# AI Readiness Roadmap - Strategic Document

**Version:** 1.0
**Date:** ___________________________
**Organization:** ___________________________
**Prepared By:** ___________________________
**Assessment Period:** ___________________________

---

## Executive Certification

| Role | Name | Signature | Date | Approved |
|------|------|-----------|------|----------|
| Chief Executive Officer | _____________________ | _____________________ | ___/___/______ | Yes / No |
| Chief Technology Officer | _____________________ | _____________________ | ___/___/______ | Yes / No |
| Chief Financial Officer | _____________________ | _____________________ | ___/___/______ | Yes / No |
| Chief Data Officer | _____________________ | _____________________ | ___/___/______ | Yes / No |
| AI Program Executive Sponsor | _____________________ | _____________________ | ___/___/______ | Yes / No |

---

# Page 1: Cover Page

## AI Readiness Roadmap

### Strategic Implementation Plan

**Prepared for:** _____________________________

**Confidentiality:** _____________________________

**Document Control:**

| Version | Date | Author | Changes |
|---------|------|--------|---------|
| 1.0 | ___/___/______ | _____________________ | Initial version |
| ___ | ___/___/______ | _____________________ | _____________________ |
| ___ | ___/___/______ | _____________________ | _____________________ |

---

# Pages 2-3: Executive Summary

## At-a-Glance AI Readiness Assessment

### Overall Readiness Score

| Dimension | Score (1-5) | Industry Benchmark | Gap | Priority |
|-----------|-------------|-------------------|-----|----------|
| **Data Readiness** | ___/5 | ___/5 | ___ | High / Medium / Low |
| **Technical Infrastructure** | ___/5 | ___/5 | ___ | High / Medium / Low |
| **Talent & Skills** | ___/5 | ___/5 | ___ | High / Medium / Low |
| **Governance & Ethics** | ___/5 | ___/5 | ___ | High / Medium / Low |
| **Strategic Alignment** | ___/5 | ___/5 | ___ | High / Medium / Low |
| **Overall AI Readiness Score** | **___/5** | **___/5** | **___** | |

### Readiness Level Classification

| Score Range | Level | Description |
|-------------|-------|-------------|
| 1.0 - 1.9 | Nascent | Beginning AI exploration, minimal capabilities |
| 2.0 - 2.9 | Emerging | Early pilots, building foundational capabilities |
| 3.0 - 3.9 | Developing | Established programs, scaling select use cases |
| 4.0 - 4.5 | Advanced | Mature AI operations, measurable business impact |
| 4.6 - 5.0 | Transformative | AI-native organization, industry leadership |

**Current Classification:** _____________________________

---

## Top 3 Strategic Priorities

| Priority | Initiative | Expected Impact | Investment | Timeline |
|----------|------------|-----------------|------------|----------|
| **1** | _____________________________ | $_____ / ____% | $_____ | ___ months |
| **2** | _____________________________ | $_____ / ____% | $_____ | ___ months |
| **3** | _____________________________ | $_____ / ____% | $_____ | ___ months |

---

## Investment vs. Return Summary

### 3-Year Investment Projection

| Year | Investment | Projected Return | Net Value | Cumulative ROI |
|------|------------|------------------|-----------|----------------|
| Year 1 | $____________ | $____________ | $____________ | ____% |
| Year 2 | $____________ | $____________ | $____________ | ____% |
| Year 3 | $____________ | $____________ | $____________ | ____% |
| **Total** | **$____________** | **$____________** | **$____________** | **____%** |

### Key Investment Categories

| Category | Year 1 | Year 2 | Year 3 | Total |
|----------|--------|--------|--------|-------|
| Platform & Technology | $_______ | $_______ | $_______ | $_______ |
| Talent & Training | $_______ | $_______ | $_______ | $_______ |
| Data Infrastructure | $_______ | $_______ | $_______ | $_______ |
| Consulting & Services | $_______ | $_______ | $_______ | $_______ |
| Governance & Compliance | $_______ | $_______ | $_______ | $_______ |
| **Total** | **$_______** | **$_______** | **$_______** | **$_______** |

---

## Executive Decision Required

| Decision Point | Options | Recommendation | By Date |
|----------------|---------|----------------|---------|
| Investment Approval | Approve / Defer / Modify | _____________ | ___/___/______ |
| Priority Selection | Option A / B / C | _____________ | ___/___/______ |
| Build vs. Buy Strategy | Build / Buy / Hybrid | _____________ | ___/___/______ |
| Governance Model | Centralized / Federated / Hybrid | _____________ | ___/___/______ |

