Work area
Work area is described as a separate step: input, data source, rule, result, and possible stop point.
AI automation diagnosis
The diagnosis shows which company process is suitable for a first AI automation pilot.
Find process
Check data
See risks
Choose pilot
What is clarified?
It checks repeated work, available data, cost of mistakes, involved roles, and clear limits for automatic decisions.
Data
Data is described as a separate step: input, data source, rule, result, and possible stop point.
Loss
Loss is described as a separate step: input, data source, rule, result, and possible stop point.
Limit
Limit is described as a separate step: input, data source, rule, result, and possible stop point.
Pilot
Pilot is described as a separate step: input, data source, rule, result, and possible stop point.
Contact
Contact is described as a separate step: input, data source, rule, result, and possible stop point.
How does the process work?
The flow connects process questions, data sources, stop scenarios, value, and contact details. The result is a first view of a safe pilot area.
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?
Risky decisions, personal data, and financial approvals stay connected to people.
Find process
Check data
See risks
Choose pilot
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.
Start the first diagnosis
The diagnosis turns a rough idea into a concrete first automation area.
Start diagnosis