Truth agents can’t bypass.

When the business workflow matters, the agent needs more than access. It needs governed truth.

How enterprise knowledge becomes safe for agent execution

01

Turn scattered knowledge into certified policy.

Factify ingests policies, files, databases, SaaS records, emails, and internal decisions, then reconciles them into versioned policy objects with owners, sources, approvals, and effective dates.

02

Make policy enforceable at runtime.

Approved policy is compiled into deterministic logic, so every agent action is evaluated against the active version before it can update a record, trigger a workflow, or return a decision.

03

Trace every outcome back to policy.

Every allowed or blocked action is recorded with the policy version, source evidence, approval trail, owner, timestamp, and reason behind the enforcement decision.

Why agents need Truth Infrastructure

More reasoning is not enough.

If the source is wrong, the decision is wrong. A smarter model only gets better at explaining a bad answer.

With Factify: agents act only on certified, versioned truth approved by the organization.

More retrieval is not enough.

RAG can find the right document. It cannot decide which policy is active, which exception applies, or which source wins when records conflict.

With Factify: conflicting sources are reconciled before they become agent context.

More guardrails are not enough.

Guardrails sit around the model. Critical workflows need policy enforced before action reaches the business system.

With Factify: approved policy becomes deterministic enforcement logic at runtime.

More audit logs are not enough.

A log proves something happened. It does not prove the agent acted on approved truth.

With Factify: every decision is tied to the source, policy version, owner, approval, and evidence trail.

Built for agents that touch regulated decisions

  • Get agents approved for production

    • Give Risk, Legal, and Compliance the controls they need before launch
    • Replace manual verification loops with certified facts and enforced policy
  • Keep agents aligned with changing policy

    • Detect when regulations, internal decisions, exceptions, or source systems change
    • Republish the approved version before agents act on stale truth
  • Make every decision defensible

    • Record the source, version, owner, approval, and enforcement outcome
    • Give compliance proof before the audit asks for it

Scale your AI. Not your risk

Connects to the systems your decisions already run on

Can you prove your agents acted on the right facts?