × $[X] avg | $[X] | +| Fewer missed deadlines → Fewer write-offs | [X]% reduction × $[X] at-risk | $[X] | +| Faster cycle time → Faster collection | [X] days faster × $[X] avg AR | $[X] | + +--- + +## Implementation Cost + +### One-Time Costs + +| Item | Cost | +|------|------| +| BizDeedz implementation sprint | $[X] | +| Client staff time (implementation) | [X] hours × $[X] = $[X] | +| Tool/license costs (if any) | $[X] | +| **Total one-time** | **$[X]** | + +### Ongoing Costs + +| Item | Monthly | Annual | +|------|---------|--------| +| Tool/license fees | $[X] | $[X] | +| Maintenance/monitoring | $[X] | $[X] | +| **Total ongoing** | **$[X]** | **$[X]** | + +--- + +## ROI Summary + +### Conservative Estimate (Labor Savings Only) + +| Metric | Value | +|--------|-------| +| Annual benefit | $[X] | +| Year 1 cost (one-time + ongoing) | $[X] | +| Year 1 net value | $[X] | +| Payback period | [X] months | +| 3-year ROI | [X]% | + +### Moderate Estimate (Labor + Capacity) + +| Metric | Value | +|--------|-------| +| Annual benefit | $[X] | +| Year 1 cost | $[X] | +| Year 1 net value | $[X] | +| Payback period | [X] months | +| 3-year ROI | [X]% | + +### Optimistic Estimate (Labor + Capacity + Revenue) + +| Metric | Value | +|--------|-------| +| Annual benefit | $[X] | +| Year 1 cost | $[X] | +| Year 1 net value | $[X] | +| Payback period | [X] months | +| 3-year ROI | [X]% | + +--- + +## Sensitivity Analysis + +### If volume is 25% lower than estimated: + +| Metric | Original | Adjusted | +|--------|----------|----------| +| Annual time saved | [X] hours | [X] hours | +| Annual value | $[X] | $[X] | +| Payback period | [X] months | [X] months | + +### If implementation takes 50% longer: + +| Metric | Original | Adjusted | +|--------|----------|----------| +| Implementation cost | $[X] | $[X] | +| Year 1 net value | $[X] | $[X] | +| Payback period | [X] months | [X] months | + +--- + +## Risk Factors + +| Risk | Likelihood | Impact | Mitigation | +|------|------------|--------|------------| +| Lower volume than estimated | [H/M/L] | [H/M/L] | Validate with 3-month data | +| Staff adoption issues | [H/M/L] | [H/M/L] | Training + change mgmt | +| Technical integration issues | [H/M/L] | [H/M/L] | Prototype first | +| Process exceptions require workarounds | [H/M/L] | [H/M/L] | Document exceptions upfront | + +--- + +## Recommendation + +**Proceed?** [Yes / Yes with conditions / No] + +**Confidence Level:** [High / Medium / Low] + +**Rationale:** +[2-3 sentences summarizing why this use case is or isn't worth pursuing] + +**Conditions (if any):** +- [Condition 1] +- [Condition 2] + +--- + +## Assumptions Log + +| Assumption | Value | Source | Sensitivity | +|------------|-------|--------|-------------| +| Weekly volume | [X] | [Source] | [High/Med/Low] | +| Time per occurrence | [X] min | [Source] | [High/Med/Low] | +| Error rate | [X]% | [Source] | [High/Med/Low] | +| Staff hourly cost | $[X] | [Source] | [Low] | +| Billable rate | $[X] | [Source] | [Low] | + +--- + +*Calculator prepared by BizDeedz, Inc.* diff --git a/ai-readiness-accelerator/.env.example b/ai-readiness-accelerator/.env.example new file mode 100644 index 0000000..6345af2 --- /dev/null +++ b/ai-readiness-accelerator/.env.example @@ -0,0 +1 @@ +VITE_GEMINI_API_KEY=your_gemini_api_key_here diff --git a/ai-readiness-accelerator/.gitignore b/ai-readiness-accelerator/.gitignore new file mode 100644 index 0000000..77bdac0 --- /dev/null +++ b/ai-readiness-accelerator/.gitignore @@ -0,0 +1,35 @@ +# Dependencies +node_modules +.pnp +.pnp.js + +# Build +dist +dist-ssr +*.local + +# Environment +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Editor +.vscode/* +!.vscode/extensions.json +.idea +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Logs +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Testing +coverage diff --git a/ai-readiness-accelerator/index.html b/ai-readiness-accelerator/index.html new file mode 100644 index 0000000..fa93dd3 --- /dev/null +++ b/ai-readiness-accelerator/index.html @@ -0,0 +1,17 @@ + + + + + + + + AI Readiness Accelerator | BizDeedz + + + + + +
