Pricing

How much does an AI consultant cost for an SME in 2026

Between the freelancer at 600 EUR/day who has never deployed an agent in production and the consulting firm that bills 300K for methodology, where to position. The real price of an AI transformation for an SME, all formats included.

The question comes up on every first call with an SME executive: how much does an AI consultant really cost in 2026? The honest answer is: it depends. But 'it depends' isn't a useful answer. Here are the real ballpark figures of the French market, by type of provider, with the pitfalls to avoid.

The AI freelancer - 600 to 900 EUR per day

The most visible segment on LinkedIn and Malt. Several hundred profiles in France in April 2026, according to plateya data. The median day rate sits between 600 and 900 EUR before tax, or roughly 12K to 18K EUR per month full-time.

What you get: individual tooling (ChatGPT setup, Copilot, internal training, one-off Make or Zapier automations), sometimes strategic management coaching. Useful to seed an AI culture in the team, for bounded projects.

The pitfall: 99% of these profiles have never deployed an autonomous agent in production. Their CV lists 'transformation missions' that, on closer inspection, are training and SaaS configuration. If your goal is to rebuild a business process end-to-end with autonomous agents, this is not the right interlocutor.

The consulting firm - 80K to 2M EUR per engagement

McKinsey, BCG, Bain, Wavestone, Artefact, Capgemini Invent, Accenture AI, Converteo. They mostly sell to large groups and mid-caps (above 1B EUR revenue). The entry ticket rarely starts below 200K EUR for an audit. A full transformation runs between 1 and 3 million euros.

What you get: a multidisciplinary team (3 to 10 consultants), a proven methodology, very polished decks, a structured roadmap, solid project management. Their strength is multi-client experience and the ability to steer complex transformations in large groups.

The pitfall for an SME: they don't deploy the agents themselves. They scope, prioritize, size, then leave implementation to a systems integrator or your IT team. You pay 200K EUR for a plan, then 400K EUR to a systems integrator to execute it. And the entry ticket is structurally incompatible with an SME of 50 employees.

The systems integrator - 700 to 1,200 EUR per day per profile

Capgemini Engineering, Atos, CGI, Sopra Steria, Devoteam, Quantmetry (Capgemini subsidiary since 2022). They take over from consulting firms for execution: integration into the IS, development, data engineering.

What you get: technical profiles that execute a specification document. Day-rate billing: 700 to 1,200 EUR per day per profile, or 15K to 25K EUR per month per dedicated consultant. A typical SME engagement starts around 150K EUR for 3-4 months.

The pitfall: you need a precise spec for them to be efficient. And they integrate tools, they don't restructure your organization. If you want an AI-First transformation (autonomous agents, memory, multi-agent architecture), it's not their core business.

The AI-First operational consultant - 6.5K to 75K EUR fixed price

A tiny segment in France in 2026: fewer than 20 profiles capable of really deploying an agent ecosystem in production, tested in their own companies. Alexis Prat is one of them, with 95 agents in production at Albus Factory and Boomrang Events.

The current catalog grid:

  • AI Audit: 6,500 EUR fixed price, 2 weeks - mapping + 3-5 quantified workstreams

  • Mission Phase 1 (Audit + Memory): 30,000 EUR, 6 weeks

  • Mission Phase 2 (Blueprint + Deployment + Handover): 45,000 EUR, 6 weeks

  • Full Mission Core (Phase 1 + 2): 75,000 EUR, 12 weeks (bundle)

  • Fractional Chief AI Officer: 10,000 EUR per month, 6-month commitment

  • Keynote / Masterclass: 2,000 to 5,000 EUR per appearance

What you get: an agent system in production, not a methodology. The code, documentation, accesses are yours. You can take it back in-house or hand it to another provider with no lock-in. The price is fixed, not by the day, so no overruns.

The difference is not on price, it's on what's delivered. A consulting firm at 200K delivers a plan. A freelancer at 800 EUR/day delivers training. A 75K fixed-price mission delivers code that runs.

The real comparison by delivered format

For an SME of 50 to 100 employees that wants to deploy 5 to 10 AI agents in production over 6 months, here are the comparative ballparks:

  • Hiring a senior Chief AI Officer: 150K to 180K EUR per year fully loaded, 6-9 month recruitment lead time, significant HR risk

  • Classic consulting firm (Wavestone + integrator partner): 250K to 500K EUR over 6 months, but oriented toward large enterprises

  • Solo AI freelancer: 70K to 120K EUR over 6 months, with high risk of fragile, non-scalable agents

  • Alexis Prat Mission Core + 3 months Chief AI Officer: 75K + 30K = 105K EUR over 6 months, mature system, transferred

The Mission Core is deliberately positioned between the freelancer (too light) and the classic consulting firm (too heavy for an SME). It precisely targets SMEs of 20 to 200 employees that need real deployment, not methodology.

A few questions to qualify your need

Before signing with anyone, ask these questions:

  • How many autonomous agents have you deployed in your own company or those of your partners?

  • Can you show me the code or architecture of a multi-agent system you delivered?

  • Who writes the code: you, your team, a subcontractor?

  • Who owns the code at the end of the engagement: the client or the provider?

  • How do you measure ROI: quantified upfront or assessed in post-mortem?

A consultant who dodges these questions will not deliver what you think you're buying. A consultant who answers with concrete examples in their own companies is a rare commodity in France in 2026.

The real selection criterion

Price is not the right criterion. The market average is rising (scarcity of good profiles) and will keep rising over the next 18-24 months.

The right criterion: how many agent systems in production has the provider already delivered? In how many different companies? With what measurable, public results? If the answer is 'zero', you're buying a promise. If the answer is 'several, with public numbers', you're buying a competence.

The cost of a bad AI consultant choice in 2026 is not the wasted budget. It's the 12 months of lag taken on competitors who chose right. In a market evolving at this speed, that lag cannot be made up.