Give agents the high-stakes work. A person still signs off.
An agent about to move money, change production, or touch customer data asks the right person in Slack, Teams, or the console. It carries on the moment they decide, and the decision is sealed in a policy receipt.
Agents take on consequential work because the risky steps always reach someone accountable.
Approvers see the amount, the reason, and what changed, where they already work.
The policy, the requester, the approver, and the outcome, ready for audit.
The right person decides, then the work continues.
Sensitive actions pause with the context an approver needs, reach them in Slack, Teams, or the console, and resume after a decision.
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Everything the approver needs, in one request.
The amount, the reason, the checks that passed, and who is asking arrive together, wherever the approver works.
Approved work resumes. Denied work stops.
Either way, the decision is recorded with the policy version and the person who made it.
Every decision sealed on one record.
Each governed action carries a receipt: the policy that applied, who asked, who approved, the access used, and what happened.
Answer any audit question from the receipt.
Hand an auditor one record instead of screenshots from five systems.
Policies that live with the agent and never ship half-enforced.
Each agent’s policy is versioned with the agent. A company-wide baseline applies first, and a policy that can’t be enforced is refused at deploy, never shipped quietly.
Test a decision before you deploy it.
Check how a policy answers a real action before it goes live, and keep every version pinned to the deploy that shipped it.
Start from policies other teams already trust.
Start from read-only, gated-write, cloud infrastructure, multi-SaaS, or strict lockdown templates instead of a blank file.
Sensitive data never leaves in an agent’s words.
Block, warn on, or redact personal data and secrets in what goes into and comes out of the model, for every agent or only the ones that need it.
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Redact secrets and personal data before they reach the model.
Turn on filters for emails, card numbers, social security numbers, and API keys. Changes apply on the next call, with no redeploy.
Put a person in front of your riskiest agent action.
Pick your riskiest agent action. We’ll set up the policy with you, send a real approval to Slack or Teams, and show the receipt it leaves.