Chief AI Officer · Fractional

A Chief AI Officer for your SME, without the cost of a full-time hire.

Your fractional AI director: 2 days per month, continuous oversight of agents, deployment of 1 to 3 new agents per quarter, seat on the executive committee. 6-month commitment. Cheaper than a full-time hire, zero HR risk, rare expertise.

  • 2 d/monthDedicated time
  • 6 monthsMin commitment
  • 1-3/qtr.New agents

What's in the package

A senior CAIO, 2 days per month

A full-time Chief AI Officer in a 50-employee SME costs 120 to 180K EUR per year fully loaded. The profile is nearly impossible to find in France: demand is exploding, supply is scarce (fewer than 200 profiles actually capable of deploying in production).

The fractional Chief AI Officer solves the problem: you get the same oversight, without the cost of a full-time hire, without the HR risk of a hire that doesn't pan out.

What I concretely do each month

  • Monthly executive committee: 1h30 to report on agents' KPIs, arbitrate the next projects, present the roadmap
  • Operational work: 1 day per month at your office (or remote) to deploy / adjust agents with your teams
  • Deployment: 1 to 3 new agents deployed per quarter, piloted end-to-end by Alexis
  • Continuous supervision: production agents are monitored, anomalies reported within 24h
  • Slack access: dedicated channel with Alexis for quick questions (reply within 4h during business hours)
  • Quarterly report: KPI summary, FTE-equivalent capacity gained, savings achieved, recommendations
2 d/month
Dedicated time
6 months
Min commitment
1-3/qtr.
New agents

The typical use case

An 80-employee SME in B2B distribution signed a 3-month Mission in January 2026. At the end of the mission, 5 agents are in production (SDR, Account Manager, meeting notes, email routing, CRM enrichment), generating the equivalent of 1 FTE of capacity gained. The SME decides to move to a fractional Chief AI Officer from March 2026 to keep deploying.

At 12 months, the system covers 14 processes. Calculated ROI: the equivalent of 3 FTEs of capacity gained (~180K EUR/year saved). Break-even at M+11, durable competitive advantage.

You're not buying a consultant. You're buying a continuous pilot, committed over time, who brings the rare expertise of an entrepreneur + tech + 95 agents in production profile. This profile normally costs 180K EUR/year. You get it for a fraction of that cost, with no HR risk.

What it actually delivers.

Internal proof from my own group. First external missions are underway — client cases will land here as they sign off.

Albus Factory9 people

Sales, growth, ops, project

“In 6 weeks, the team became managers of their own AI agents. Each person now focuses on higher-value work while AI handles the repetitive. Less than 50,000 EUR invested. This is the live lab of the method.”

  • 95agents shipped
  • 4FTE of capacity gained
  • 6 weeksto build
Boomrang Events11 people

MICE pipeline · brief → PPTX proposal

“Second company in the group, same method. Autonomous sales pipeline shipped in 2 weeks. Proof of reproducibility: memory is unique to each company, the architecture is universal.”

  • < 2hbrief → MICE proposal
  • 5h → 18 minaverage proposal time
  • 2 weeksto redeploy
Typical SME case20-500 employees

B2B services · distribution · logistics

“This third row isn't a client testimonial — it's the kind of mission I run today. Outcomes depend on context; the method is identical to what's deployed at Albus and Boomrang.”

  • On requestmission pricing
  • 3 monthsto deploy
  • 4-6×typical 12-mo ROI

Pick your format.

Format 01 / Entry

AI Audit

2 weeks. Mapping of your workflows, identification of 3-5 high-ROI projects, business case, prioritized roadmap. Deliverable: 15-20 page report + 2h debrief.

Deductible if Mission signed within 30 days

Format 01bis / Fast-track

Sprint Agent

2 weeks. Not a report: one AI agent in production on a use case we pick together, used by your team on a real workflow, plus a roadmap of the next 5 projects.

