guardrails
Updated September 2026
AI guardrails are the rules that bound what an agent may say and do: identity checks, per-department tool allowances, gated money actions, audit trails. The definition and how Sky does it.
What is a guardrails?
AI guardrails are the rules that bound what an agent may say and do: identity checks before account details move, per-department tool allowances, gated money actions, and a full audit trail.
AI outputs are not fully deterministic, so the guardrails carry the trust: the agent can be eloquent inside the boundaries and still never move money, share an account, or use a tool the operator did not allow.
How does it work?
Policies define the boundaries per department; the agent's tools are allowed or denied one by one; identity is verified before any account detail moves; money actions run only through gated paths with caps; and every action is written to an audit trail you can open, filter and export.
- Identity verified before account detail moves
- Tools allowed or denied per department
- Money actions through gated paths with operator caps
- Nothing goes live until the operator approves it
How does Sky do it?
Sky runs under these controls: identity verification before account detail moves, tools allowed or denied per department, money actions through gated paths with caps, calling windows and suppression lists on outbound, an audit trail for everything, and nothing live until the operator approves it.
The full product page for this term: AI customer support agent. Read next: human-in-the-loop and conversational AI.
Frequently asked questions
Are guardrails a promise the AI never errs?
No, and be suspicious of anyone who says so. Guardrails bound what an error can do: the agent speaks within policy and acts only through the paths you allow.
Who sets the guardrails?
You do, per department, in the console. Nothing goes live until the operator approves it.
Can we see what the agent did?
Yes. Every action is on the audit trail, which you can open, filter and export.
See the term in production.
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