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"eslint-plugin-react-refresh": "^0.4.5", + "postcss": "^8.4.35", + "tailwindcss": "^3.4.1", + "typescript": "^5.3.3", + "vite": "^5.1.0" + } +} diff --git a/ai-readiness-accelerator/postcss.config.js b/ai-readiness-accelerator/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/ai-readiness-accelerator/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/ai-readiness-accelerator/src/App.tsx b/ai-readiness-accelerator/src/App.tsx new file mode 100644 index 0000000..3d19374 --- /dev/null +++ b/ai-readiness-accelerator/src/App.tsx @@ -0,0 +1,127 @@ +import { useState, useCallback } from 'react'; +import { Header, Footer } from './components/layout'; +import { ErrorBoundary } from './components/shared'; +import { LandingView, AssessmentView, ResultsView } from './views'; +import type { AssessmentResponses } from './types/assessment.types'; +import type { FirmProfile } from './types/firm.types'; + +/** + * View state for the application + * - landing: Initial landing page with value proposition + * - assessment: Multi-step assessment questionnaire + * - results: Assessment results and recommendations + */ +type ViewState = 'landing' | 'assessment' | 'results'; + +/** + * Data collected during the assessment process + */ +interface AssessmentData { + responses: AssessmentResponses; + firmProfile: FirmProfile; +} + +/** + * Main application component for the AI Readiness Accelerator + * Manages view routing and assessment state + */ +function App() { + // Current view state + const [currentView, setCurrentView] = useState('landing'); + + // Assessment data collected during the assessment process + const [assessmentData, setAssessmentData] = useState(null); + + /** + * Navigate to the assessment view + */ + const handleStartAssessment = useCallback(() => { + setCurrentView('assessment'); + }, []); + + /** + * Handle assessment completion - save data and navigate to results + */ + const handleAssessmentComplete = useCallback( + (data: { responses: AssessmentResponses; firmProfile: FirmProfile }) => { + setAssessmentData(data); + setCurrentView('results'); + }, + [] + ); + + /** + * Reset application state and return to landing page + */ + const handleReset = useCallback(() => { + setAssessmentData(null); + setCurrentView('landing'); + }, []); + + /** + * Navigate back from assessment to landing page + */ + const handleBack = useCallback(() => { + setCurrentView('landing'); + }, []); + + /** + * Render the appropriate view based on current state + */ + const renderView = () => { + switch (currentView) { + case 'landing': + return ; + + case 'assessment': + return ( + + ); + + case 'results': + if (!assessmentData) { + // If somehow we're on results without data, go back to landing + setCurrentView('landing'); + return null; + } + return ( + + ); + + default: + return ; + } + }; + + return ( + +
+ {/* Header - always visible, shows reset button when not on landing */} +
+ + {/* Main content area */} +
+ {renderView()} +
+ + {/* Footer - always visible */} +
+
+