1 agent running in your company within 14 days

Recommended

Format 02 / Core

Transformation Mission

3 months. From audit to AI agents in production. I rebuild a core function of your organization around AI, then transfer to your team.

Typical ROI: 4-6x over 12 months

Format 03 / Ongoing

Fractional Chief AI Officer

Your Chief AI Officer without the full-time salary. 2 days/month, I govern your agents, deploy 1 new agent guaranteed each month, and attend your executive committees. 6-month minimum.

Format 04 / Keynote

Keynote & Masterclass

For conferences, executive committees, fund offsites. Concrete lessons on what works, and what doesn't.

On requestper session

Frequently asked questions

Everything about the fractional Chief AI Officer

What is a fractional Chief AI Officer?
A Chief AI Officer (CAIO) is the equivalent of a CTO dedicated to AI: they govern the AI strategy, supervise deployed agents, arbitrate new projects, train teams, and sit on the executive committee. Full-time in an SME, this is a 120-180K EUR/year fully loaded role, hard to recruit (rare profiles). 'Fractional' means 2 days per month dedicated to your company, by a senior CAIO, for a fixed monthly retainer.
How much does a fractional Chief AI Officer cost and what does the package include?
Pricing is quoted on request, as a monthly retainer with an initial 6-month commitment, renewable. The package includes: 2 days per month of support (monthly debrief to the executive committee + operational work on the agents), deployment of 1 to 3 new agents per quarter, supervision of existing agents, permanent Slack access for urgent questions, a quarterly report on KPIs and adjustments. More advantageous than a permanent hire (loaded cost ~12-15K EUR/month for an equivalent profile) and zero HR risk.
Which SMEs is this format suited for?
The Chief AI Officer format suits SMEs that have already started their AI transformation (via a Mission with Alexis or via their own teams) and want continuous oversight without hiring full-time. Typically: SMEs of 30-150 employees, 3-10 agents already in production, an internal tech team (at least 1 developer or ops), an executive committee that wants regular AI reporting. If you don't yet have any agent in production, start with the Audit or the Mission.
What's the difference with a simple consulting mission?
A consulting mission is time-bounded (3-6 months) and on a defined scope. The fractional Chief AI Officer is a continuous relationship: you have a permanent point of contact who knows your organization, your agents, your teams, your stakes. They arbitrate new projects as opportunities arise, adjust agents in production, take part in your strategic decisions. It's an operational relay, not a vendor you call for a project.
How many agents deployed per quarter?
1 to 3 new agents per quarter, depending on complexity. A 'simple' agent (meeting transcription, email routing, CRM enrichment) takes 2-3 weeks to deploy. A complex multi-agent system (autonomous SDR, SEO team) takes 1 to 2 months. The pace adapts to your quarterly priorities defined at the executive committee. Over 12 months, expect 6-10 new agents + adjustments to existing ones.
Can we combine a Mission + a Chief AI Officer?
This is the recommended scenario for SMEs that want to move fast. Typical pattern: Months 1-3, Mission to build the foundations (Memory + first 3-5 agents). From month 4 onward, switch to fractional Chief AI Officer to pilot the system and deploy new agents as they come. Over 12 months, a mature system covering 10-15 processes.
What if I decide to stop after 6 months?
No problem. The 6-month commitment is the minimum for the relationship to make sense (time for you to understand the value delivered and for the agents to stabilize). Beyond that, renewal is monthly and cancellable with 30 days' notice. All deployed agents are yours: code, documentation, technical access. You can take over in-house or switch to another vendor without lock-in.
Can the Chief AI Officer replace my CIO?
No. They are complementary, not a substitute. The CIO retains responsibility for global infrastructure (network, security, ERP, CRM, compliance). The Chief AI Officer focuses on the AI agents layer: multi-agent architecture, enterprise memory, integration with existing tools, governance of the data used by the agents. The two collaborate at the executive committee.

A 30-minute diagnostic.
Zero commitment.