How PreMetric works
PreMetric applies a structured, finite decision process to determine whether AI initiatives should proceed. Each engagement produces a documented recommendation and a decision record suitable for board review and regulatory inquiry.
A decision framework, not analysis about AI
PreMetric evaluates whether AI initiatives should proceed, not whether AI systems are technically sound. The process operates upstream of procurement and deployment, where decisions remain reversible and defensible.
Structured
Consistent methodology applied to every initiative regardless of use case or technology vendor.
Finite
Bounded engagement with clear deliverables. Not open-ended consulting.
Documented
Every step produces documentation suitable for audit, board review, and regulatory response.
Five stages of assessment
Each engagement follows a defined sequence from framing through documented recommendation. Every stage produces evidence that supports the final determination.
Decision Framing
Scope, accountability, and evidence thresholds
Value & Exposure
Capital-risk balance and downside scenarios
Assumptions & Conditions
Critical assumptions and reassessment triggers
Governance Clarity
Accountability structures and oversight mechanisms
Recommendation
Documented determination with decision record
Structured — Finite — Documented
This ends in a decision
PreMetric engagements conclude with one of four documented outcomes. Each represents a defensible position when properly assessed and documented.
Approve
Initiative proceeds as proposed with documented justification and monitoring criteria.
Modify
Initiative proceeds with specified adjustments to scope, governance, or risk controls.
Stop
Initiative should not proceed. Exposure exceeds defensible value under current conditions.
Reassess
Insufficient clarity to determine. Additional evidence or time required before decision.
Every outcome is defensible when properly assessed and documented. The decision record serves as institutional evidence of diligence.