Data cleanup before AI
AI comes after the data is clean and access is clear.
Useful AI needs clean records, clear ownership, safe access, reliable reports, and reviewed documents first.
- Focus
- Data cleanup and Safer AI path
- Stage
- A first meeting can turn the problem into a clear plan, price, and next step.
- Use
- Use this page to prepare a clearer first meeting.
Data cleanup
Good data work starts with clean records, ownership, and structure.
Scope
A clear starting point for the first meeting.
Each page describes a type of work that may need better tools, safer access, cleaner data, clearer reports, or support after launch.
Data cleanup
Clean duplicate records, unclear ownership, scattered documents, manual reports, and system gaps before adding automation.
Safer AI path
Start with search, reports, document review, or internal assistants only when permissions and source documents can be trusted.
Access rules
Sensitive data, document access, user roles, and approval limits should be clear before automation is considered.
Useful first step
A practical first step may start with data inventory, report cleanup, document structure, and ownership rules.