CCT diagnosis / AI audit
Start by understanding what is really blocking performance
The CCT diagnosis identifies the constraints that prevent tools, teams and AI projects from producing systemic improvement. It prevents investing too early in the wrong place.
Signals that justify an audit
- The leader or a few key people remain the mandatory passage point for decisions.
- Tools do not talk to each other or force constant re-entry and reconciliation.
- New tools are only partially adopted or are bypassed by teams.
- AI creates local gains without improving the system as a whole.
- Teams spend more time coordinating work than producing it.
What you receive
- Structured reading of human, informational and technical constraints
- Identification of critical coupling and visible symptoms
- Recommended sequence: stabilize, assist, then automate
- Prioritized action plan based on throughput impact
- Recommendation on tooling, support or targeted software build
Working sequence
1. Read
Map the real flows, locate decision concentration, fragmented data and operational workarounds.
2. Prioritize
Define what must be stabilized, what should be assisted and what can be automated without creating new debt.
3. Engage
Turn the diagnosis into a concrete path: executive workshop, support, tooling or targeted software build depending on context.