AI STRATEGY & BUSINESS ALIGNMENT

From Enterprise Vision to Continuous Value Delivery

The pointFund outcomes, not pilots — kill half at validation, attest the rest.

Enterprise
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

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