---

# Pages 4-6: Where AI Creates ROI

## Revenue Enhancement Opportunities

### Opportunity Assessment Matrix

| Opportunity | Current State | AI-Enabled State | ROI Range | Confidence | Priority |
|-------------|---------------|------------------|-----------|------------|----------|
| Customer Experience Personalization | _____________________ | _____________________ | 150-250% | High / Medium / Low | ___ |
| Sales Process Optimization | _____________________ | _____________________ | 120-200% | High / Medium / Low | ___ |
| Pricing Optimization | _____________________ | _____________________ | 80-150% | High / Medium / Low | ___ |
| Product Recommendations | _____________________ | _____________________ | 100-180% | High / Medium / Low | ___ |
| Lead Scoring & Qualification | _____________________ | _____________________ | 90-160% | High / Medium / Low | ___ |
| Customer Churn Prevention | _____________________ | _____________________ | 120-220% | High / Medium / Low | ___ |
| Cross-sell/Upsell Automation | _____________________ | _____________________ | 80-140% | High / Medium / Low | ___ |
| Market Intelligence & Insights | _____________________ | _____________________ | 70-130% | High / Medium / Low | ___ |

### Revenue Impact Calculation

| Opportunity | Annual Revenue Impact | Implementation Cost | Net 3-Year Value | Score |
|-------------|----------------------|---------------------|------------------|-------|
| _____________________ | $____________ | $____________ | $____________ | ___/100 |
| _____________________ | $____________ | $____________ | $____________ | ___/100 |
| _____________________ | $____________ | $____________ | $____________ | ___/100 |
| _____________________ | $____________ | $____________ | $____________ | ___/100 |
| _____________________ | $____________ | $____________ | $____________ | ___/100 |

---

## Cost Reduction Opportunities

### Operations & Automation Candidates

| Process Area | Current Cost | Automation Potential | Savings Range | Complexity | Priority |
|--------------|--------------|---------------------|---------------|------------|----------|
| Document Processing | $_______ / year | ____% | 40-70% | High / Medium / Low | ___ |
| Customer Service | $_______ / year | ____% | 30-60% | High / Medium / Low | ___ |
| Data Entry & Validation | $_______ / year | ____% | 50-80% | High / Medium / Low | ___ |
| Report Generation | $_______ / year | ____% | 40-70% | High / Medium / Low | ___ |
| Quality Assurance | $_______ / year | ____% | 25-50% | High / Medium / Low | ___ |
| Scheduling & Coordination | $_______ / year | ____% | 30-55% | High / Medium / Low | ___ |
| Procurement Processing | $_______ / year | ____% | 35-60% | High / Medium / Low | ___ |
| IT Operations | $_______ / year | ____% | 25-45% | High / Medium / Low | ___ |

### Cost Savings Projection

| Year | Gross Savings | Implementation Cost | Net Savings | FTE Equivalent |
|------|---------------|---------------------|-------------|----------------|
| Year 1 | $____________ | $____________ | $____________ | _____ |
| Year 2 | $____________ | $____________ | $____________ | _____ |
| Year 3 | $____________ | $____________ | $____________ | _____ |
| **Total** | **$____________** | **$____________** | **$____________** | **_____** |

---

## Risk Mitigation Value

### Compliance & Error Reduction

| Risk Category | Current Exposure | AI Mitigation | Value Protected | Confidence |
|---------------|------------------|---------------|-----------------|------------|
| Regulatory Penalties | $_______ / year | ___% reduction | $____________ | High / Medium / Low |
| Fraud & Security | $_______ / year | ___% reduction | $____________ | High / Medium / Low |
| Operational Errors | $_______ / year | ___% reduction | $____________ | High / Medium / Low |
| Compliance Gaps | $_______ / year | ___% reduction | $____________ | High / Medium / Low |
| Reputation Damage | $_______ / year | ___% reduction | $____________ | High / Medium / Low |
| **Total Risk Mitigation Value** | **$_______** | | **$____________** | |

