AI agent customer email approval
Runtime authorization for sending customer emails: policy checks, approval thresholds, and decision records before the agent acts.
Page audit
- Cited source ledger with May 27, 2026 access dates.
- Action-time policy, approval, and evidence model.
- Primary conversion path points to a demo; developer pages also point to install.
External messages can create commitments, leak data, or trigger regulatory notice problems.
Decision boundary
Put the Veto decision before send_customer_email reaches the system of record. The policy should see actor, tenant, amount or target, environment, and reason before the action executes.
| Risk signal | Policy response |
|---|---|
| Low value or read-only | Allow and record the decision. |
| Sensitive data or production target | Require approval from the system owner. |
| Wrong tenant, missing reason, or blocked destination | Deny before execution. |
| Repeated attempts after deny | Escalate to incident review. |
Example protected action
const decision = await veto.protect({
tool: "send_customer_email",
arguments: input,
context: {
actorId,
tenantId,
environment: "production",
},
})
if (decision.action === "deny") {
throw new Error(decision.reason)
}
if (decision.action === "require_approval") {
await veto.waitForApproval({ decisionId: decision.id })
}
return executeTool(input)A good page for this search should help the reader implement one governed action, not describe abstract governance. The useful artifact is the action-level decision record.
Sources
FAQ
What should a team authorize before sending customer emails?⌄
Authorize the exact tool name, arguments, actor, tenant, environment, and review requirement before the side effect reaches the upstream system.
Why not rely on prompts for this?⌄
Prompts guide model behavior, but they do not reliably stop a tool dispatch. Runtime authorization sits after the model proposes an action and before the tool executes.
What evidence should the page produce?⌄
Keep a decision record with the actor, tool, arguments summary, policy version, verdict, reviewer when required, timestamp, and source system context.
Related paths
Govern the next agent action