BlueprintPage 56
56EXPERIENCE
Executive Analytics & Board Reporting
AI adoption is growing; controlled adoption is growing faster.
- Priority
- P1
- Phase
- Phase 2
- Primary owner
- Product / Analytics
- Status
- Blueprint
Objective
Executives need a small number of meaningful measures: how many agents exist, how much authority they have, whether governance coverage is improving, what incidents occurred and how much the AI workforce costs. Avoid technical alert noise in executive views.
What to build
- AI workforce inventory trend by business unit and risk tier.
- Percent verified, owned, policy-covered and recertified.
- High-risk actions blocked/approved and incident trend.
- Top risk concentrations: business unit, tool, data class, provider.
- AI spend and savings opportunity by business unit.
Implementation decisions
- Define metric semantics so board reports are comparable month to month.
- Allow drill-down from executive aggregate to supporting evidence.
- Show inherent vs. residual risk rather than claiming a universal “safe” score.
- Generate recurring PDF/export packs.
Definition of done
- Board report can be generated consistently from platform data.
- Every KPI has a clear denominator and scope.
- Executive dashboard avoids exposing unnecessary sensitive prompt content.
Success metrics
- Governance coverage
- Residual-risk trend
- Incidents by severity
- Spend under management
EXECUTIVE STORY
AI adoption is growing; controlled adoption is growing faster.