---

## Prioritized Opportunity Stack

### Top 5 Opportunities - Weighted Score Analysis

**Scoring Criteria:**

| Criterion | Weight | Description |
|-----------|--------|-------------|
| Strategic Alignment | 25% | Alignment with business objectives |
| Financial Impact | 30% | ROI potential and payback period |
| Feasibility | 20% | Technical and organizational readiness |
| Time to Value | 15% | Speed to measurable results |
| Risk Profile | 10% | Implementation and operational risks |

### Opportunity Ranking

| Rank | Opportunity | Strategic (25%) | Financial (30%) | Feasibility (20%) | Time (15%) | Risk (10%) | **Weighted Score** |
|------|-------------|-----------------|-----------------|-------------------|------------|------------|-------------------|
| 1 | _____________________ | ___/5 | ___/5 | ___/5 | ___/5 | ___/5 | **___/5.00** |
| 2 | _____________________ | ___/5 | ___/5 | ___/5 | ___/5 | ___/5 | **___/5.00** |
| 3 | _____________________ | ___/5 | ___/5 | ___/5 | ___/5 | ___/5 | **___/5.00** |
| 4 | _____________________ | ___/5 | ___/5 | ___/5 | ___/5 | ___/5 | **___/5.00** |
| 5 | _____________________ | ___/5 | ___/5 | ___/5 | ___/5 | ___/5 | **___/5.00** |

### Opportunity Summary

| Opportunity | Investment | Annual Return | Payback | Recommended Action |
|-------------|------------|---------------|---------|-------------------|
| _____________________ | $_______ | $_______ | ___ months | Proceed / Pilot / Defer |
| _____________________ | $_______ | $_______ | ___ months | Proceed / Pilot / Defer |
| _____________________ | $_______ | $_______ | ___ months | Proceed / Pilot / Defer |
| _____________________ | $_______ | $_______ | ___ months | Proceed / Pilot / Defer |
| _____________________ | $_______ | $_______ | ___ months | Proceed / Pilot / Defer |

---

# Pages 7-9: Build vs. Buy vs. Ignore Framework

## Decision Framework Overview

### Framework Criteria

| Factor | BUILD Indicator | BUY Indicator | IGNORE Indicator |
|--------|-----------------|---------------|------------------|
| **Differentiation** | Core to competitive advantage | Commodity capability | No strategic value |
| **Data Advantage** | Proprietary data creates moat | Standard data requirements | No data leverage |
| **Capability Gap** | Internal expertise exists | Significant expertise gap | N/A |
| **Time Sensitivity** | Can wait for custom build | Urgent need | Low priority |
| **Vendor Maturity** | No suitable vendors | Mature vendor landscape | N/A |
| **Integration Complexity** | Deep integration required | Standard integrations | N/A |
| **Total Cost** | Lower TCO over 3+ years | Lower TCO short-term | Negative ROI |

---

## BUILD Score Card

### Differentiation Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| Creates unique competitive advantage | ___/5 | _____________________ |
| Core to business model | ___/5 | _____________________ |
| Difficult for competitors to replicate | ___/5 | _____________________ |
| Customer-facing differentiator | ___/5 | _____________________ |
| **Differentiation Score** | **___/5** | |

### Data Advantage Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| Proprietary data assets available | ___/5 | _____________________ |
| Data creates defensible moat | ___/5 | _____________________ |
| Unique data relationships | ___/5 | _____________________ |
| Data quality for AI training | ___/5 | _____________________ |
| **Data Advantage Score** | **___/5** | |

### Internal Capability Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| ML/AI engineering talent | ___/5 | _____________________ |
| MLOps/Platform capabilities | ___/5 | _____________________ |
| Domain expertise | ___/5 | _____________________ |
| Track record of delivery | ___/5 | _____________________ |
| **Capability Score** | **___/5** | |

### BUILD Total Score

| Dimension | Weight | Score | Weighted |
|-----------|--------|-------|----------|
| Differentiation | 40% | ___/5 | _____ |
| Data Advantage | 35% | ___/5 | _____ |
| Capability | 25% | ___/5 | _____ |
| **BUILD Score** | 100% | | **___/5.00** |

**BUILD Threshold:** >= 3.5 = Strong BUILD candidate

---

## BUY Score Card

### Vendor Maturity Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| Multiple mature vendors available | ___/5 | _____________________ |
| Proven enterprise deployments | ___/5 | _____________________ |
| Vendor financial stability | ___/5 | _____________________ |
| Industry-specific solutions | ___/5 | _____________________ |
| **Vendor Maturity Score** | **___/5** | |

