AI Agents ยท Human-in-the-Loop
Agents Work the Case โ and Ask a Person When They Should
Human-in-the-Loop is built into the Process Agent operating model. When evidence is incomplete, contradictory or unusual โ or when policy requires a person before an external action โ the agent pauses the case, explains its reasoning, gives a recommendation, and waits for accept or reject.
Where people belong
Put human judgment exactly where the process needs it.
The agent handles the normal path. Human checkpoints are for business decisions, unusual evidence, approval authority or missing information.
Incomplete or contradictory evidence
Sensitive external action
Missing or wrong business data
Policy says a person decides
Waiting is a first-class process state โ not an error.
Process Agents have explicit statuses for work that is queued, running, waiting for a person, waiting on a system, resuming, completed, failed or cancelled. That makes human dependency visible and operationally manageable.
Escalation anatomy
A good human checkpoint contains more than an approval button.
The reviewer should receive the context needed to make the decision and the agent should know exactly how to resume afterward.
Why the agent stopped
A policy, unusual evidence, missing value, threshold, contradiction or external action can create the checkpoint.
What the agent found
Surface the document values, system data, matching result, discrepancy or other facts that caused the escalation.
How it reached the checkpoint
Explain the conclusion reached so far so a reviewer can follow what the agent did before it stopped.
What it thinks should happen
Ask with a recommended next action rather than only presenting an unexplained exception.
What the person decided
Capture accept/reject or correction, record it with the case, then resume the process from the appropriate point.
When it runs
The agent waits for you without losing the process.
A case can remain in Waiting for you until the authorized user responds. After the response, it enters Resuming and continues with the same evidence and prior conclusions available.
Every step logged
Asks with a recommendation
Stops rather than invents
Approval governance
Human approval is enforced by the runtime โ not merely requested in the prompt.
The Process Agent architecture separates policy from instructions. Approval requirements for external actions can therefore remain enforced even if the prompt changes.
Approval on Action tools
Policy over instruction
Decision audit trail
Human-response target
Authorized system access
Threshold-based escalation
Let the agent prepare the SAP action โ then require approval before the write.
An agent can read and validate SAP context, prepare a recommended action, and pause in Waiting for you. Only after an authorized person approves does the governed Action tool commit the change.
Why this matters
Why Human-in-the-Loop matters for enterprise agents.
FAQ
Common questions.
What does Human-in-the-Loop mean in Artificio?
It means a Process Agent can pause a case and ask a person to verify, approve, reject, correct or provide information before the process continues.
When does an agent ask a person?
It can ask when evidence is incomplete, contradictory or unusual, when required data is missing, or when runtime policy requires human approval before an Action tool runs.
What does the reviewer see?
The Process Agent model is designed to provide the evidence, the agent's reasoning and a recommended action rather than only presenting a generic approval request.
Does the case lose its state while waiting?
No. Waiting for you is an explicit case state. After the decision, the case can enter Resuming and continue from the appropriate point.
Can SAP writes require approval?
Yes. Tools that change external systems can be approval-gated before execution.
Is approval controlled by the prompt?
The stronger control is runtime policy. The Process Agent design explicitly separates governed policy from natural-language instructions.
Keep people where they matter
Bring an exception or approval your team still handles manually.
We'll show an agent doing the routine work, pausing with evidence and a recommendation, waiting for an authorized decision, and then resuming the same case safely.



