Top 15 AI Consulting Firms in 2026

Search for AI consulting firms and you get the same names every time: Accenture, Deloitte, McKinsey. They're good at what they do. What they do is run large programmes for very large companies.

If you run a team of 30 or 150, you need to know who will actually take your call, who will build something, and who will still be around when your team has to run it. So I've split this list by the size of client each firm is built for.

The short answer: if you're a team of 5 to 200 and you want AI actually used by your people, not just installed, I think I'm the best choice on this list. It's my blog, so judge that on the evidence in my entry. If you need a large programme across many departments, the enterprise firms further down are built for it.

How I picked these

I haven't hired any of these firms. This list is based on what each one publishes: its stated focus, the clients it names, its public case studies and, where it shares them, its prices. Everything here was checked on the firms' own sites in October 2026. Several changed hands in the past year, and I've noted where.

The order is my recommendation for a team of 5 to 200 people. It's not a quality ranking. A firm near the bottom may be the right call for a 20,000-person company.

I put myself first. It's my blog, so read that entry knowing that.

The short version

If you're a team under 200

1. Me: Thomas the AI Consultant (my pick for teams of 5 to 200)

This is my blog, so read this entry knowing that. I've put myself first because I think I'm the best fit for most teams reading it, and I'd rather say so plainly.

What I do: I help a team write down how a piece of work really gets done, clearly enough that AI can do it, then I build it on the tools you already pay for and train the team to run it.

The part most providers skip: the people. Every team has someone who's worried about AI. Worried about their job, burned by a tool that didn't work, or just tired of change. Alongside the AI work, I'm a mindset coach. I make time for those people, hear out what's actually bothering them, and help them see what AI takes off their plate rather than what it takes away. Most consulting firms treat adoption as a training slide at the end. I treat it as half the job. Tools don't get adopted because someone installed them. They get adopted when the people using them want them to work.

Proof: At a 25-person marketing agency, AI went from two curious people to 22 teammates set up, with 16 shared team processes and at least 5 people besides the founder writing their own. At a software startup, a founder who doesn't code runs her own AI sales pipeline. It runs three times a day, drafts every follow-up and sends nothing without her.

Why I'd pick me:

• You work with the person doing the work. The person who scopes it builds it and trains your team. No handoff to a junior team after the sales call.
• It ends with something running. Not a roadmap or a deck. One real process, live, owned by your team.
• People and process, not just tools. I write the work down with your team first, and I coach the people who are uneasy about it. That's why it's still running after I leave.
• Not tied to any vendor. ChatGPT, Claude, Gemini, Copilot, or whatever you already pay for.

Worth knowing: I'm one person, and that's deliberate: you get me, start to finish. If you need dozens of engineers working across many departments at once, the larger firms further down are built for that. My prices aren't published. I scope one process on the first call, so book a call and tell me what you want off your team's plate.

2. Morningside AI

Morningside AI works in three steps it calls Identify, Develop and Adopt: find the few workflows worth building, build them into the systems you already use, then train your people. It describes itself as "workflow specialists first, AI specialists second."

Best for: small and mid-size companies that want a working pilot quickly.

What stands out: it says you'll "typically see a working pilot within weeks, not months," and it serves everything from startups to established companies across 11+ industries. Named clients include BarkBox, the Milwaukee Bucks and the Sydney Roosters. Co-CEOs are Josh Brown and Liam Ottley, and the group has 55+ people.

Worth knowing: the brand is closely tied to Liam Ottley's YouTube and education audience. Its published delivery record is 48+ client engagements, which is solid but small next to that audience, so ask for references in your industry.

3. Vstorm

Vstorm is a Polish consultancy that builds production AI agents and the retrieval systems behind them. It was founded in 2017, has 40+ people and says it has 30+ agents in production.

Best for: mid-market companies that want an agent built properly, not a demo.