### Speed to Market Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| Urgent business need | ___/5 | _____________________ |
| Competitive pressure | ___/5 | _____________________ |
| Implementation timeline acceptable | ___/5 | _____________________ |
| Quick wins available | ___/5 | _____________________ |
| **Speed Score** | **___/5** | |

### Expertise Gap Assessment

| Factor | Score (1-5) | Evidence / Rationale |
|--------|-------------|---------------------|
| Significant internal skill gaps | ___/5 | _____________________ |
| Hiring timeline problematic | ___/5 | _____________________ |
| Specialized domain knowledge needed | ___/5 | _____________________ |
| Vendor expertise advantage | ___/5 | _____________________ |
| **Expertise Gap Score** | **___/5** | |

### BUY Total Score

| Dimension | Weight | Score | Weighted |
|-----------|--------|-------|----------|
| Vendor Maturity | 35% | ___/5 | _____ |
| Speed to Market | 35% | ___/5 | _____ |
| Expertise Gap | 30% | ___/5 | _____ |
| **BUY Score** | 100% | | **___/5.00** |

**BUY Threshold:** >= 3.5 = Strong BUY candidate

---

## IGNORE Criteria & Reassessment Triggers

### IGNORE Criteria

| Criterion | Assessment | Notes |
|-----------|------------|-------|
| Negative or marginal ROI (< 20%) | Yes / No | _____________________ |
| No strategic alignment | Yes / No | _____________________ |
| Technology not mature enough | Yes / No | _____________________ |
| Organizational readiness too low | Yes / No | _____________________ |
| Regulatory barriers prohibitive | Yes / No | _____________________ |
| Resource conflicts with higher priorities | Yes / No | _____________________ |

**IGNORE if 3+ criteria = Yes**

### Reassessment Triggers

| Trigger | Current Status | Reassess When | Check Date |
|---------|----------------|---------------|------------|
| ROI improves significantly | _____________________ | _____________________ | ___/___/______ |
| Technology matures | _____________________ | _____________________ | ___/___/______ |
| Competitive landscape changes | _____________________ | _____________________ | ___/___/______ |
| Regulatory environment shifts | _____________________ | _____________________ | ___/___/______ |
| Internal capabilities develop | _____________________ | _____________________ | ___/___/______ |

---

## Build vs. Buy Decision Matrix

### All Opportunities Assessment

| Opportunity | BUILD Score | BUY Score | IGNORE Criteria | **Decision** | Rationale |
|-------------|-------------|-----------|-----------------|--------------|-----------|
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |
| _____________________ | ___/5 | ___/5 | ___ of 6 | BUILD / BUY / IGNORE | _____________________ |

### Decision Summary

| Decision | Count | Total Investment | Primary Rationale |
|----------|-------|------------------|-------------------|
| **BUILD** | _____ | $____________ | _____________________ |
| **BUY** | _____ | $____________ | _____________________ |
| **IGNORE** | _____ | N/A | _____________________ |

---

# Pages 10-12: 90-Day Implementation Priority Stack

## Days 1-30: Foundation Sprint

### Week 1: Assessment & Alignment

| Day | Activity | Owner | Deliverable | Status |
|-----|----------|-------|-------------|--------|
| 1-2 | Executive kickoff and alignment session | _____________________ | Signed charter | Not Started / In Progress / Complete |
| 3-4 | Stakeholder identification and mapping | _____________________ | Stakeholder matrix | Not Started / In Progress / Complete |
| 5 | Current state assessment review | _____________________ | Assessment report | Not Started / In Progress / Complete |

### Week 2: Data Foundation

| Day | Activity | Owner | Deliverable | Status |
|-----|----------|-------|-------------|--------|
| 6-7 | Data inventory and quality assessment | _____________________ | Data catalog | Not Started / In Progress / Complete |
| 8-9 | Data access and security review | _____________________ | Access matrix | Not Started / In Progress / Complete |
| 10 | Data governance gap analysis | _____________________ | Gap report | Not Started / In Progress / Complete |

### Week 3: Technical Readiness

| Day | Activity | Owner | Deliverable | Status |
|-----|----------|-------|-------------|--------|
| 11-12 | Infrastructure assessment | _____________________ | Infrastructure report | Not Started / In Progress / Complete |
| 13-14 | Security and compliance review | _____________________ | Compliance checklist | Not Started / In Progress / Complete |
| 15 | Vendor landscape analysis | _____________________ | Vendor shortlist | Not Started / In Progress / Complete |

