Blog · · Jiber Team
Designing human-in-the-loop checkpoints that people actually use.
A human-in-the-loop checkpoint is a step where an AI agent pauses for a person to approve, edit or reject an action before it takes effect.
TL;DR: Put human checkpoints before irreversible actions, show reviewers exactly what the agent intends and why, let them edit rather than only approve or reject, and keep refining which steps need review. Well-placed checkpoints keep people in control without slowing everything down.
Why is human-in-the-loop hard to get right?
Human-in-the-loop is easy to promise and harder to design well. Too many approvals and people start rubber-stamping them. Too few and risk creeps in unnoticed. The goal is a small number of checkpoints that reviewers actually read.
Jiber is an AI company that builds process agents for businesses. Every agent we build combines fixed business rules with AI reasoning and includes human sign-off at checkpoints the customer chooses.
Where should approval checkpoints go?
Place checkpoints before actions that are hard or impossible to undo. Typical examples:
- Sending a message to a client, candidate or buyer
- Submitting a filing or a form to an outside body
- Committing money or making an offer
- Changing a record that other systems treat as the source of truth
Steps that only read data or prepare drafts usually do not need approval. Keeping checkpoints focused on irreversible actions is what keeps them meaningful, because reviewers learn that every request they see genuinely needs their attention.
What should a reviewer see at each checkpoint?
Each approval should be self-explanatory, so a reviewer can decide quickly without opening other systems. A good checkpoint shows:
- What the agent intends to do, in plain language
- The inputs it used, with links back to the source documents
- The rule that applied, or the reason the case was flagged
- Any field where the agent was not confident
In Form 1120 tax preparation, for example, a preparer reviews the return draft alongside the figures and the exceptions the agent raised.
Should reviewers only approve or reject?
No. Reviewers often need to adjust a draft rather than discard it. Allowing edits keeps useful work and records exactly what the person changed. In recruiting, a recruiter might adjust a shortlist. In real estate, a sales manager might change the wording of a reply before it goes out.
Every approval, edit and rejection should be written to the audit log with who made it and when. That record shows exactly how much human judgement went into each result.
How do checkpoints improve over time?
Review data is useful feedback. Track which approvals are almost always accepted unchanged and which are frequently edited.
- Steps accepted unchanged for a long time may be candidates for lighter review, if the business agrees.
- Steps that are often edited show where rules or extraction need work.
Any change to checkpoints should be a deliberate decision by the process owner, not something the agent decides for itself. Read more about how this fits together on our platform page and our security page.
Frequently asked questions
What is a human-in-the-loop checkpoint?
It is a point in an automated process where the agent pauses and a person reviews, edits, approves or rejects the next step before it happens.
How many checkpoints should an agent have?
As few as needed to cover irreversible actions and flagged exceptions. Too many checkpoints lead to rubber-stamping.
Can checkpoints be removed later?
They can be adjusted if review data shows a step is consistently accepted unchanged, but that should always be a decision made by the process owner.
Want to see where checkpoints would sit in your own workflow? Book a demo and we will walk through it with you.