What does an AI readiness assessment actually cost in 2026?

If you are a CEO of a mid-market company in Europe and you typed "AI readiness assessment" into a search engine this week, you got three different answers.

One said it costs around €10,000 and takes eight days. That was the Bpifrance diagnostic, the French public investment bank's subsidized program for SMEs. A consultant goes in, maps the situation, delivers a report. Eight days. Ten thousand euros. The government covers most of it.

Another said €50,000 to €150,000 and takes six to ten weeks. That was a Big Four or large consultancy proposal. A team. A methodology. A deck. A roadmap that nobody will execute.

A third said something in between, from a boutique firm or a solo consultant. €15,000 to €40,000. Two to four weeks. A named person, not a brand, doing the actual work.

All three are real. All three are called the same thing. None of them are the same product.

The Bpifrance model is the closest thing to a public utility for AI diagnostics. A standardized framework, a vetted consultant, a fixed price, a fixed timeline. It is designed to get a company from zero to informed. The report tells you where you stand, what your risks are, and what your options look like. It does not tell you what to build on Monday morning.

That is not a flaw. That is the scope. It is a diagnostic, not an implementation plan. The eight-day constraint means the consultant cannot go deep into every process. They survey, they identify, they prioritize. For a company that has never looked at AI systematically, it is a reasonable starting point.

The limitation is what happens after. The report lands on the CEO's desk. The recommendations are clear. The execution is not. Most companies stop there. The diagnostic becomes a shelf document. Something they can point to when someone asks if they are working on AI.

That is not cynicism. That is what the data shows about consulting outputs in general. A map is not a journey.

The Big Four model is a different animal entirely. The price reflects the brand, the team size, the methodology, the liability coverage, and the overhead of a global firm. What you get is thoroughness and a network. What you do not necessarily get is speed or a person who will hold accountability for the result.

The deliverable tends to be a comprehensive assessment with a multi-year roadmap, maturity scores, and recommendations grouped by priority. The work is real. The people doing it are competent. The gap is in what comes after the engagement ends. The team leaves. The report stays. The company is left with a plan and no builder.

There is a structural reason for this. Large consultancies are designed to diagnose and recommend. Implementation is a different business model with different margins and different risk profiles. Most of them are not set up to do both on the same engagement, at the same price, with the same team.

That is not a criticism. It is an observation about how the industry is structured. If you need the brand, the governance framework, or the multi-year transformation architecture, the Big Four model makes sense. If you need someone who will map the processes, design the systems, and stay accountable for the result, you are looking for something else.

The boutique model sits between these two poles. A smaller team, sometimes a single senior consultant, a fixed scope, a defined deliverable. The price varies widely because the quality varies widely. Some boutiques produce the same shelf documents as the large firms, just with fewer slides. Others produce something closer to an actual blueprint for what to build.

The differentiator is whether the person doing the assessment has built things. Not studied them. Not recommended them. Built them. Deployed them. Found out what was wrong with the plan and fixed it.

There is a difference between a consultant who knows what AI can do and a consultant who has made it work inside a company. The first can write a report. The second can tell you where the data is actually stored, which process has the most undocumented steps, which person in the organization is the only one who understands how something works, and what will break if you change it without talking to them.

Here is what Solve IT charges for an AI readiness diagnostic, called a War Map. €9,500. Six weeks. Fixed price. No hidden phases. The deliverable is not a report. It is a prioritized intervention plan: what to build, what to kill, what to launch in 30, 60, and 90 days. The War Map fee is credited against implementation if the company moves forward. The total engagement typically runs four to six months.

The pricing is transparent because the alternative is not. The industry is full of assessments that start at one price and expand into multi-phase engagements that cost five or ten times the original estimate. That is a business model. It is not the only one.

The guarantee is also specific: if the War Map does not produce a clear next step the CEO wants to execute, the fee is multiplied by five and returned. That is not a marketing claim. It is a risk reversal. It means the diagnostic has to work, or it costs the company nothing and costs me five times the fee.

The question you should ask before paying anyone for an AI readiness assessment is not what is the price. It is what happens on day one after the report lands.

Does the person who wrote it stay to build the first thing? Do they know where the data actually lives, not where the IT diagram says it lives? Have they deployed something similar in a company your size, with your mix of legacy systems and informal processes? Can they show you a specific example of a process they mapped, a system they designed, and a result they held themselves accountable for?

If the answer to any of these is no, you are not buying an assessment. You are buying peace of mind. There is nothing wrong with that, as long as you know what you are buying.

The Bpifrance diagnostic gives you informed awareness. The Big Four assessment gives you a comprehensive framework and board-level confidence. The boutique engagement gives you a focused perspective from someone who may or may not have built things. The Solve IT War Map gives you a prioritized action plan from someone who stays to execute.

None of these is wrong. They are different products for different stages of readiness.

The cost of getting it wrong is not the fee. It is the six to eighteen months of inaction that follows a diagnostic that produced analysis but no next step. That is the real price. And it is the most expensive one.

If you are evaluating options, the question is not what does an AI readiness assessment cost. The question is what happens after.

That is the thing worth knowing before you sign anything.