Your business, IT and data challenges, with AI as the accelerator.
I help SME and mid-market leaders from strategy to implementation. I don't just advise: I design, code and ship.
- Ambassador, “Osez l'IA”
- Co-leader, Data & AI stream (ENTER)
- CTO & co-founder of Callimac
From maturity audit to production deployment.
Three ways to work together
From a one-off diagnosis to outsourced technical leadership, the engagement adapts to your maturity and your stakes.
AI Consultant
From scoping to deployment
Identifying high-impact generative-AI and automation use cases, then taking them all the way to production.
- AI & process diagnostic: frictions, data foundation and ranked use cases
- Scoping of priority use cases and an arbitrated roadmap
- Design, development and production rollout
- Governance & AI Act compliance (risk mapping, charter)
- Business-team training (Qualiopi-certified, OPCO-fundable)
- Ongoing AI follow-up after the engagement
Part-time CTO
Outsourced technical leadership, 1 to 3 days a week
Full technical leadership for organisations that have none, the AI agenda included. Vision and steering, down to the infrastructure and its bill: at one client, cloud costs halved with zero production impact.
- Technical governance and IT steering
- Technology roadmap & trade-offs, AI agenda included
- Steering teams and vendors
- Trusted tech counterpart to the CEO
- Training and embedding the new practices
- Cloud cost optimisation (FinOps)
Tech team structuring
Industrialisation & upskilling
Structuring your AI-assisted development practices and equipping your teams, so that practices are the same from one developer to the next.
- AI & dev practices diagnostic: an assessment on your real codebase
- Shared AI-assisted dev framework: versioned context, shared skills, agents
- Tooling onboarding (Cursor, Claude, Jira/Confluence)
- Risk-targeted reviews and an AI-assisted dev process
- Recruitment support for tech profiles
Scoped formats, depending on who is in the room
Packaged offers, then tuned to your context. Every diagnostic tests use cases on your real data, and implementation is carried out by the person who recommended it.
Leadership
For the CEO and leadership teamUnderstand where the company stands, set the priorities, hold the course over time.
AI & process diagnostic
Format : 2 days on site + debrief with leadership
A full read of how your company actually runs, done with your teams, before talking about AI.
- Processes mapped and frictions named
- Tools, systems and data foundation (quality, provenance, traceability)
- 6 to 10 ranked use cases, 1 or 2 tested on your real data
A costed, arbitrated roadmap where not everything runs through AI: sometimes a process to simplify or a tool to replace first.
Leadership workshop: deciding with AI
Format : Half a day or a full day
A working session so the leadership team shares the same reading of AI and settles its priorities.
- What AI changes in your sector, with live demos
- Your challenges screened: where AI helps, where it does not
- Governance, risks and the AI Act framework
A shared vision and arbitrated priorities.
Ongoing AI follow-up
Format : A regular check-in, at your pace
After the engagement, keep the momentum and stop the roadmap from ageing.
- AI developments decoded for your context
- Review of the use cases in place, priorities readjusted
- Questions handled between sessions
An up-to-date roadmap, and a counterpart who knows your context.
Business teams
For your staffFrom curiosity to real use, on everyone's actual work.
Training: AI in your line of work
Format : Half a day or a full day · Qualiopi-certified, OPCO-fundable
Tailored sessions, built on your teams' own real use cases.
- Getting started with the tools, good prompting habits
- Exercises on your own documents and tasks
- Limits, risks and usage rules
Teams that can run their first use cases on their own.
Talk
Format : Around 40 minutes · in French or English
“AI in business in 2026”. Neither hype nor doom.
- Seminars and conventions
- Executive clubs and client events
- Live demos
The reading keys you need to decide.
Engineering team
For your developersAI-assisted development practices shared across the whole team.
AI & dev practices diagnostic
Format : Assessment + 2 hands-on days with the team
Measure where the team stands, then practise on your real code and your real processes.
- A 4-level maturity grid
- 2 days of training and hands-on work, OPCO-fundable
- The team works on its own topics during the engagement
Measured practices and a team already up and running.
Shared AI-assisted dev framework
Format : Set up in your repository, following the diagnostic
Turn individual gains into a team practice that carries from one project to the next.
- Versioned context and shared skills
- Agents in place
- Risk-targeted reviews
A framework that lives in your repository, not in one developer's head.
Part-time CTO
Format : 1 to 3 days a week, over several months
Shared technical leadership, the AI agenda included. I stand behind the trajectory.