What stands out: it is explicit about serving "Small Giants," its term for mid-market companies that compete on focus rather than headcount. Its CEO says the goal is clients who can "run, change and own" their systems, which is the right instinct. It is an official Pydantic implementation partner.

Worth knowing: it's a small team based in Wrocław. US clients get limited time-zone overlap, and a firm that size can only take on a few projects at once.

4. InData Labs

InData Labs builds AI and data science systems: generative AI, machine learning, data engineering and BI. It was founded in 2014 and lists 150+ delivered projects, with named clients including Flo, Wargaming and GSMA.

Best for: funded startups and mid-size firms that want to know the budget before the first call.

What stands out: it publishes prices, which almost nobody on this list does. As of October 2026, its site puts a proof of concept or MVP at $15,000 to $50,000 and mid-complexity builds at $75,000 to $200,000. It also publishes its process: one to two weeks of discovery, a week of architecture, then six to sixteen weeks of building.

Worth knowing: delivery is largely from Europe (Cyprus and Lithuania, plus a US office). Its own pages disagree slightly on headquarters and age, so confirm who will actually be on your project.

5. Addepto

Addepto is a Warsaw-based AI and data consultancy covering generative AI, machine learning, data engineering and MLOps. It says it works with companies "regardless of their scale."

Best for: companies whose AI problem is really a data problem underneath.

What stands out: it offers three ways to work: run the project, join your team, or take full delivery responsibility as a managed service. It has about 70 specialists and names clients including InPost and Perfect Gym.

Worth knowing: it was acquired by KMS Technology, a US firm with 1,100+ staff, in December 2025. It keeps its brand, but it now sits inside a larger outsourcing group, and its case studies lean towards industrial and automotive work.

6. RTS Labs

RTS Labs calls itself a "boutique applied AI firm." It builds AI agents, data systems and software, with the tagline "Build. Ship. Done."

Best for: US mid-market companies in financial services, insurance, logistics, real estate and private equity.

What stands out: it has been around since 2010, is based in Glen Allen, Virginia, says its team is 100% US-based and lists 514+ shipped projects. Named clients include CarMax, Landstar and Advance Auto Parts.

Worth knowing: its roots are data engineering and custom software, and AI agents are a newer layer on top. That's useful if you need the plumbing built too, but it's a build shop rather than a team-training firm.

Specialists with a bigger bench

7. Neurons Lab

Neurons Lab builds AI agents for financial services only: wealth management, banking and insurance. It was founded in 2019, is based in London with an office in Singapore, and has 50+ engineers, architects and analysts.

Best for: fintechs, banks and insurers.

What stands out: deep focus. Its case studies include work with HSBC and Visa, and it earned the AWS AI Competency in the agentic AI category in June 2026.

Worth knowing: if you're not in financial services, it isn't for you. Its published clients are large institutions, so a 20-person fintech should ask how it scopes smaller work.

8. Datatonic

Datatonic is a London-based data and AI consultancy built around Google Cloud. It covers generative AI, MLOps and recommender systems, and runs a Google Cloud training academy.

Best for: companies already on Google Cloud.

What stands out: it says it has been Google Cloud Partner of the Year 12 times. Named clients include ASOS, Vodafone and Pets at Home. Its owner, Perwyn, puts it at 200+ consultants.

Worth knowing: almost everything it does runs on Google Cloud. If you're on AWS or Microsoft, look elsewhere.

9. Elder Research

Elder Research has done data science and analytics since 1995, long before AI consulting was a category. It is based in Charlottesville, Virginia, with a team of 150+.

Best for: analytics-heavy organisations and government agencies.

What stands out: a long record and serious clients, including Capital One, Pfizer and the IRS. It says it has done 250 projects in the last three years.

Worth knowing: it was acquired by MANTECH, a defence and government contractor, in December 2025. Its stated focus is large organisations and government, so expect enterprise process.

