The Defensible AI Framework™
The six-pillar methodology every engagement is built on.
The Defensible AI Framework™ is our productized diagnostic — the same six-pillar model used by community banks, credit unions, and mid-market insurers to answer the question every regulator, board audit committee, and buy-side diligence team is now asking: is this AI defensible?
Every engagement uses the framework. Every deliverable maps to it. Every value-tracking document ties back to it.
The six pillars
Governance Structure
Who owns the model. Who owns the decision. Who signs the risk acceptance. The org design that makes AI a managed capability, not a shadow capability.
Model Inventory and Risk Classification
The list of every model in production, every model in development, every third-party AI dependency. Classified by materiality, sensitivity, and regulatory exposure.
Third-Party AI Risk Management
Vendor concentration, contract terms, IP boundaries, data-out clauses, model provenance. The layer most portcos miss until an exit diligence team finds it.
Validation and Monitoring
Pre-deployment testing, ongoing performance monitoring, drift detection, incident response. The controls that separate an AI capability from an AI liability.
Data Privacy and Consumer Protection
Data handling, purpose limitation, consent, right-to-explanation. Mapped to state privacy laws, sector rules, and the federal patchwork now taking shape.
Board Reporting
The one-page monthly view a board audit committee needs. The quarterly narrative an LP will read. The language a regulator will accept.
How it fits together
A single-page visual of the six pillars, each with 3 sub-controls, arranged around a central "board-ready output" circle. Delivered in the design phase.
output
Full diagram delivered in the design phase
See the Framework in action
Book a 60-minute diagnostic and we'll walk you through how the Framework applies to your specific situation.
Book a Diagnostic