AI
Opportunity Discovery Lab

Light preparatory work to ensure relevance and maximize interactivity.

High-level overview of business priorities (internal or external material)
Identification of 2–3 key domains or workflows of interest (e.g., production, logistics, customer service)
Awareness of main data systems in use (ERP, CRM, Excel, sensors, etc.)
A short internal poll (5–7 questions) to gauge AI acculturation and expectations across participants

This workshop is designed to be collaborative across business and technical functions.

Business Leads: Operational or functional managers who understand the challenges
Data/IT Teams: Data owner, IT architect
Executive Sponsor: Strategic leaders

Workshop Planning

AI Alignment & Maturity Check
1- Build a common, realistic understanding of AI and GenAI in your industrial context

2- Align your stakeholders on ambition, remove blockers and misconceptions

3- Evaluate organizational maturity and identify gaps before investing in AI delivery

Capability Mapping & Sprint Readiness
1- Identify existing internal capabilities (data, tools, skills, sponsorship)

2- Map potential application areas by committing to specific use cases or intuitions

3- Decide whether and where it’s worth exploring further

Use Case Qualification Deep Dive
1- Consolidate the top 2–3 use cases identified in areas and by intuition.

2- Refine their framing with a clear business objective, problem statement, and success KPIs

3- Estimate value potential, implementation effort, and key risks to prepare decision-making.