They write the rules.
We enforce them.
Governance documentation platforms define policies — sold to compliance teams. Prefactor enforces those policies at runtime — sold to AI leaders. Rules without enforcement are just wishes.
| Capability | Governance Documentation | Prefactor |
|---|---|---|
| Policy catalogues & versioning | ✓ | — |
| Model cards & risk assessments | ✓ | — |
| Compliance evidence generation | ✓ | Partial |
| Identity & access management | ✓ | — |
| Runtime policy enforcement | — | ✓ |
| Outcome quality assessment | — | ✓ |
| Cost efficiency governance | — | ✓ |
| Inline blocking & approval routing | — | ✓ |
| Composite risk scoring | — | ✓ |
| Immutable audit log | Partial | ✓ |
Before vs during
Documentation platforms work before deployment — defining policies. Prefactor works during execution — enforcing them. You need both. A rulebook that nobody enforces is just a wish list. Enforcement without a rulebook is unauditable.
Credo AI AI governance platform for policy management and compliance reporting. Read comparison → Microsoft Agent 365 Agent identity, access management, and lifecycle controls within the Microsoft ecosystem. Read comparison →
Policies on paper are not policies in production
If you already document governance policies, Prefactor adds the runtime enforcement layer — proving to auditors that your policies are actually applied when agents execute.
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