+ ); +} + +export default App; diff --git a/ai-readiness-accelerator/src/components/assessment/AssessmentContainer.tsx b/ai-readiness-accelerator/src/components/assessment/AssessmentContainer.tsx new file mode 100644 index 0000000..49e4e5c --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/AssessmentContainer.tsx @@ -0,0 +1,138 @@ +import React from 'react'; +import { Card } from '../ui'; +import { PILLAR_DEFINITIONS } from '../../constants/pillars'; +import { ProgressIndicator } from './ProgressIndicator'; +import { FirmProfileForm, type FirmProfileFormData } from './FirmProfileForm'; +import { PillarSection } from './PillarSection'; +import { AssessmentNavigation } from './AssessmentNavigation'; +import type { QuestionResponse } from './QuestionCard'; +import type { PillarId } from '../../types/assessment.types'; + +/** + * Map of pillar IDs to responses organized by pillar + */ +export type AssessmentResponses = Record; + +export interface AssessmentContainerProps { + /** Current step index (0 = profile, 1-6 = pillars) */ + currentStep: number; + /** Total number of steps (7: profile + 6 pillars) */ + totalSteps: number; + /** Firm profile data */ + firmProfile: FirmProfileFormData | null; + /** All assessment responses organized by pillar */ + responses: AssessmentResponses; + /** Callback when firm profile changes */ + onFirmProfileChange: (profile: FirmProfileFormData) => void; + /** Callback when a question response changes */ + onResponseChange: (pillarId: PillarId, response: QuestionResponse) => void; + /** Callback to go to next step */ + onNext: () => void; + /** Callback to go to previous step */ + onPrev: () => void; + /** Callback to submit the assessment */ + onSubmit: () => void; + /** Whether submission is in progress */ + isSubmitting?: boolean; +} + +/** + * AssessmentContainer is the main wrapper component for the assessment flow. + * It renders the progress indicator, form content (profile or pillar section), + * and navigation controls. + */ +export const AssessmentContainer: React.FC = ({ + currentStep, + totalSteps, + firmProfile, + responses, + onFirmProfileChange, + onResponseChange, + onNext, + onPrev, + onSubmit, + isSubmitting = false, +}) => { + // Get pillar names for progress indicator + const pillarNames = PILLAR_DEFINITIONS.map((p) => p.name); + + // Determine which pillar to show (if not on profile step) + const currentPillarIndex = currentStep - 1; // Step 1 = pillar index 0 + const currentPillar = + currentStep > 0 && currentStep <= PILLAR_DEFINITIONS.length + ? PILLAR_DEFINITIONS[currentPillarIndex] + : null; + + // Get responses for current pillar + const currentPillarResponses = + currentPillar && currentPillar.id + ? responses[currentPillar.id as PillarId] || [] + : []; + + // Determine navigation state + const canGoPrev = currentStep > 0; + + // For profile step: require name and at least one practice area + const isProfileValid = + firmProfile !== null && + firmProfile.firmName.trim() !== '' && + firmProfile.practiceAreas.length > 0; + + // For pillar steps: allow navigation even if not all questions answered + // (they can always go back and answer more) + const canGoNext = currentStep === 0 ? isProfileValid : true; + + const isLastStep = currentStep === totalSteps - 1; + + // Handle response change for current pillar + const handleResponseChange = (response: QuestionResponse) => { + if (currentPillar && currentPillar.id) { + onResponseChange(currentPillar.id as PillarId, response); + } + }; + + return ( + + {/* Progress Indicator */} +
+ +
+ + {/* Main content area */} +
+ {currentStep === 0 ? ( + + ) : currentPillar ? ( + + ) : ( +
+