### Week 4: Team Formation

| Day | Activity | Owner | Deliverable | Status |
|-----|----------|-------|-------------|--------|
| 16-17 | Core team identification and onboarding | _____________________ | Team roster | Not Started / In Progress / Complete |
| 18-19 | Skills gap assessment | _____________________ | Skills matrix | Not Started / In Progress / Complete |
| 20 | Training plan development | _____________________ | Training roadmap | Not Started / In Progress / Complete |

### Foundation Sprint Checkpoint (Day 30)

| Deliverable | Status | Owner Sign-off | Date |
|-------------|--------|----------------|------|
| Executive alignment achieved | Complete / Incomplete | _____________________ | ___/___/______ |
| Data readiness assessed | Complete / Incomplete | _____________________ | ___/___/______ |
| Technical infrastructure evaluated | Complete / Incomplete | _____________________ | ___/___/______ |
| Core team assembled | Complete / Incomplete | _____________________ | ___/___/______ |
| Pilot use case selected | Complete / Incomplete | _____________________ | ___/___/______ |
| **GO / NO-GO Decision** | _____________________ | _____________________ | ___/___/______ |

---

## Days 31-60: Activation Phase

### Pilot Deployment Plan

| Week | Focus Area | Key Activities | Deliverables |
|------|------------|----------------|--------------|
| Week 5 | Pilot Setup | Environment provisioning, data pipeline setup | Dev environment ready |
| Week 6 | Model Development/Integration | Build or integrate selected AI solution | Working prototype |
| Week 7 | Testing & Validation | Functional testing, bias testing, security testing | Test results |
| Week 8 | User Acceptance | UAT with target users, feedback collection | UAT sign-off |

### Pilot Scope Definition

| Element | Specification |
|---------|---------------|
| **Use Case** | _____________________ |
| **Target Users** | _____________________ |
| **Data Sources** | _____________________ |
| **Success Metrics** | _____________________ |
| **Risk Mitigations** | _____________________ |
| **Rollback Plan** | _____________________ |

### Activation Phase Weekly Tracking

| Week | Milestone | Target Date | Actual Date | Status | Blockers |
|------|-----------|-------------|-------------|--------|----------|
| 5 | Environment ready | ___/___/______ | ___/___/______ | On Track / At Risk / Blocked | _____________________ |
| 6 | Prototype complete | ___/___/______ | ___/___/______ | On Track / At Risk / Blocked | _____________________ |
| 7 | Testing complete | ___/___/______ | ___/___/______ | On Track / At Risk / Blocked | _____________________ |
| 8 | UAT approved | ___/___/______ | ___/___/______ | On Track / At Risk / Blocked | _____________________ |

### Activation Checkpoint (Day 60)

| Deliverable | Status | Owner Sign-off | Date |
|-------------|--------|----------------|------|
| Pilot environment operational | Complete / Incomplete | _____________________ | ___/___/______ |
| AI solution deployed | Complete / Incomplete | _____________________ | ___/___/______ |
| User acceptance testing passed | Complete / Incomplete | _____________________ | ___/___/______ |
| Initial metrics collected | Complete / Incomplete | _____________________ | ___/___/______ |
| **Scale Decision** | Scale / Iterate / Pivot / Stop | _____________________ | ___/___/______ |

---

## Days 61-90: Momentum Phase

### Scale Decisions

| Decision Area | Options | Selected | Rationale |
|---------------|---------|----------|-----------|
| User Expansion | Limited / Phased / Full | _____________________ | _____________________ |
| Feature Scope | Core only / Extended | _____________________ | _____________________ |
| Data Coverage | Pilot data / Production data | _____________________ | _____________________ |
| Geography | Single location / Multi-region | _____________________ | _____________________ |

### ROI Measurement

| Metric | Baseline | Day 60 | Day 90 Target | Day 90 Actual | Variance |
|--------|----------|--------|---------------|---------------|----------|
| _____________________ | _____ | _____ | _____ | _____ | ____% |
| _____________________ | _____ | _____ | _____ | _____ | ____% |
| _____________________ | _____ | _____ | _____ | _____ | ____% |
| _____________________ | _____ | _____ | _____ | _____ | ____% |

