AI Value Realization
Can we prove what AI is worth to the business?
Most AI programs fund pilots, not outcomes. Without an explicit value model, the board sees cost and activity, never impact.
Maturity
1Exploring
Use cases justified one by one. Benefits assumed.
2EstablishingExample
Business cases exist. Few are tracked after go-live.
3Scaling
A portfolio value model with owners and baselines.
4Compounding
Value reported in P&L terms. Funding follows proven returns.
Key decisions
- Portfolio or project fundingStrategic focus versus speed of approval
- Who owns the benefitIT delivers, the business signs the number
- Productivity or growth casesEasier to measure versus bigger to win
Anti-patterns
- Counting licenses or active users as value
- Hours saved that never leave the budget
- Pilots launched without a baseline
Measure progress
- Share of AI spend tied to a signed business outcome
- Realized versus committed value per use case
- Time from idea to measured value
Builds on
- A portfolio value model needs trusted baseline data.AI-Ready Data Estate at Establishing, needed for Scaling
- Someone has to own benefits across the portfolio.Organization, Skills & Operating Model at Establishing, needed for Scaling
- P&L-level value shows up once processes change.AI in the Process at Scaling, needed for Compounding
Enables
- Redesign at scale is funded by proven value.Needed for AI in the Process at Compounding
- Domains take ownership when business cases give them a reason.Needed for Organization, Skills & Operating Model at Scaling
- Incentives can reward value only once value is measured.Needed for Organization, Skills & Operating Model at Compounding
Plays
Microsoft-specific guidance, as of September 2026.
Ratings are illustrative and pending author review.
Capabilities
| Capability | Role in this pillar | Rating |
|---|---|---|
| Microsoft Copilot Analytics | Adoption and impact reporting for Copilot and agents | Trial |
| Microsoft Foundry evaluations and observability | Quality, cost and usage per agent | Trial |
| Microsoft Cost Management | Cloud and AI spend by workload | Adopt |
Adopt
Proven. Use it by default for this purpose.
Trial
Production-ready. Use it with a clear scope.
Assess
Promising. Explore with a small team.
Hold
Not recommended for new work.
Known gaps
The tooling measures usage and cost. Business value still has to be modeled, and signed off, by the business.