Put hard railsaround everyagent action.

PolicyRails is the control layer for agent actions, tool use, LLM calls, approvals, and audit.

POST /v1/evaluate

subject:   ai-agent:finance-assistant
action:    send_email
resource:  email

policy match:
- detect SSN pattern in body
- challenge high-risk outbound email
- require approval before delivery

decision:  CHALLENGE
intent_id: pr_intent_7f29
next:      wait_for_approval

What It Does

One control plane for real AI operations.

Enforce before execution

Stop risky tool calls, data actions, and outbound operations before they execute.

Human approval when needed

Route high-risk actions into approval flows, then let agents continue automatically.

Govern LLM calls

Inspect, control, and log model requests through a brokered policy layer.

Control spend and rate exposure

Use budgets, accumulators, and usage controls to stop runaway behavior.

Define policy with real vocabulary

Map policy to the real tools, schemas, and resources your agents touch.

Keep every decision auditable

Keep a full record of decisions, approvals, denials, and policy activity.

How It Works

The decision layer between intent and execution.

Agent submits intent

Every action becomes a decision request with subject, action, resource, and context.

Policy evaluates

Rules return approve, challenge, or deny in real time.

Execution is gated

Approved actions proceed, challenged actions wait, denied actions stop.

Audit stays intact

Usage, approvals, denials, and policy changes stay visible end to end.

Built For

For teams shipping agents into high-risk workflows.

Platform teams

Centralize enforcement instead of rebuilding it in every agent.

Security and compliance

Get deterministic controls, review gates, and evidence trails.

AI product builders

Ship agents without giving them unbounded ability to act.

Beta Waitlist

Join the PolicyRails beta waitlist.

Tell us what you're building. We'll reach out when onboarding opens.

Contact

Need to talk through your use case?

Reach out if you need hard controls over agent actions, approvals, and auditability.