AI doesn't create data and doesn't replace a decision.
The self-assessment checks readiness for AI by three signs: whether the data is usable, whether the process that will receive the result has been named, and whether there is a number that will show the use case has worked.
We check:Management data, Repeatable processes, Technology backbone, Reliable records, Accountability
Five pillars · no registration · answers stay in this tab
Assessment questions and results are currently available in Russian.
Pillars: Management data · Repeatable processes · Technology backbone · Reliable records · Accountability
If the constraint is confirmed: AI Consulting · AI in Workflows · AI Tools Implementation · Technology Architecture and AI
Self-assessments for other areas
## /diagnostic/strategy
Checks what your ambition rests on: whether there are grounds for the choice, whether the priority is backed by resources and whether the team understands the direction the same way.
