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February 6, 2026·Poyan Karimi

How Much Does an AI Consultant Cost? A Transparent Guide

TL;DR

AI consulting costs vary enormously — from a few hundred pounds for an online course to hundreds of thousands for a full enterprise strategy engagement. The price difference reflects different models, different deliverables, and very different outcomes. This guide breaks down what the main AI consulting formats cost, what they actually deliver, and how to calculate whether any investment is worth it for your company. We also share our own pricing model openly — fixed price for the Kickstart workshop, monthly fee for ongoing Partner support — because we think transparency is the right default.

Why AI Consulting Pricing Is So Confusing

Because "AI consulting" covers wildly different things — and most providers aren't transparent about what you're actually buying.

A £500 AI course and a £200,000 AI strategy engagement are both "AI consulting." They share almost nothing else in common. The first delivers video content. The second delivers a strategy document. Neither is guaranteed to change how your team actually works.

The question that should drive every pricing decision isn't "how much does this cost?" It's "what will be different about how my team works after this?" If you can't get a clear answer to that question, the price doesn't matter — because you're not buying what you think you're buying.

The Main AI Consulting Formats and What They Cost

Online courses and self-serve learning

Typical cost: £0–£500 per person

What you get: video lessons, exercises, possibly a certification. The learner works at their own pace and applies what they learn independently.

What you don't get: any guarantee that behavior changes. Completion rates for corporate online courses are typically below 30%. Of those who complete, a fraction apply what they learned in their daily work. Self-serve learning is the cheapest option and has the lowest adoption rate.

Best for: motivated individuals who learn well independently and have already identified specific use cases they want to develop.

General AI training session (lecture format)

Typical cost: £2,000–£8,000 for a team session

What you get: a trainer who explains AI concepts, demonstrates tools, and shares prompting tips with your team. Usually a half or full day.

What you don't get: role-specific application or post-session support. Participants leave more informed but without having built anything for their specific job. Adoption at 30 days is typically low.

Best for: raising baseline awareness before a more substantive program. Not sufficient on its own if behavior change is the goal.

Hands-on AI workshop (build format)

Typical cost: £5,000–£20,000 for a team session

What you get: a session where every participant builds AI tools for their actual role. Includes preparation work to map your team's workflows, facilitation of the session, and at minimum some post-session materials.

What you don't get at the lower end: ongoing support after the session. The quality of the session design varies significantly at this price point — ask specifically whether every participant builds something for their specific role, or whether it's a more general hands-on exercise.

Best for: companies that want genuine adoption, not just awareness. The most cost-effective format for producing behavior change when combined with post-session support.

AI strategy consulting

Typical cost: £20,000–£200,000+

What you get: a comprehensive engagement including discovery, maturity assessment, strategy document, roadmap, and typically a series of executive workshops and stakeholder presentations. Delivered by a team of consultants over weeks or months.

What you don't get: guaranteed adoption. Strategy consulting is optimized for producing a strategy, not for changing how employees work. The gap between a good AI strategy and actual AI adoption is large and is not closed by the consulting engagement itself.

Best for: large organizations making significant infrastructure investments who need strategic clarity before committing. Not the right format for mid-size companies whose primary challenge is adoption, not strategy.

Ongoing AI deployment support

Typical cost: £1,500–£8,000 per month

What you get: a dedicated AI partner who supports your team after an initial workshop — answering questions, introducing new use cases, tracking adoption, and sustaining momentum through the critical 30–90 day window.

What you don't get: the initial behavior change. This format works best as a follow-on to a hands-on workshop, not as a standalone.

Best for: companies who have completed an initial workshop and want to ensure adoption compounds rather than decays.

How Deployed Prices

We believe transparent pricing is the right default. Here's exactly how our model works.

Deployed Kickstart — Fixed price

The Kickstart is a full-day hands-on workshop for your entire team. Fixed price. One invoice. No day-rate surprises, no scope creep, no additional charges for preparation or materials.

We charge a fixed price because we think it's the right model for mid-size companies. You know the investment before you commit. We're incentivized to run an efficient, high-quality session rather than to extend the engagement.