- Technical governance and IT steering
- Technology roadmap, AI agenda included
- Team structuring, hiring and embedding practices
A trusted tech counterpart, committed for the long run.
- 1
A first conversation
Clarify the context and the stakes, with no commitment.
- 2
A diagnostic
On the leadership side or the engineering side, depending on where things are stuck.
- 3
Train, implement, follow up
Team training, implementation of the priorities, then ongoing follow-up if you want it.
AI Act and GDPR compliance: a strand built into every engagement, never sold on its own. It is handled as the engagement goes, alongside the use cases it governs.
A fixed fee agreed upfront rather than metered time and materials. Funding available where it applies: your OPCO through a Qualiopi certification, or the Bpifrance Diag Data IA scheme.
Tech Ă— AI Ă— Business, not a pure-play AI firm
18 years of IT and delivery, running a business unit, business processes and steering. AI accelerates, provided you know the business, the processes and how to ship.
Tech Ă— AI Ă— Business
Large programmes, PMP, ScrumMaster and Product Owner, then founding and leading a 20-person Data/AI practice. I know the business, the processes and the execution, not just the models.
I stand behind what I recommend
I design the trajectory and I can ship it: I code when it's relevant, and steer delivery otherwise. What I recommend goes through a POC before being industrialised.
A clear scope from day one
Objectives defined from the start and a well-framed proposal: approach, timeline, deliverables, fixed fee agreed upfront. You know where we're going and what you'll get.
Plugged into the AI ecosystem
Ambassador for “Osez l'IA”, co-leader of the Data & AI stream at the ENTER cluster: I'm plugged into France's AI dynamics.
Recent engagements and what they produced
A selection of recent engagements, from diagnosis to deployment.
Blue Elements
Audiovisual, broadcast subtitling
- AI & dev practices diagnostic
- Part-time CTO
Speech-recognition benchmark, live and catalogue subtitling brought into production, then IT steering, roadmap and team upskilling. Part-time CTO since September 2026.
Two subtitling solutions in production, production capacity markedly increased, cloud infrastructure costs halved.
Artempo
Custom-made personalised products
- AI & process diagnostic
- Implementation
AI diagnosis and strategy, then support across several projects, including the design of an AI-assisted business application. New engagement in 2026 on project management processes.
Business application now in production and adopted by the team.
CTer&co
Communication and influence agency, Bordeaux
- AI & process diagnostic
- Training
- Implementation
Processes mapped and prioritised, AI charter adopted, tool comparison and secure rollout, Qualiopi-certified training on the agency's real files, then shared skills and management tools for the founder.
One tool, one framework, one shared way of working: the team has what it needs to move forward on its own.
CCI Corrèze
Institutional
- Talk
Opening talk “AI in business in 2026” to an audience of executives.
Opened the 2026 General Assembly (Brive, May 2026).
LSDIAG
Asbestos sampling
- AI & process diagnostic
- Implementation
They came for AI; the diagnostic prioritised two projects that weren't: email migrated and streamlined, client result notifications automated.
First efficiency gains in production, without AI where it wasn't the right answer.
Callimac
AI SaaS
Co-founder and CTO: architecture, AI development of the product and production rollout on French sovereign cloud.
AI managerial coaching platform in production.
A career built alongside major accounts, mid-market companies and SMEs
Callimac, the AI managerial-coaching SaaS
Beyond advisory, I build. Callimac democratises managerial support for 100% of managers: an AI assistant contextualised to the company.
- Equips managers in their key situations
- Strengthens posture, reduces isolation
- Conversational AI, coaching, training and analytics combined
SaaSThe AI assistant that guides your managers day to day
Cyril Sacenda
AI, Data & Digital Transformation Consultant · Part-time CTO
18 years in IT. Engineering degree from EFREI (2008), PMP-, ScrumMaster- and Product Owner-certified.
A career at Sopra Steria (tech lead, project manager, project director, PMO, Proxy PO on large programmes), then building and leading the Data/AI practice at Talan Nouvelle-Aquitaine (~20 people, €1.6M revenue).
Today an independent consultant and co-founder & CTO of Callimac. I put AI, and generative AI in particular, to work for the business, from strategy all the way to deployment.
Thoughts on applied AI
Concrete analysis on AI in business, shipping to production and data transformation.
Frequently asked questions
Everything a leader wonders before getting started.
Got a project in mind? Let's talk.
Diagnosis, implementation, technical leadership or training: let's discuss your AI & data challenges.