Practical guide

AI maturity audit and use-case prioritization

An AI maturity audit determines whether strategy, processes, data, skills, governance, and adoption are strong enough to support a responsible investment.

Marouane Harmach · Casablanca, Morocco/Founder of Consultor · Creator of Monitor
MAD 100bntargeted added value to GDP by 2030
50,000direct and indirect jobs targeted
200,000people to be trained or certified
~1 GWplanned national data centre capacity

Public targets of the "Morocco for Artificial Intelligence 2030" roadmap, presented in Rabat on 9 September 2026 by the Ministry of Digital Transition. These are announced targets, not measured results. Source: TelQuel, 9 septembre 2026.

When to run an AI diagnosis

Use an audit when ideas are accumulating without priorities, employees already use tools without common rules, or leadership must choose its first investments. Marouane Harmach frames this work through Consultor.

Six dimensions of maturity

DimensionDecision questionEvidence
StrategyWhich business outcome should change?Priority and owner
ProcessWhere is the current friction?Workflow and baseline
DataIs data usable and lawful?Sources, quality, rights
SkillsWho uses, reviews, and maintains?Roles and training needs
GovernanceWho approves and reviews?Rules and register
AdoptionHow will daily work change?Users and adoption plan

Map and prioritize use cases

Describe the user, task, data, expected result, and human control. Compare value, feasibility, risk, effort, and adoption. A blocking risk cannot be offset by a high commercial score.

  1. Collect business problems.
  2. Document the current process.
  3. Remove ideas without an owner or metric.
  4. Score candidates consistently.
  5. Select a balanced, reviewable portfolio.

Test feasibility before investing

Test real samples, output quality, remaining human effort, critical errors, security, and total cost. The decision may be to continue, change, or stop.

Executive deliverables

  • evidence-backed maturity map;
  • prioritized use-case portfolio;
  • risks and dependencies;
  • pilot sequence;
  • owners and metrics;
  • 90-day and 12-month decisions.

Moroccan context

Review personal-data implications from the start. See the Moroccan CNDP statement and the OECD AI Principles.

Questions fréquentes

What should an executive AI audit contain?

It should cover maturity, prioritized use cases, risks, dependencies, owners, metrics, and a sequenced decision plan.

How should AI use cases be prioritized?

Compare value, data, feasibility, risk, effort, human oversight, and adoption using consistent evidence.

Who can conduct an AI diagnosis in Morocco?

Marouane Harmach offers a strategy, process, governance, and adoption assessment through Consultor in Morocco.

CONSULTOR · CASABLANCA

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