AI audit
AI audit before implementation
An AI audit helps choose the first process worth automating and prevents wasted development on unclear ideas.
- One process at a time
- Process map and MVP plan
- Price after an introductory review
What this includes
01
What the audit reviews
We review the workflow, real examples, data sources, integrations, ownership and the cost of an error before suggesting an AI scenario.
Process and bottleneck
Data and system access
Risk boundaries
Success metric
02
What you receive
The result is a practical decision package: the current process map, automation opportunities, an MVP scope, dependencies, risks, budget logic and a staged roadmap.
Process map
Automation priorities
MVP scope
Risks and roadmap
03
Next step
Send a short description of the work that is slowing your team down. We will reply with a practical starting point, the information we need and the likely next step.
One useful task first
Expected result agreed before development
Your team approves critical actions
Tell us what you want to automate
Send a short message in Telegram: current workflow, tools you use, where the team loses time and what result would be useful first.