AI Agent With Human-in-the-Loop Approval Workflow

I will build an AI agent with a structured human-in-the-loop approval workflow — where the agent autonomously plans and prepares actions but requires explicit human approval before executing any high-impact step (sending external communications, modifying financial records, or any action you designate as requiring sign-off), with a review interface presenting the agent's proposed action and reasoning, and an audit trail of all approvals and rejections. AI agents deployed in business-critical contexts need calibrated autonomy — full automation for low-risk, easily reversible actions and mandatory human approval for high-impact or hard-to-reverse actions — and the approval workflow architecture is what makes this calibration operationally enforceable rather than a policy that depends on the agent "remembering" to ask.

The build covers action risk classification (auto-execute vs. requires-approval), a review interface showing the agent's proposed action, reasoning, and supporting data, an approval/rejection workflow with notification to the responsible human reviewer, audit logging of all agent actions and human decisions, and configurable approval thresholds you can adjust as confidence in the agent grows.

Designed for businesses deploying AI agents for higher-stakes tasks who want the efficiency of agent automation combined with the safety of mandatory human oversight for consequential actions.