Rule
Rule is described as a separate step: input, data source, rule, result, and possible stop point.
Human control in AI automation
Trust grows when AI does not decide invisibly, but shows limits, stops, and approvals clearly.
Rules
Stops
Log
Approval
What is clarified?
The page explains rules, stop points, roles, review logs, and responsibility.
Risk
Risk is described as a separate step: input, data source, rule, result, and possible stop point.
Stop
Stop is described as a separate step: input, data source, rule, result, and possible stop point.
Approval
Approval is described as a separate step: input, data source, rule, result, and possible stop point.
Log
Log is described as a separate step: input, data source, rule, result, and possible stop point.
Role
Role is described as a separate step: input, data source, rule, result, and possible stop point.
How does the process work?
Each critical action gets a rule: prepare automatically, send for approval, or stop.
Diagnosis
One narrow work area is chosen and checked with real examples.
Process map
Inputs, data, rules, roles, and exceptions are made visible.
Test run
A small prototype shows whether automation works in daily operations.
Operation
The flow receives limits, approvals, logs, and clear ownership.
Where does control stay?
A person owns risk, exceptions, approvals, and final responsibility.
Rules
Stops
Log
Approval
FAQ
Start with a repeated process where time, money, or control is visibly lost.
No. The first step can focus on one clear process and the most important data sources.
It organizes information, prepares text or decisions, and shows open points.
A person decides on exceptions, risks, approvals, and all cases marked as critical.
Check control limits
The diagnosis shows where AI can work freely and where a person must decide.
Start diagnosis