Problem
The company knows it has manual work, but does not know which fragment to choose, how much it costs and whether the data is ready.
Decision before delivery
The audit prevents building a system that looks modern but does not save time or improve sales.
Problem
The company knows it has manual work, but does not know which fragment to choose, how much it costs and whether the data is ready.
For whom
For companies that want to enter AI practically: no trend presentation, just a decision about the first process.
Business effect
After the audit you get one selected process, PoC scope, estimated budget, risks and a recommendation: build, postpone or simplify.
Example
Example: instead of automating everything, we choose inquiry qualification, a knowledge base or one data retyping step.
Budget and proof
The price range is visible before a call so the first conversation can focus on fit, risk and data sources.
FAQ
A short delivery decision: process, scope, budget, risks and the first test to launch.
No. The audit can end with a decision that the process should not be automated in its current form.