### Momentum Phase Activities

| Week | Focus Area | Key Activities | Deliverables |
|------|------------|----------------|--------------|
| Week 9 | Production Deployment | Go-live preparation, monitoring setup | Production deployment |
| Week 10 | User Adoption | Training rollout, change management | Adoption metrics |
| Week 11 | Optimization | Performance tuning, feedback integration | Optimized solution |
| Week 12 | Planning | Next phase planning, roadmap update | Updated roadmap |

### 90-Day Milestone Checkpoints

| Milestone | Target | Actual | Status | Sign-off |
|-----------|--------|--------|--------|----------|
| Pilot ROI demonstrated | $_______ | $_______ | Met / Not Met | _____________________ |
| User adoption rate | ____% | ____% | Met / Not Met | _____________________ |
| Technical performance SLA | ____% uptime | ____% | Met / Not Met | _____________________ |
| Error/Incident rate | < ___/month | ___/month | Met / Not Met | _____________________ |
| User satisfaction score | > ___/5 | ___/5 | Met / Not Met | _____________________ |

### 90-Day Executive Summary

| Area | Assessment | Next Steps |
|------|------------|------------|
| Overall Progress | On Track / Behind / Ahead | _____________________ |
| Budget Status | On Budget / Over / Under | _____________________ |
| Risk Status | Low / Medium / High | _____________________ |
| ROI Trajectory | Above / At / Below Target | _____________________ |
| **Recommendation** | Scale / Iterate / Pivot / Pause | _____________________ |

**Executive Sign-off:**

| Role | Name | Signature | Date |
|------|------|-----------|------|
| AI Program Sponsor | _____________________ | _____________________ | ___/___/______ |
| Business Owner | _____________________ | _____________________ | ___/___/______ |
| Technical Lead | _____________________ | _____________________ | ___/___/______ |

---

# Pages 13-14: Vendor/Tool Recommendations

## Vendor Landscape by Category

### Large Language Model (LLM) Providers

| Vendor | Product | Strengths | Considerations | Fit Score |
|--------|---------|-----------|----------------|-----------|
| OpenAI | GPT-4, GPT-4o | State-of-art, wide adoption | Data privacy, API dependency | ___/5 |
| Anthropic | Claude 3.5 | Safety-focused, long context | Newer ecosystem | ___/5 |
| Google | Gemini | Multimodal, Google integration | Complex pricing | ___/5 |
| Meta | Llama 3 | Open source, customizable | Self-hosting required | ___/5 |
| Amazon | Bedrock | AWS integration, choice of models | AWS lock-in | ___/5 |
| Microsoft | Azure OpenAI | Enterprise ready, compliance | Microsoft ecosystem | ___/5 |

### AI Platform Providers

| Vendor | Product | Strengths | Considerations | Fit Score |
|--------|---------|-----------|----------------|-----------|
| AWS | SageMaker | Comprehensive ML platform | Complexity | ___/5 |
| Google Cloud | Vertex AI | Strong MLOps, AutoML | GCP lock-in | ___/5 |
| Microsoft Azure | Azure AI | Enterprise features, security | Microsoft ecosystem | ___/5 |
| Databricks | Unity Catalog | Data lakehouse, collaboration | Databricks investment | ___/5 |
| Snowflake | Cortex AI | Data warehouse native AI | Snowflake-centric | ___/5 |

### Industry-Specific Solutions

| Category | Vendors | Key Capabilities |
|----------|---------|------------------|
| Healthcare | _____________________ | _____________________ |
| Financial Services | _____________________ | _____________________ |
| Manufacturing | _____________________ | _____________________ |
| Retail | _____________________ | _____________________ |
| Technology | _____________________ | _____________________ |

---

## Vendor Evaluation Scorecard

### Evaluation Criteria

| Category | Weight | Criteria |
|----------|--------|----------|
| **Technical Fit** | 30% | Model quality, API/SDK, integration, performance |
| **Security & Compliance** | 25% | Data handling, certifications, privacy, audit |
| **Business Terms** | 25% | Pricing, contract, support, roadmap |
| **Operational** | 20% | Reliability, documentation, training, community |

