What does an AI consultant cost in 2026?
Anywhere from $100 an hour to more than $1 million a project, depending on the shape of the firm you hire. Independent consultants typically bill $100–$300 an hour, specialist boutiques price projects from roughly $10,000 to $150,000, and the global firms start in the mid six figures.
That spread is not noise. You are buying genuinely different things at each tier: a person’s time at the bottom, a scoped build in the middle, and an institution’s process at the top. Our own prices sit at the low end of the boutique band and are published in full: an AI Readiness Audit runs $3,500–$8,500, and an AI Implementation Sprint runs $12,000–$45,000, quoted as a fixed price in writing before work begins. The rest of this guide shows you the whole shelf so you know what you are choosing between.
What do hourly AI consultants charge?
Independent AI consultants generally bill $100–$300 an hour, and specialists with deep machine-learning or data-engineering backgrounds run $200–$500. The rate is only half the number that matters; the other half is hours, and almost nobody quotes those in advance.
Run the arithmetic on a real project. A modest automation build — intake handling, invoice follow-up, a data sync — is commonly 150 to 400 hours of work once meetings, revisions, and testing are counted. At $250 an hour, that is $37,500 to $100,000, and you learn the true figure only when it stops climbing. Hourly billing is not dishonest; plenty of good people work this way. But the structure puts every unknown on your side of the table. When the project runs long, the consultant earns more. You would not let a contractor rebuild your kitchen on those terms.
The Ampersand essay The Currency of the Machine covers why AI work in particular resists time-based pricing: the costs live in tokens, tooling, and iteration, not in neat billable blocks.
What do the big firms charge for AI consulting?
Big Four and global-consultancy AI engagements commonly start around $250,000 and pass $500,000 before anything ships; multi-year transformation programs run into the millions. For an enterprise wiring AI through 40,000 employees and a compliance department, that can be entirely rational.
What you are paying for is scale and cover: layers of analysts, governance frameworks, and a brand that reassures a board. None of that is fake — it is just built for a different customer. A 30-person firm inside one of those engagements is a rounding error, and rounding errors get the junior team. As our pricing page puts it: our largest engagement costs less than their kickoff meeting. If you are 5 to 100 people, this tier is not your market, and being priced out of it costs you nothing.
What do boutique AI consultancies charge?
Specialist AI boutiques generally price by project: roughly $10,000–$50,000 for a scoped implementation, and $50,000–$150,000 for larger multi-workflow builds. This is the band where small and mid-size businesses should shop.
The variance inside the band comes from three things: how senior the people actually doing the work are, how much custom engineering the build needs, and how the firm handles risk. Watch the last one closely. Many boutiques quote a “project price” that is time-and-materials wearing a suit — an estimate, not a commitment, with a change-order pipeline waiting behind it. The test is simple: is the number fixed, in writing, before work begins? If the answer involves the word “typically,” it is an hourly engagement with better marketing.
How does the market compare, side by side?
Four tiers, one table. The ranges are typical market figures — what firms in each tier commonly charge — not quotes; the bottom row is our published price list.
| Who | Pricing model | Typical range | Built for | You learn the price |
|---|---|---|---|---|
| Independent consultant | Hourly | $100–$300/hr ($200–$500 for specialists) | Advice, small scoped tasks | Rate up front; total when it ends |
| Boutique consultancy | Project (often estimated, not fixed) | $10,000–$150,000 | SMB and mid-market builds | After discovery, sometimes fixed |
| Big Four / global firm | Engagement / retainer | $250,000–$1M+ | Enterprise transformation | After a proposal cycle |
| Main & Machine | Fixed price, in writing, before work begins | Audit $3,500–$8,500 · Sprint $12,000–$45,000 | 5–100 person businesses | Right now, on the pricing page |
Market ranges are typical 2026 figures for US firms, stated for comparison — not competitor quotes. Our row is the published list.
Why does fixed-price beat hourly for AI work?
Because AI projects carry more scope uncertainty than almost any other consulting work, and hourly billing hands every ounce of that uncertainty to you. A fixed price forces the seller to scope before selling — and scoping first is precisely the discipline that makes AI projects succeed.
The incentives are the whole story. An hourly consultant is paid for time spent; a fixed-price builder is paid for finishing. When the model misbehaves in week six — and some week, it will — one of those two parties absorbs the surprise. That is why our engagements start with the audit: two to four weeks of mapping where the hours actually go, so the sprint that follows is priced on knowledge instead of hope. The number is quoted in writing before work begins and does not move after we start.
Where do our prices sit, exactly?
At the published bottom of the boutique band. The AI Readiness Audit runs $3,500–$8,500 and takes 2 to 4 weeks; the AI Implementation Sprint runs $12,000–$45,000, fixed in writing, over 4 to 12 weeks — about 90 days per workflow; Managed Services is a monthly retainer with no lock-in.
Three things are deliberately not in those prices. There is no discovery-call gauntlet — the numbers are on one page, and you just read them. There is no strategy-deck line item; we implement, and a plan you cannot execute is a poster. And there is no dependency by design: your team is trained to run what we build, and you own all of it at handoff. If you want to see what the audit deliverable actually looks like before spending a dollar, two redacted pages of a real one are published. Every engagement starts with a free 30-minute assessment, and we reply within 24 hours.
How should a small business budget for AI in 2026?
Plan for roughly $15,000–$55,000 in year one if you build: an audit plus one implementation sprint, at our prices. Budget zero for strategy decks, and treat any year-one number above $150,000 as an enterprise price that wandered into the wrong meeting.
Two smaller lines belong in the budget too. Running costs: the tools and model usage behind a working system typically land between $50 and $500 a month for a small business — real money, but a fraction of what the manual work cost. If you are weighing whether a $25-a-month subscription is enough instead, that question has its own guide. And maintenance: models and vendors shift, so either someone in-house watches the system or a retainer does. Ours is monthly with no lock-in, priced by what is running.
Whether the build budget returns anything depends on your workflows, not the consultant’s slides — our ROI calculator shows the assumptions we use, in the open, and the audit exists to replace those assumptions with your real numbers. Sometimes the audit’s answer is “wait a quarter,” in writing, and the sprint money stays in your pocket. Before you spend anything, run the 20-point readiness checklist — it is free and takes an afternoon. And when you start taking meetings, bring the ten vetting questions to every one of them, including ours.