Human-in-the-loop AI
Where full autonomy works
AI agents can run autonomously for actions where the downside of a mistake is small and recoverable.
- Logging an order with known SKUs at catalogue prices for a customer in good credit.
- Sending an order confirmation.
- Sending a polite, templated reminder for a mildly overdue invoice.
- Generating a PO draft for a supplier, at contracted terms.
Where a human is pulled in
For anything that touches price, credit, or customer trust, the AI proposes and a named human approves. The AI writes the message, the human clicks send. The AI proposes the price override, the commercial lead approves it. The AI flags a credit exception, the finance lead decides.
The threshold is configurable per customer, per service. What is not configurable is the audit trail: every action and every approval is logged immutably, with reasoning and input context.
Why this matters for enterprise adoption
The real question buyers ask is not how smart the AI is. It is what happens if the AI gets a high-value invoice wrong. Human-in-the-loop is the answer that lets a CFO or Head of Ops say yes.
Frequently asked questions
What is human-in-the-loop AI?
AI that runs autonomously for low-risk, recoverable actions, and proposes a decision for a named human to approve wherever price, credit, or customer trust is involved. Every action and approval is logged to an audit trail.
Which actions run without human approval?
Low-risk, recoverable actions such as logging an order with known SKUs at catalogue prices for a customer in good credit, sending an order confirmation, sending a mildly overdue payment reminder, or drafting a purchase order at contracted terms.
Who approves AI actions that touch price or credit?
A named human, in Slack. The AI writes the proposal, such as a price override or a credit exception, and the human approves or declines it. The threshold is configurable per customer, per service.
Is every AI action logged?
Yes. Every action and every approval is logged immutably, with reasoning and input context, so a business can go back and ask why a decision was made and get a real answer.
See it running on a real wholesale P&L
Thirty minutes with a founder. Bring your three most painful manual processes.