Accelerate your transformation with Data and AI.
From strategy to implementation, I help SME and mid-market leaders with their AI & data initiatives. 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)
- Momentum: the recurring check-in 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
- Team AI foundation: 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, from diagnosis to ongoing follow-up
Packaged offers, then tuned to your context. Two entry points, two audiences: leaders and business teams on one side, the engineering team on the other.
Business
For leaders and business teamsAn assessment of how the company runs, use cases ranked by gain, and an arbitrated roadmap.
AI & process diagnostic
A full read of how your company actually runs, done with your teams: business processes mapped and frictions named, tools and systems in place, the state of your data foundation (quality, provenance, traceability). Only then, 6 to 10 use cases ranked by gain and by ease of implementation, 1 or 2 of them tested on your real data. The output is a costed, arbitrated roadmap where not everything runs through AI: sometimes it is a process to simplify, a tool to replace or a dataset to fix first.
AI Training
Tailored sessions for leaders and business teams, built on your own real use cases. OPCO-fundable, Qualiopi-certified.
Momentum
After the engagement, a recurring check-in to keep the momentum going: AI developments decoded for your context, a review of the use cases in place, priorities readjusted, and questions handled between sessions.
Talk
“AI in business in 2026”, around 40 minutes, in French or English, for leaders and decision-makers. Neither hype nor doom: the reading keys you need to decide.
See the talksTech
For the engineering teamAI-assisted development practices shared across the whole team.
AI & dev practices diagnostic
An assessment of your practices against a 4-level maturity grid, then 2 days of training and hands-on work on your real code and your real processes. The team practises during the engagement, on its own work.
Team AI foundation
What the team applies day to day: versioned context, shared skills, agents in place, risk-targeted reviews. It all lives in your repository, so it carries from one project to the next.
Part-time CTO
Shared technical leadership, 1 to 3 days a week: technical governance and IT steering, technology roadmap including the AI agenda, structuring and hiring for the team, training and embedding the new practices. I stand behind the trajectory.
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
Speech-recognition benchmark, live and catalogue subtitling brought into production, then IT steering, roadmap and team upskilling.
Two subtitling solutions in production, production capacity markedly increased, cloud infrastructure costs halved.
Artempo
Industry, custom manufacturing
AI diagnosis and strategy, then support across several projects, including the design of an AI-assisted business application.
Business application now in production and adopted by the team.
PR & influence agency
Influence, Bordeaux
Diagnostic and mapping of the business processes, solution benchmark and tool selection, Qualiopi-certified training, then support on the first use cases.
Team equipped and self-sufficient on the first processes, able to roll out the next ones without me.
CCI Corrèze
Institutional
Opening talk “AI in business in 2026” to an audience of executives.
Opened the 2026 General Assembly (Brive, May 2026).
LSDIAG
Property diagnostics
AI audit, automation quick wins, mail migration and mailbox rationalisation.
Client result notifications automated, first efficiency gains in production.
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.