Invalid step

+
+ )} +
+ + {/* Navigation */} +
+ +
+
+ ); +}; + +export default AssessmentContainer; diff --git a/ai-readiness-accelerator/src/components/assessment/AssessmentNavigation.tsx b/ai-readiness-accelerator/src/components/assessment/AssessmentNavigation.tsx new file mode 100644 index 0000000..2bddd02 --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/AssessmentNavigation.tsx @@ -0,0 +1,85 @@ +import React from 'react'; +import { ChevronLeft, ChevronRight, Send, Save } from 'lucide-react'; +import { Button } from '../ui'; + +export interface AssessmentNavigationProps { + /** Whether the Previous button should be enabled */ + canGoPrev: boolean; + /** Whether the Next button should be enabled */ + canGoNext: boolean; + /** Whether this is the last step (shows Submit instead of Next) */ + isLastStep: boolean; + /** Callback for Previous button */ + onPrev: () => void; + /** Callback for Next button */ + onNext: () => void; + /** Callback for Submit button (only used on last step) */ + onSubmit: () => void; + /** Whether submission is in progress */ + isSubmitting?: boolean; +} + +/** + * AssessmentNavigation provides navigation controls for the assessment flow. + * Shows Previous/Next buttons with Submit on the final step. + * Includes an auto-save indicator. + */ +export const AssessmentNavigation: React.FC = ({ + canGoPrev, + canGoNext, + isLastStep, + onPrev, + onNext, + onSubmit, + isSubmitting = false, +}) => { + return ( +
+ {/* Auto-save indicator */} +
+
+ + {/* Navigation buttons */} +
+ {/* Previous button */} + + + {/* Next or Submit button */} + {isLastStep ? ( + + ) : ( + + )} +
+
+ ); +}; + +export default AssessmentNavigation; diff --git a/ai-readiness-accelerator/src/components/assessment/FirmProfileForm.tsx b/ai-readiness-accelerator/src/components/assessment/FirmProfileForm.tsx new file mode 100644 index 0000000..03ddaf2 --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/FirmProfileForm.tsx @@ -0,0 +1,280 @@ +import React, { useId } from 'react'; +import { Building2 } from 'lucide-react'; +import { Input, Select } from '../ui'; +import { + type PracticeArea, + type PracticeManagementTool, + type OperationsMaturity, + PRACTICE_AREA_LABELS, + PRACTICE_MANAGEMENT_LABELS, + OPERATIONS_MATURITY_INFO, +} from '../../types/firm.types'; + +/** + * Local type for form state that extends FirmProfile with required fields + */ +export interface FirmProfileFormData { + firmName: string; + practiceAreas: PracticeArea[]; + attorneyCount: number; + paralegalCount: number; + practiceManagement: PracticeManagementTool; + currentOperationsMaturity: OperationsMaturity; +} + +export interface FirmProfileFormProps { + /** Current profile data (null if not yet started) */ + profile: FirmProfileFormData | null; + /** Callback when any field changes */ + onChange: (profile: FirmProfileFormData) => void; +} + +/** + * Default values for a new firm profile + */ +const DEFAULT_PROFILE: FirmProfileFormData = { + firmName: '', + practiceAreas: [], + attorneyCount: 1, + paralegalCount: 0, + practiceManagement: 'none', + currentOperationsMaturity: 'informal', +}; + +/** + * FirmProfileForm collects basic information about the law firm + * before beginning the assessment. + */ +export const FirmProfileForm: React.FC = ({ + profile, + onChange, +}) => { + const practiceAreasId = useId(); + const maturityId = useId(); + + // Use profile or default values + const currentProfile = profile || DEFAULT_PROFILE; + + // Validation state + const errors = { + firmName: !currentProfile.firmName.trim() ? 'Firm name is required' : undefined, + practiceAreas: + currentProfile.practiceAreas.length === 0 + ? 'Select at least one practice area' + : undefined, + }; + + const handleFieldChange = ( + field: K, + value: FirmProfileFormData[K] + ) => { + onChange({ + ...currentProfile, + [field]: value, + }); + }; + + const handlePracticeAreaToggle = (area: PracticeArea) => { + const currentAreas = currentProfile.practiceAreas; + const newAreas = currentAreas.includes(area) + ? currentAreas.filter((a) => a !== area) + : [...currentAreas, area]; + handleFieldChange('practiceAreas', newAreas); + }; + + // Practice management options + const practiceManagementOptions = Object.entries(PRACTICE_MANAGEMENT_LABELS).map( + ([value, label]) => ({ value, label }) + ); + + return ( +
+ {/* Header */} +
+
+
+
+
+

Firm Profile

+

+ Tell us about your firm so we can tailor the assessment and recommendations. +

+
+
+
+ + {/* Form fields */} +
+ {/* Firm Name */} + handleFieldChange('firmName', e.target.value)} + error={errors.firmName} + placeholder="Enter your firm's name" + required + /> + + {/* Practice Areas - Multi-select checkboxes */} +
+ + Practice Areas + + +
+ {(Object.entries(PRACTICE_AREA_LABELS) as [PracticeArea, string][]).map( + ([value, label]) => { + const isChecked = currentProfile.practiceAreas.includes(value); + return ( + + ); + } + )} +
+ {errors.practiceAreas && ( + + )} +
+ + {/* Staff counts - side by side on desktop */} +
+ + handleFieldChange('attorneyCount', Math.max(1, parseInt(e.target.value) || 1)) + } + helpText="Partners, associates, and of counsel" + /> + + handleFieldChange('paralegalCount', Math.max(0, parseInt(e.target.value) || 0)) + } + helpText="Including legal assistants" + /> +
+ + {/* Practice Management Tool */} + handleFieldChange('currentOperationsMaturity', value)} + className="mt-0.5 h-4 w-4 text-primary-600 border-gray-300 focus:ring-primary-500" + /> +
+ + {label} + +

