AI Strategy
Business alignment — from Enterprise Vision to Continuous Value Delivery
The pointFund outcomes, not pilots — kill half at validation, attest the rest.
At a glanceFrom vision to attested value
Enterprise
Leadership
Leadership
AI Value Engineering
Enterprise Goals & VisionDefine organizational AI ambitions
Value Drivers
Operational ReinventionAI for operational efficiency
AI EnablementAI-powered productivity gains
Revenue EngineeringAI for revenue growth
Opportunity Discovery
Use Case DiscoveryIdentify AI opportunities
PrioritizationFirst pass: rank by rough t-shirt sizing & feasibility
Strategic Validation
TechnicalCan we build it?
Ethical/ResponsibleIs it the right thing to do?
Legal/RegulatoryAre we allowed to build it?
BusinessShould we build it?
Data ReadinessDo we have the right data?
Build vs BuyMake or purchase decision
Kill gate: a healthy 30–50% of candidates are killed or recycled here — kill without stigma. A high kill rate at validation is portfolio discipline, not failure.
Value Quantification
ROI ModelingSecond pass: full ROI model, post-validation
BudgetingAI investment planning
OKR & KPISuccess metrics framework
Roadmapping
AI RoadmapImplementation timeline
Milestone PlanningKey delivery checkpoints
Value Management
Stakeholder ReportingProgress communication
Continuous Value MgmtOngoing value optimization
Benefits AttestationFinance-attested value — banked, not just reported
Value
Delivered
Delivered
Continuous Feedback Loop: Value Management insights feed back to Strategy refinement
Goal Alignment
Value Focus
Risk Aware
Measurable
Iterative
AI Value Engineering - AI Transformation Framework