### Vendor Comparison Matrix

| Criterion | Weight | Vendor A: _____ | Vendor B: _____ | Vendor C: _____ |
|-----------|--------|-----------------|-----------------|-----------------|
| **Technical Fit** | 30% | | | |
| Model quality and accuracy | 10% | ___/5 | ___/5 | ___/5 |
| API/SDK quality | 8% | ___/5 | ___/5 | ___/5 |
| Integration capabilities | 7% | ___/5 | ___/5 | ___/5 |
| Performance and latency | 5% | ___/5 | ___/5 | ___/5 |
| **Security & Compliance** | 25% | | | |
| Data handling and privacy | 10% | ___/5 | ___/5 | ___/5 |
| Industry certifications | 8% | ___/5 | ___/5 | ___/5 |
| Audit and logging | 7% | ___/5 | ___/5 | ___/5 |
| **Business Terms** | 25% | | | |
| Pricing competitiveness | 10% | ___/5 | ___/5 | ___/5 |
| Contract flexibility | 8% | ___/5 | ___/5 | ___/5 |
| Support quality | 7% | ___/5 | ___/5 | ___/5 |
| **Operational** | 20% | | | |
| Reliability (SLA) | 8% | ___/5 | ___/5 | ___/5 |
| Documentation quality | 6% | ___/5 | ___/5 | ___/5 |
| Training resources | 6% | ___/5 | ___/5 | ___/5 |
| **TOTAL WEIGHTED SCORE** | 100% | **___/5** | **___/5** | **___/5** |

---

## Due Diligence Checklist

### Security & Privacy

| Item | Vendor A | Vendor B | Vendor C |
|------|----------|----------|----------|
| SOC 2 Type II certification | Yes / No / In Progress | Yes / No / In Progress | Yes / No / In Progress |
| ISO 27001 certification | Yes / No / In Progress | Yes / No / In Progress | Yes / No / In Progress |
| GDPR compliance | Yes / No / In Progress | Yes / No / In Progress | Yes / No / In Progress |
| Data residency options | _____________________ | _____________________ | _____________________ |
| Encryption (transit/rest) | _____________________ | _____________________ | _____________________ |
| Access controls (RBAC) | Yes / No / Partial | Yes / No / Partial | Yes / No / Partial |
| Audit logging | Yes / No / Partial | Yes / No / Partial | Yes / No / Partial |
| Penetration testing | Annual / Continuous / None | Annual / Continuous / None | Annual / Continuous / None |

### Technical Due Diligence

| Item | Vendor A | Vendor B | Vendor C |
|------|----------|----------|----------|
| API rate limits | _____________________ | _____________________ | _____________________ |
| SLA (uptime guarantee) | _____________________ | _____________________ | _____________________ |
| Disaster recovery | _____________________ | _____________________ | _____________________ |
| Model versioning | Yes / No / Partial | Yes / No / Partial | Yes / No / Partial |
| Fine-tuning options | Yes / No / Partial | Yes / No / Partial | Yes / No / Partial |
| Self-hosting available | Yes / No | Yes / No | Yes / No |

### Commercial Due Diligence

| Item | Vendor A | Vendor B | Vendor C |
|------|----------|----------|----------|
| Company founded | _____________________ | _____________________ | _____________________ |
| Funding/financials | _____________________ | _____________________ | _____________________ |
| Reference customers | _____________________ | _____________________ | _____________________ |
| Contract minimum term | _____________________ | _____________________ | _____________________ |
| Termination clause | _____________________ | _____________________ | _____________________ |
| Data portability | Yes / No / Partial | Yes / No / Partial | Yes / No / Partial |

---

## Vendor Selection Summary

| Category | Recommended Vendor | Alternative | Rationale |
|----------|-------------------|-------------|-----------|
| LLM Provider | _____________________ | _____________________ | _____________________ |
| AI Platform | _____________________ | _____________________ | _____________________ |
| Vector Database | _____________________ | _____________________ | _____________________ |
| MLOps Platform | _____________________ | _____________________ | _____________________ |
| Industry Solution | _____________________ | _____________________ | _____________________ |

---

# Page 15: Risk Assessment & Governance

## Risk Matrix

### Risk Categories

| Category | Description | Example Risks |
|----------|-------------|---------------|
| **Technology** | Technical failures, performance issues | Model degradation, API outages, integration failures |
| **Data** | Data quality, privacy, security | Data breaches, bias in training data, quality issues |
| **Operational** | Process failures, human errors | Workflow disruption, incorrect outputs, user errors |
| **Regulatory** | Compliance and legal risks | Regulatory violations, legal challenges, licensing |
| **Reputational** | Brand and trust impacts | Harmful outputs, public relations issues |

