Human-in-the-loop control
Keep the owner in the loop when a workflow touches money, customers, commitments, legal wording, or uncertain context.
Short Answer
AI agent approval gates and activity logs keep automation inspectable. Manor AI is designed around reviewable autonomy: agents can prepare drafts, summaries, reports, and tasks while sensitive customer-facing, financial, legal, or trust-related actions remain visible to a human reviewer.
What It Does
Visible reasoning surface
Use citations, summaries, and status logs so the reviewer can understand what the agent used and why it escalated.
Gradual autonomy
Start with drafts and reports, then widen narrow low-risk permissions only after the workflow has earned trust.
How It Works
List sensitive actions
Name what must never run unseen: refunds, price changes, legal language, angry customers, payments, and external sends.
Define approval rules
Tell the agent when to draft, when to route, and when to stop for review.
Require citations and logs
Make customer-facing answers and recurring runs show source context and activity history.
Review misses weekly
Use the log to adjust sources, skills, permissions, and escalation rules.
Actions that should stay gated
- Refunds, discounts, and billing changes.
- Legal, compliance, or contract wording.
- Angry customers or sensitive relationships.
- New public claims or pricing promises.
- Any action with missing source context.
FAQ
What is an approval gate?
An approval gate is a rule that makes an agent stop and ask a human before a sensitive action continues.
Why do activity logs matter?
Logs show what the agent inspected, prepared, skipped, escalated, and changed, which makes automation easier to supervise.
Does approval-first mean no automation?
No. It means automation starts with visible drafts, reports, and internal tasks before expanding to low-risk actions.
Use AI agents without hiding the decisions that matter
Create Manor workflows with approvals, citations, and logs from the first run.