Generative AI · AI agents · LLMOps · Governance · AI-assisted development
Take AI from demo to production.
I help executives, CIOs and technical teams turn generative AI into a practical resource (beyond an impressive demo that never gets deployed). Whether the question is the real value of agentic systems, the challenges of moving into production, or LLM security and governance, I help your audience make informed decisions.
The turning point
When demos are no longer enough...
After two years of discovery and experimentation, the challenge for businesses is no longer just AI literacy. It is putting generative AI to work so it finally delivers the promised productivity gains, which often remain elusive.
Choosing the right use cases, securing data, training teams, selecting tools, measuring results and deploying projects that are actually useful: these steps go well beyond a demo and call for a clear, structured approach.
My approach: connect leadership's vision with practical engineering to equip, deploy and supervise generative AI systems day to day, both internally and in customer-facing products.
What this means for you
A method to decide, scope and deploy.
Leadership, business teams, IT and engineers need a shared language to make these tools work.
Prioritise
Tell the gimmick, the quick win and the strategic project apart, using criteria that fit your organisation.
Anticipate
Separate exaggerated risks from those that too often get overlooked: data, security, costs, hallucinations, vendor dependence, access rights and accountability.
Deploy
Understand what happens between a developer's laptop and a customer's environment: LLMOps.
Align
Give every stakeholder, from executives and business teams to IT, legal, security and developers, a shared vocabulary for making decisions.
Services
Talks
Talks that help executives, CIOs and business teams understand what stands between AI experiments and deployment at scale.
- Practical AI governance
- AI proofs of concept and production
- Understanding AI agents
- AI-assisted development
AI training
One- and two-day courses to produce practical outputs, build skills around your real use cases and deploy generative AI with teams that stay in control.
- Generative AI in business: taking action
- LLMOps, RAG and agents in production
- AI-assisted development
AI consulting
Focused audits and short sprints to diagnose obstacles, strengthen an architecture and establish usage rules before AI projects lose direction.
- Production readiness audit
- RAG / agent architecture review
- AI governance sprint
Trusted by
A few figures
120+
Organisations supported
30+
Talks and speaking engagements
300+
Professionals trained
Testimonial (translated from French)
“Lilian delivered no fewer than 16 AI training sessions with ID4Mobility, reaching nearly 200 professionals, mainly in industry. His in-depth expertise, combined with a clear and accessible teaching approach, helped participants get to grips with these technological challenges. His energy and ability to illustrate concepts with relevant use cases made every session an important step in building AI literacy.
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About
Lilian Delaveau
Generative AI speaker & consultant
As an engineer, entrepreneur and AI speaker, I help businesses move from AI experiments to production: generative AI, agents, LLMOps, governance, security and team adoption.
My approach connects strategy with hands-on engineering: understanding use cases, anticipating risks, structuring data, choosing architectures, training teams and building systems that hold up in production.
Having founded deep-tech ventures and won an i-Lab award, I remain focused on turning technological promise into usable, measurable and robust systems. Technological innovation is a powerful asset when your organisation puts it to work.