+ {description} +

+
+ + ); + })} +
+ +
+ + ); +}; + +export default FirmProfileForm; diff --git a/ai-readiness-accelerator/src/components/assessment/LikertScale.tsx b/ai-readiness-accelerator/src/components/assessment/LikertScale.tsx new file mode 100644 index 0000000..dbd9dd4 --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/LikertScale.tsx @@ -0,0 +1,171 @@ +import React, { useId } from 'react'; + +/** + * Likert scale labels for the maturity assessment + * 0 = Non-existent, 5 = Optimized + */ +export const MATURITY_LABELS: Record = { + 0: 'Non-existent', + 1: 'Ad-hoc', + 2: 'Defined', + 3: 'Followed', + 4: 'Consistent', + 5: 'Optimized', +}; + +export interface LikertScaleProps { + /** Current selected value (0-5 or undefined if not answered) */ + value: 0 | 1 | 2 | 3 | 4 | 5 | undefined; + /** Callback when value changes */ + onChange: (value: 0 | 1 | 2 | 3 | 4 | 5) => void; + /** Optional custom labels (defaults to MATURITY_LABELS) */ + labels?: Record; + /** Unique name for the radio group */ + name?: string; + /** Whether the scale is disabled */ + disabled?: boolean; +} + +/** + * LikertScale component renders a 6-point scale (0-5) as radio buttons. + * Used for assessment questions to rate maturity levels. + * Fully accessible with proper radio group semantics. + */ +export const LikertScale: React.FC = ({ + value, + onChange, + labels = MATURITY_LABELS, + name, + disabled = false, +}) => { + const generatedId = useId(); + const groupName = name || `likert-${generatedId}`; + const groupLabelId = `${groupName}-label`; + + const scaleValues = [0, 1, 2, 3, 4, 5] as const; + + return ( +
+ {/* Screen reader only label */} + + Rate on a scale from 0 (Non-existent) to 5 (Optimized) + + + {/* Desktop layout - horizontal */} +
+ {scaleValues.map((scaleValue) => { + const isSelected = value === scaleValue; + const labelText = labels[scaleValue] || String(scaleValue); + const inputId = `${groupName}-${scaleValue}`; + + return ( + + ); + })} +
+ + {/* Mobile layout - stacked */} +
+ {scaleValues.map((scaleValue) => { + const isSelected = value === scaleValue; + const labelText = labels[scaleValue] || String(scaleValue); + const inputId = `${groupName}-mobile-${scaleValue}`; + + return ( + + ); + })} +
+
+ ); +}; + +export default LikertScale; diff --git a/ai-readiness-accelerator/src/components/assessment/PillarSection.tsx b/ai-readiness-accelerator/src/components/assessment/PillarSection.tsx new file mode 100644 index 0000000..34ee3cd --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/PillarSection.tsx @@ -0,0 +1,112 @@ +import React from 'react'; +import { + Workflow, + Database, + BookOpen, + Settings, + Shield, + TrendingUp, + type LucideIcon, +} from 'lucide-react'; +import type { ExtendedPillarDefinition } from '../../constants/pillars'; +import { QuestionCard, type QuestionResponse, type Question } from './QuestionCard'; +import { ProgressBar } from '../ui'; + +/** + * Map of pillar icon names to Lucide components + */ +const ICON_MAP: Record = { + Workflow, + Database, + BookOpen, + Settings, + Shield, + TrendingUp, +}; + +export interface PillarSectionProps { + /** Pillar definition with questions */ + pillar: ExtendedPillarDefinition; + /** Array of responses for this pillar's questions */ + responses: QuestionResponse[]; + /** Callback when a response changes */ + onResponseChange: (response: QuestionResponse) => void; +} + +/** + * PillarSection displays all questions for a single assessment pillar. + * Includes pillar header with icon, description, and progress indicator. + */ +export const PillarSection: React.FC = ({ + pillar, + responses, + onResponseChange, +}) => { + const questions = pillar.questions || []; + const answeredCount = responses.filter((r) => r.value !== undefined).length; + const totalCount = questions.length; + const progressPercent = totalCount > 0 ? (answeredCount / totalCount) * 100 : 0; + + // Get the icon component + const iconName = (pillar as { icon?: string }).icon || 'Settings'; + const IconComponent = ICON_MAP[iconName] || Settings; + + // Find response for a specific question + const getResponseForQuestion = (questionId: string): QuestionResponse | undefined => { + return responses.find((r) => r.questionId === questionId); + }; + + return ( +
+ {/* Pillar header */} +
+
+ {/* Icon */} +
+
+ + {/* Title and description */} +
+

{pillar.name}

+ {pillar.description && ( +

{pillar.description}

+ )} +
+
+ + {/* Progress indicator */} +
+ +
+
+ + {/* Questions list */} +
+ {questions.map((question: Question, index: number) => ( +
+ +
+ ))} +
+ + {/* Empty state */} + {questions.length === 0 && ( +
+

No questions available for this pillar.

