Once an agent can act, it needs a decision point
AI agents don’t just answer questions. They draft and send messages, update records, call APIs, and trigger downstream workflows. The moment an agent can take an action that touches the real world, you need something in front of every consequential action that says: allow it, deny it, or send it to a human first.
Propose → evaluate → approve → execute → record
An agent proposes an action. UAPK Gateway evaluates it against your policy. Low-risk actions are allowed and executed through a connector. Risky actions are escalated to a human approver. Once approved, the action runs. Every step — proposed, evaluated, approved, executed — is written to a signed audit record.
Actions worth putting a boundary in front of
- —Outbound client emails
- —CRM and record updates
- —Document generation
- —Research exports
- —Payment-related actions
- —Public publishing
- —API calls from AI tools
How it fits your stack
UAPK Gateway exposes a public OpenAPI, a Python SDK, a manifest-based policy model, and a builder UI for assembling governance manifests. Integration guides for Make.com, Zapier, n8n, and Langflow are in the docs.
- —Public OpenAPI — call the Gateway from any stack.
- —Python SDK — LangChain-ready.
- —Manifest-based policies — policy as a versioned artifact.
- —Integration guides — Make.com, Zapier, n8n, Langflow.
Common questions
Put a boundary in front of your agents
Start with one action: propose it, let the Gateway evaluate it, approve it, and get a signed record.