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Govern agent changes before they ship.

AgentFlow is the AI agent governance platform to register agents, review changes, enforce policy coverage, and retain audit-ready evidence — continuously and in context.

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  • RegistryAgents, models, and apps
  • ChangesTier, SLA, and preflight
  • PolicyEvidence and approval

Policy packs for EU AI Act, NIST AI RMF, ISO 42001, and more — configured in your workspace.

How it works

AI agent governance that keeps up with how agents actually change.

Teams ship agent updates weekly — sometimes daily. The gap isn't lack of policy; it's that review still lives in tickets while changes live in git, prompts, and runtime configs.

  1. 01

    Surface changes early

    Connect repos, runtime traces, and platform APIs so prompt edits, tool changes, and config drift show up before they reach production — not after someone notices in prod.

  2. 02

    Review in context

    Tier, preflight, policy state, and the actual diff sit on one screen. Reviewers decide from the change itself — not from a ticket that links out to five other tools.

  3. 03

    Leave a defensible trail

    Every approval, rejection, and deploy authorization is signed and retained. When audit or GRC asks, you export the record — you don't rebuild it from Slack and spreadsheets.

Fits alongside Jira, ServiceNow, Linear, and the GRC stack you already run — not a rip-and-replace.

Get early access to agent governance — registry, change review, and audit-ready evidence.

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