Put guardrails on autonomous agents

Let agents do real work without handing over the keys. Put approval gates in front of consequential steps, cap spend, and limit what each agent can touch — with the platform enforcing it, not hope.

What you'll use

Orchestration approval gates with designated approvers, cost limits, and the security roles that scope every agent. Together they're the guardrails around autonomous work.

The guardrails

1. Approval gates with named approvers. A pipeline stage can require approval and name an approver role. At launch you assign who holds that gate (specific people). Work pauses there until a holder approves (or rejects with notes) — and only a designated holder can: anyone else is refused with a clean "Only the designated approver may approve this gate." So the human stays in the loop exactly where it matters.

2. Cost limits that actually stop runs. Set a cost limit on an orchestration and it halts itself if agent spend reaches the cap — it doesn't quietly keep going. Give scheduled agents a daily cost limit for the same protection. Limits are enforced by the engine, not just displayed.

3. Scoped permissions. Every agent acts as its own identity with security roles that decide what it can read and change. An agent can't reach data or actions outside its grants — so "autonomous" never means "unbounded."

4. A full audit trail. Each run leaves a coordinator conversation, the artifacts it produced, a per-agent run history, and recorded communication events — so you can always see what was decided, by whom, and what the agents did.

Result

Confidence to let agents run: consequential steps wait for the right person, budgets are guaranteed, blast radius is bounded by permissions, and everything is traceable after the fact. Guardrails are what make autonomy safe to ship.

Design gates where a mistake would be expensive (a deploy, a customer email, a spend) and let the agents run freely in between — that's the balance that keeps speed without losing control.