To filter discovered AI opportunities from Module 1 through a structured decision-making process. This ensures selected projects are feasible, valuable, and strategically aligned with the organization’s goals, avoiding wasted effort and aligning technical efforts with high-impact outcomes.
Evaluate opportunities on four weighted criteria:
- Data Availability (30%)
- Technical Complexity (25%)
- User Access for Testing (20%)
- Value Potential (25%)
Each is scored on a 1–10 scale, with weighted averages used for comparison and ranking.
From original framework draft + Perplexity FW1 + Gemini research
A structured guide to determine the right path:
- Build: High value + feasible with internal tools/skills + no strong existing solution
- Buy: High value + not feasible internally + good external options exist
- Wait: High potential but current constraints (technical/legal/data) suggest deferring
Adapted from Module 2 detailed guidance in Perplexity FW1 and Agentic Framework.txt
Quantify the potential business impact:
- Time Savings (hours saved/week or FTE impact)
- Revenue Impact (direct or indirect)
- Learning Value (team capability growth)
- Strategic Differentiation (market positioning)
Informed by Gemini ROI models and Google KPI evaluation strategies
A one-page summary template to evaluate:
- Feasibility score + value score
- Initial build-vs-buy recommendation
- Required inputs and missing components
- Stakeholder alignment level
- Risk notes (if early known)
Final output of Module 2 that flows into Module 3 validation work
Benchmarks based on project complexity:
| Project Type | Cost Estimate | Timeline | Team Size | Skill Level |
|---|---|---|---|---|
| Simple Agent | $5K–$50K | 1–2 months | 1–2 people | Basic scripting |
| Startup MVP | $50K–$150K | 2–4 months | 2–4 people | ML familiarity |
| Enterprise Solution | $400K–$1M+ | 6–12 months | 8–15 people | Full AI/ML team |
Based on Perplexity’s market research and real-world resource benchmarking
- Project Viability Score (composite of feasibility + value)
- Build-vs-Buy Accuracy (tracked against outcome)
- Selection to Prototype Conversion Rate (flows to Module 7)
- Stakeholder Confidence Score (qualitative or survey-based)
- Spreadsheet: Google Sheets/Excel templates for scoring and decision matrices
- Miro: Visual decision trees and project mapping
- Lucidchart: Architecture sketching for early-stage builds
- Integrated Input: Use outputs from Module 1 directly for project candidates
- Feasibility Scoring Worksheet
- Value Assessment Calculator
- Build-vs-Buy-vs-Wait Decision Matrix
- Project Viability Summary Template
- Cost/Timeline Estimation Guide
| Track | Flow | Outcome |
|---|---|---|
| Weekend Warrior | Fast feasibility + value score worksheet → project decision | One build-ready, low-friction idea |
| Startup | Full scorecard + ROI canvas + viability brief | 1–2 validated MVP candidates |
| Enterprise | Formal stakeholder alignment + resourcing benchmark + project brief | One selected project with business case buy-in |
- AWS Architecture Decision Trees
- AI ROI Calculator Template
- Google Cloud GenAI KPI Guide
- RAND Failure Prevention Report
- Input: Outputs from Module 1 (Opportunity Discovery shortlist, scores)
- Feeds into: Module 3 (Purpose & Opportunity Validation)