The ideal program combines an executive session on value and risk, shared foundations, role workshops and experimentation follow-up. It should use tools available to the company and respect its data policy.
AI training in Casablanca: what program for your teams?
An operational learning path for executives, marketing, sales and support functions. Reliable results require connecting technology to a workflow, data, an owner and a measure. The following principles structure that decision.
01 — Executives: opportunities, limits, use-case portfolio, investment and governance
Executives: opportunities, limits, use-case portfolio, investment and governance.
02 — Marketing: research, briefs, variants, feedback analysis and brand consistency review
Marketing: research, briefs, variants, feedback analysis and brand consistency review.
03 — Sales: meeting preparation, summaries, follow-up, CRM and controlled personalization
Sales: meeting preparation, summaries, follow-up, CRM and controlled personalization.
04 — Support: knowledge search, drafting, procedures, extraction and reporting
Support: knowledge search, drafting, procedures, extraction and reporting.
05 — AI champions: community support, use-case collection, rules and incident escalation
AI champions: community support, use-case collection, rules and incident escalation.
Action plan
Use this sequence as a starting point. Each step should produce a decision or verifiable output before the next.
- Scoping meeting
- Pre-course survey
- Executive session
- Role workshops
- Policy and resources
- 30-day review
Mistakes to avoid
- Choosing only by duration
- Evaluating only through satisfaction
- Not appointing champions after training
Frequently asked questions
Yes, with a suitable room and connection for practical exercises.
Yes, after selection and anonymization where confidential data is involved.
Key takeaway
The ideal program combines an executive session on value and risk, shared foundations, role workshops and experimentation follow-up. It should use tools available to the company and respect its data policy.
The important point is to progress through evidence: a precise use case, representative test, documented limits and an outcome-based decision.