### Risk Assessment Matrix

| Risk | Category | Likelihood (1-5) | Impact (1-5) | Score | Tier | Mitigation Status |
|------|----------|------------------|--------------|-------|------|-------------------|
| _____________________ | Technology | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Technology | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Data | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Data | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Operational | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Operational | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Regulatory | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Regulatory | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Reputational | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |
| _____________________ | Reputational | ___/5 | ___/5 | ___/25 | Critical / High / Medium / Low | Not Started / In Progress / Mitigated |

### Risk Tier Classification

| Tier | Score Range | Response Required | Review Frequency |
|------|-------------|-------------------|------------------|
| Critical | 20-25 | Immediate executive action | Weekly |
| High | 15-19 | Active mitigation plan | Bi-weekly |
| Medium | 8-14 | Monitor and plan | Monthly |
| Low | 1-7 | Accept or monitor | Quarterly |

---

## Governance Structure

### AI Governance Organization

| Role | Responsibilities | Name | Department |
|------|------------------|------|------------|
| **AI Executive Sponsor** | Strategic direction, budget authority, escalation | _____________________ | _____________________ |
| **AI Program Lead** | Day-to-day program management, cross-functional coordination | _____________________ | _____________________ |
| **Chief Data Officer** | Data strategy, quality, governance | _____________________ | _____________________ |
| **Security Lead** | Security requirements, risk assessment | _____________________ | _____________________ |
| **Legal/Compliance Lead** | Regulatory compliance, contracts, IP | _____________________ | _____________________ |
| **Ethics Lead** | Responsible AI, bias monitoring | _____________________ | _____________________ |
| **Business Owners** | Use case definition, ROI accountability | _____________________ | _____________________ |

### Governance Bodies

| Body | Purpose | Members | Frequency |
|------|---------|---------|-----------|
| **AI Steering Committee** | Strategic oversight, major decisions | C-suite, AI Program Lead | Monthly |
| **AI Review Board** | Use case approval, risk assessment | Cross-functional leads | Bi-weekly |
| **AI Ethics Committee** | Responsible AI review, bias assessment | Ethics, Legal, Technical | As needed |
| **Technical Architecture Review** | Technical standards, vendor selection | Technical leads | Weekly |

---

## Policy Essentials Checklist

### Required Policies

| Policy | Status | Owner | Last Updated | Next Review |
|--------|--------|-------|--------------|-------------|
| AI Acceptable Use Policy | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| Data Governance for AI | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| Model Development Standards | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| AI Vendor Management Policy | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| AI Risk Management Framework | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| Responsible AI Principles | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| AI Incident Response Plan | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |
| Human Oversight Requirements | Draft / Approved / N/A | _____________________ | ___/___/______ | ___/___/______ |

### Compliance Requirements

| Regulation | Applicability | Compliance Status | Gap Assessment | Remediation Plan |
|------------|---------------|-------------------|----------------|------------------|
| GDPR | Yes / No / Partial | Compliant / Gap Identified / N/A | _____________________ | _____________________ |
| CCPA | Yes / No / Partial | Compliant / Gap Identified / N/A | _____________________ | _____________________ |
| EU AI Act | Yes / No / Partial | Compliant / Gap Identified / N/A | _____________________ | _____________________ |
| Industry-specific | Yes / No / Partial | Compliant / Gap Identified / N/A | _____________________ | _____________________ |

---

## Next Actions

### Immediate (This Week)

| Action | Owner | Due Date | Status |
|--------|-------|----------|--------|
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |

### Short-term (30 Days)

| Action | Owner | Due Date | Status |
|--------|-------|----------|--------|
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |

### Medium-term (90 Days)

| Action | Owner | Due Date | Status |
|--------|-------|----------|--------|
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |
| _____________________ | _____________________ | ___/___/______ | Not Started |

---

## Document Information

**GenAI Maturity Portal:** https://genaimaturity.net
**Assessment Tools:** https://genaimaturity.net/assessment
**Implementation Resources:** https://genaimaturity.net/implementation

---

_This 15-page strategic document provides a comprehensive framework for AI readiness assessment and implementation planning. Use in conjunction with industry-specific supplements for tailored guidance._

**Document Version:** 1.0
**Last Updated:** ___________________________
**Next Review Date:** ___________________________