The price is the same whether your team is 20 people or 150. We'll tell you the price directly when you reach out — we don't publish it publicly because we occasionally adjust based on sector and geography, but we'll give you a clear number in the first conversation.

Deployed Partner — Monthly fee

After the Kickstart, most clients move into the Partner program — ongoing AI support for the 60–90 days when new habits either stick or fade.

Monthly fee. Cancel when your team is AI-native. No minimum commitment beyond the first month.

The goal of the Partner program is to make itself unnecessary. We're building your team's self-sufficiency, not a recurring revenue stream. Most clients reach genuine AI-native status — where they're finding new use cases independently and don't need our support — within 90 days.

When that happens, we celebrate and you cancel. That's the outcome we're optimizing for.

How to Calculate Whether the Investment Is Worth It

Work backwards from the value of recovered time, not forwards from the cost of the engagement.

Step 1: Estimate how many hours per week your team currently spends on tasks AI can compress — writing, summarizing, researching, formatting, drafting communications, processing data. For most knowledge-work teams, this is 30–50% of total working hours.

Step 2: Apply a 50% reduction assumption. Conservative for well-adopted AI tools on the tasks listed above.

Step 3: Calculate the weekly value of recovered time. Hours saved × fully-loaded hourly cost per employee × number of employees.

Step 4: Compare to the annual cost of the consulting investment.

Example for a 30-person company:

  • Average 3 hours saved per person per week (conservative)
  • 30 people × 3 hours × £40/hour = £3,600/week
  • Annual value: £187,000
  • Kickstart investment: £X (we'll tell you)
  • Payback period: typically 2–4 weeks

The numbers make the investment straightforward for almost any company above 15–20 people. The variable isn't whether the ROI is there. It's whether the workshop actually produces the adoption that generates it.

That's why the quality of the methodology matters more than the price of the engagement. A cheap workshop that produces no lasting adoption has negative ROI — the direct cost plus the damage to future adoption efforts. A well-designed workshop with post-session support has a payback period measured in weeks.

The Question Worth Asking Every Provider

"What will be different about how my team works 30 days after your engagement ends?"

If the answer is vague, the engagement is not designed around that outcome. If the answer is specific — hours saved per person per week, number of use cases per employee, adoption rate across the team — the provider has real-world data and a methodology designed to produce it.

That question, and the quality of the answer, is more predictive of value than any price comparison.

FAQ

How much does an AI consultant cost? AI consulting costs range from a few hundred pounds for self-serve courses to £200,000+ for enterprise strategy engagements. The most relevant format for mid-size companies — a hands-on workshop with post-session support — typically costs £5,000–£20,000 for the initial session plus a monthly fee for ongoing support.

Is an AI consultant worth the money? For most companies with 20+ employees, yes — when the engagement is designed around behavior change rather than strategy delivery. A team of 30 saving 3 hours per person per week generates approximately £187,000 in recovered capacity annually. The payback period on a well-designed workshop is typically 2–4 weeks.

What's the difference between expensive and cheap AI consulting? Price differences reflect different models: strategy vs. implementation, generic vs. role-specific, one-day vs. ongoing support. The most important variable isn't price — it's whether the engagement produces lasting behavior change. A cheap workshop that nobody applies is worth less than nothing.

How does Deployed price its services? Fixed price for the Kickstart workshop. Monthly fee for ongoing Partner support. We'll give you a clear price in the first conversation — we don't publish it publicly because we occasionally adjust based on sector and geography, but transparency is our default.

Why does Deployed offer a monthly cancellable Partner program? Because the goal is your team's independence, not our recurring revenue. We build toward the point where you don't need us — where AI use is habitual and self-sustaining across your organization. Most clients reach that point within 90 days. When they do, they cancel. That's the outcome we're optimizing for.

How do I evaluate whether an AI consulting proposal is good value? Ask what will be different about how your team works 30 days after the engagement ends. Ask for specific numbers — hours saved per person per week, adoption rate at 30 days. If the provider can't answer specifically, they don't have real-world data to back up their claims.