The Starkey Model puts the people closest to each initiative at the center of evaluation, scores against the value dimensions your board defines as strategic priorities, and concentrates your portfolio on the investments most likely to return results — with a documented rationale for every decision.
The Starkey Model evaluates every AI initiative across two dimensions: Organizational Value Potential and Implementation Feasibility. The difference: it gets the right people to the table for each dimension. A data architect’s feasibility assessment carries more weight than a business sponsor’s. A market strategist’s value score outweighs an engineer’s. The people closest to the work drive the scoring.
The output: a portfolio view where capital concentrates on your highest-conviction initiatives — with documented rationale, full scoring trail, and a board-ready investment narrative.
The logic: When you measure the criteria that matter most to your board’s strategic priorities, scored by the people closest to the work, capital concentrates on the initiatives most likely to deliver — fewer bets, higher conviction, faster time-to-value.
A $4B property & casualty insurer deployed the Starkey Model in its flagship commercial lines division — the business unit selected to prove governed AI portfolio management before enterprise-wide adoption. The framework replaced a steering committee model that had approved 23 concurrent initiatives with no documented selection criteria. After implementing governed scoring, the portfolio was reduced to 7 high-conviction initiatives with full evaluation rationale — and the first cycle produced a board-ready investment narrative in under two weeks.
All figures independently verified · Engagement-specific case studies available under NDA
Organizations typically engage consulting firms at $50,000–$250,000 to build AI prioritization frameworks from scratch. The Starkey Model delivers the same rigor — custom evaluation criteria, calibration protocols, implementation templates, and a documented governance trail — starting at $195.
| Included | Individual $195 |
Organization Recommended $495 |
Enterprise $895 |
|---|---|---|---|
| Complete scoring methodology + criteria framework | ✓ | ✓ | ✓ |
| 6 implementation templates | ✓ | ✓ | ✓ |
| Evaluator calibration protocol | ✓ | ✓ | ✓ |
| Chapter 6: The Intelligence Organization | ✓ | ✓ | ✓ |
| Single-user license | ✓ | — | — |
| Organizational license (unlimited internal use) | — | ✓ | ✓ |
| 60-minute implementation call | — | ✓ | ✓ |
| Organization-specific model calibration | — | ✓ | ✓ |
| Post-deployment scoring review | — | — | ✓ |
| Follow-up calibration call | — | — | ✓ |
Complete framework and templates. Single-user license. For independents, consultants, and researchers.
PurchaseEverything in Individual plus organizational license and a 60-minute call to calibrate the model to your context.
Purchase — RecommendedEverything in Organization plus post-deployment scoring review and follow-up calibration. For companies over $1B revenue.
PurchaseAll tiers include the complete methodology and all templates. Individual tier is single-user; Organization and Enterprise include unlimited internal use. Higher tiers add direct implementation support. One-year license.
Build an AI portfolio that compounds.
Governed prioritization means every initiative in your portfolio has a documented rationale for why it was selected — and why the alternatives were not.