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security · 1 min read

Approval Workflows for Sensitive AI Actions

Sending an email, paying a vendor, granting access - AI agents must not do these alone. Here is how Bhogar AI enforces approvals without killing speed.

BABhogar AI TeamProduct & Engineering

Some AI actions are reversible (drafting a doc) and some are not (paying an invoice). Production AI must distinguish them and require approval where reversibility is low.

Why it matters

Approvals routed to a single inbox become single points of failure. Production approval design uses policy-based routing, parallel approvers and explicit timeouts.

How Bhogar AI approaches it

Bhogar AI lets you mark any node as "requires approval" with a policy that selects approvers by role, attribute or schedule. Approvals fan out via Slack, Teams, email or dashboard with full audit trail.

  • Per-node "requires approval" annotation
  • Policy-based approver routing
  • Parallel approver fan-out
  • SLA + escalation
  • Audit log per decision

What you get

Sensitive workflows ship faster because approvals are baked in by design and audit-ready by default.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.