Factify is the truth infrastructure that lets banks put AI agents into core workflows without gambling on whether those agents actually follow the rules.

Most agent pilots never reach production because the missing piece is not model capability. It is the ability to certify what an agent knew, enforce policy before it acts, and prove afterward that it followed the right rules. That gap keeps onboarding, underwriting, KYC, AML, claims, and other high-stakes workflows stuck behind manual review.

Factify closes that gap through three layers: Seal, Enforce, and Prove.

Seal reconciles fragmented policies, procedures, systems, and institutional knowledge into one certified, current rulebook. Enforce checks every agent action against that rulebook before execution, blocking or escalating decisions that conflict with policy or rely on stale information. Prove gives every decision its own evidence trail, showing what the agent knew, which policy or source it relied on, who approved it, and when it was last verified.

Instead of adding another governance dashboard around the model, Factify sits in the decision path itself, making policy executable at runtime and producing the evidence required for internal review, audit, and regulatory scrutiny alike.

The result is enforcement banks can rely on and prove, not governance they hope holds. Every agent action is checked against the current rulebook, with a complete evidence trail available on demand.

That gives legal, compliance, and risk teams the confidence to approve AI agents for high-stakes workflows, helping banks move from pilot to production without scaling manual verification or risk.