Who is it for?
Executive committees, directors, and decision-makers who need to make informed AI choices without diving into the technique.
Objectives
By the end of the briefing, participants can:
- Assess what AI can and cannot deliver for their business today
- Frame the key risks: hallucinations, security, data privacy
- Navigate the compliance landscape: AI Act, GDPR, sector regulations
- Prioritize use cases with a value / feasibility / risk lens
- Decide between building, buying, and integrating
Program
What AI can actually do for you today. Thirty minutes of grounding: how LLMs work in plain terms, what they’re reliably good at, where they fail — with one live demo of a hallucination appearing in real time. No hype in either direction.
The risk map. Hallucinations and how mature organizations contain them. Security: prompt injection, data leakage. Privacy and confidentiality: what your employees are already pasting into chatbots. Vendor lock-in and model deprecation.
Compliance, without the fog. The EU AI Act: risk categories and what they oblige you to do. GDPR and LLMs. What regulated sectors (health, finance, public) need on top. The documentation that auditors will ask for.
Strategy and ROI. Identifying and prioritizing use cases: a value / feasibility / risk matrix applied to your context. Build vs buy vs integrate. What AI actually costs (tokens, people, maintenance) and how to measure the return. The classic budget traps.
Roadmap and organization. POC → pilot → industrialization: the criteria for each gate, and the anti-patterns (eternal POCs, over-engineering). Emerging roles. Training the teams. Governance and usage policies that people actually follow.
Discussion. The whole briefing is interactive, anchored in your industry’s constraints — bring your real questions and current projects.
Practical details
- Half day, on site or remote
- Discussion-driven, anchored in your industry’s constraints
- Includes post-training follow-up calls to review your AI projects