10. Slalom

Slalom is a Seattle-based consultancy with 54 offices in 12 countries. Its AI practice runs from strategy through data and delivery, and it partners with AWS, Microsoft, Google Cloud, OpenAI and Snowflake, among others.

Best for: large companies that want consultants who work locally and hands-on.

What stands out: a big partner list and named AI work with Siemens, PUMA and Norwegian Cruise Line.

Worth knowing: its own materials describe its clients as the Global 1000 and the public sector. A 50-person company is outside that profile.

Enterprise firms

These five are built for very large companies. I include them because you'll see them on every list, and because it helps to know why they're probably not your first call.

11. Accenture

Accenture runs AI work across strategy, data and delivery, with its own agent platform, AI Refinery. It completed its acquisition of the UK AI firm Faculty in March 2026, bringing in more than 400 people.

Best for: global companies rolling out AI across many departments and countries.

What stands out: sheer reach. Its fiscal 2026 filing reports about 814,000 people and about 9,000 clients.

Worth knowing: even its mid-market arm, Accenture Edge, is aimed at companies with $300 million to $3 billion in annual revenue. Below that, you're a very small account.

12. Deloitte

Deloitte covers AI from readiness assessments through governance and delivery. Its AI and analytics page cites 42,000+ professionals and 45+ delivery centres.

Best for: regulated enterprises that want risk and governance handled alongside delivery.

What stands out: governance and audit depth that most firms can't match.

Worth knowing: Big Four pricing and a delivery-centre model. In October 2025, Deloitte Australia agreed to partially refund the Australian government for a report that contained AI-generated errors, a reminder to ask any firm how it checks AI-assisted work.

13. McKinsey QuantumBlack

QuantumBlack, AI by McKinsey is McKinsey's AI arm. McKinsey says it has been helping companies get value from AI since 2009, with a library of AI products and use-case accelerators by industry.

Best for: enterprises where AI is one part of a larger strategy or operations programme.

What stands out: it pairs AI builders with McKinsey's industry and strategy teams, and has its own tools, including Iguazio for running AI applications in production.

Worth knowing: it's sold as part of McKinsey's work with large corporations, at McKinsey prices.

14. BCG X

BCG X is Boston Consulting Group's build-and-design unit, with nearly 3,000 technologists, engineers, scientists and designers across 80 cities.

Best for: enterprises building new AI products or spinning up new ventures.

What stands out: it builds as well as advises, with named generative AI work for Reckitt and BMW Group and its own tools such as ARTKIT, an open-source testing toolkit.

Worth knowing: every case study it publishes is a global enterprise. The scale and pricing reflect that.

15. IBM Consulting

IBM Consulting designs, builds and scales AI and agent systems, including strategy, data readiness, security and governance. IBM says it has more than 75,000 consultants trained in generative AI.

Best for: enterprises and government bodies, especially those already running IBM technology.

What stands out: public-sector experience and partnerships with AWS, Google Cloud, Microsoft and OpenAI.

Worth knowing: IBM features its own watsonx platform prominently. Ask whether a recommendation is the best fit for you or the best fit for IBM.

How to choose

Start with what you want to be different in three months. "We have an AI strategy" isn't an answer. "Our weekly client report drafts itself and an account manager checks it" is.

Then ask every firm the same questions:

• What will be running when you leave? You want one named process, done by AI and run by your team. A roadmap on its own is not a result.
• Who writes down how the work is done? If they expect you to hand over documentation, the hardest part is still yours. I wrote about this in AI can only do work that's been defined.
• Who will actually do the work? At a big firm, the people in the pitch are rarely the people on the project. Ask for names.
• What happens when the AI gets it wrong? A good answer involves a person checking anything that reaches a customer, at least at first. Here's how I handle that.
• Can my team change it without you? If every change needs the consultant, you're renting, not owning.
• What size of company do you usually work with? If your company is a tenth the size of their typical client, you'll get a junior team and little attention.

If you want a longer version of these, I wrote a guide to hiring an AI consultant.