+
+ )} +
+ ); +}; + +export default PillarSection; diff --git a/ai-readiness-accelerator/src/components/assessment/ProgressIndicator.tsx b/ai-readiness-accelerator/src/components/assessment/ProgressIndicator.tsx new file mode 100644 index 0000000..59b7547 --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/ProgressIndicator.tsx @@ -0,0 +1,167 @@ +import React from 'react'; +import { Check, Building2 } from 'lucide-react'; + +export interface ProgressIndicatorProps { + /** Current step index (0 = profile, 1-6 = pillars) */ + currentStep: number; + /** Total number of steps (typically 7: profile + 6 pillars) */ + totalSteps: number; + /** Names of the pillars for steps 1-6 */ + pillarNames: string[]; +} + +/** + * ProgressIndicator displays a visual step indicator for the assessment flow. + * Shows circles connected by lines, with completed steps having checkmarks. + * Responsive: labels hidden on mobile, shown on desktop. + */ +export const ProgressIndicator: React.FC = ({ + currentStep, + totalSteps, + pillarNames, +}) => { + // Generate step labels (Profile + pillar names) + const stepLabels = ['Profile', ...pillarNames]; + + // Determine step states + const getStepState = (stepIndex: number): 'completed' | 'current' | 'upcoming' => { + if (stepIndex < currentStep) return 'completed'; + if (stepIndex === currentStep) return 'current'; + return 'upcoming'; + }; + + return ( +
+ {/* Current step name - mobile and desktop */} +
+ + Step {currentStep + 1} of {totalSteps} + +

+ {stepLabels[currentStep] || `Step ${currentStep + 1}`} +

+
+ + {/* Progress bar - mobile */} +
+
+
+
+
+
+
+ + {/* Step circles with connecting lines - desktop */} +
+ + + {/* Current step name - medium screens where labels are hidden */} +
+

+ {stepLabels[currentStep] || `Step ${currentStep + 1}`} +

+
+
+ + {/* Screen reader summary */} +
+ Step {currentStep + 1} of {totalSteps}: {stepLabels[currentStep]} +
+
+ ); +}; + +export default ProgressIndicator; diff --git a/ai-readiness-accelerator/src/components/assessment/QuestionCard.tsx b/ai-readiness-accelerator/src/components/assessment/QuestionCard.tsx new file mode 100644 index 0000000..d3c3743 --- /dev/null +++ b/ai-readiness-accelerator/src/components/assessment/QuestionCard.tsx @@ -0,0 +1,186 @@ +import React, { useState, useId } from 'react'; +import { HelpCircle, ChevronDown, ChevronUp, MessageSquare } from 'lucide-react'; +/** + * Question interface for the assessment + * Compatible with both types/index.ts and types/assessment.types.ts + */ +export interface Question { + id: string; + text: string; + helpText?: string; + category?: string; +} +import { LikertScale } from './LikertScale'; + +export interface QuestionResponse { + questionId: string; + value: 0 | 1 | 2 | 3 | 4 | 5; + notes?: string; +} + +export interface QuestionCardProps { + /** The question to display */ + question: Question; + /** Current response (if any) */ + response: QuestionResponse | undefined; + /** Callback when the response changes */ + onChange: (response: QuestionResponse) => void; + /** Question number for display */ + questionNumber?: number; +} + +/** + * QuestionCard displays an individual assessment question with a Likert scale + * and an optional collapsible notes section. + */ +export const QuestionCard: React.FC = ({ + question, + response, + onChange, + questionNumber, +}) => { + const [showNotes, setShowNotes] = useState(Boolean(response?.notes)); + const [showTooltip, setShowTooltip] = useState(false); + const tooltipId = useId(); + const notesId = useId(); + + const handleValueChange = (value: 0 | 1 | 2 | 3 | 4 | 5) => { + onChange({ + questionId: question.id, + value, + notes: response?.notes, + }); + }; + + const handleNotesChange = (e: React.ChangeEvent) => { + if (response) { + onChange({ + ...response, + notes: e.target.value || undefined, + }); + } else { + // If no response yet but user types notes, don't create response + // Notes can only be saved with a value + } + }; + + const toggleNotes = () => { + setShowNotes(!showNotes); + }; + + return ( +
+ {/* Question header */} +
+
+ {questionNumber && ( + + {questionNumber} + + )} +
+
+

+ {question.text} +

+ {question.helpText && ( +
+ + {showTooltip && ( + + )} +
+ {question.category && ( + + {question.category} + + )} +
+
+
+ + {/* Likert scale */} +
+ +
+ + {/* Notes toggle and textarea */} +
+ + + {showNotes && ( +
+ +