Diagnose
AI Readiness Assessment
Assesses whether the conditions exist — data, processes, skills and governance — to adopt artificial intelligence with a business result.
Who it is for
- Managers and transformation teams
- Operations and data leads
Expected value
- Avoid investing in technology without the basic conditions
- Choose use cases by value and feasibility
Dimensions
Indicative assessment dimensions.
The dimensions below are indicative and will be consolidated before launch. At this stage there are no questions, scales or maturity algorithms.
Data and systems
Process maturity
Internal skills
Governance and usage rules
Candidate use cases
Future journey
How it will work.
Approximate journey, subject to adjustment during development.
- 01DiagnoseEm curso
- 02UnderstandPor iniciar
- 03ActPor iniciar
- 04Measure impactPor iniciar
- 01Complete a structured set of questions by dimension.
- 02Receive a maturity profile by dimension.
- 03Identify priorities and critical gaps.
- 04Discuss the results with a KMA advisor.
At this stage the diagnostic is in development: it does not produce scores, personalised recommendations or reports. You can register interest and be contacted when it becomes available.
AI layer
Assisted interpretation — prepared, not yet active.
When the diagnostic goes live, reading the results may be supported by AI. The presentation structure is already defined and always separates analysis, assumptions, recommendations, advisory input and next actions.
Assisted interpretation layer
Coming soonThe AI layer is prepared but not enabled: provider, model, output structure and scoring logic are not defined yet.
Analysis
Reading of the data provided. Machine-generated.
Assumptions
What was assumed where information was missing. Must be confirmed.
Recommendations
Automatically generated suggestions, subject to validation.
KMA advisory input
HumanWritten or validated by a KMA advisor. Never machine-generated.
Next actions
Concrete steps and decisions, with owner and timing.
Escalate to a KMA advisor
High-value decisions stay with people. Any AI-assisted output will be routable to human review before it is used.
- High-impact decision (investment, governance, restructuring).
- Insufficient data or assumptions that are too broad.
- Regulatory, legal or compliance matter.
- Explicit client request for human validation.
AI-assisted content. It is not professional advice and must be validated by a KMA advisor before any decision.
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