Where are you: idea, first customers, scaling? The best AI consultant for a startup founder changes with that answer: DFW CTO or Got AI for a first prototype, Comtau between pre-seed and Series A, Data-Mania once growth stalls. Lilach Bullock, the author, sits on this list as well, at the marketing end.
Pick by stage first and by kind of help second. A founder with an idea needs a fast prototype, a founder with a demo needs someone to own the architecture, a funded company needs an outside check or a firm with depth, and once the product works the gap is usually growth, not code. Nine advisers made the list, each because its own site says it works with startups or founders, and every line about them comes from that site as of Nov 2026. I'm on it too, at the marketing end. That's a conflict, so check my claims as hard as theirs.
The AI tools startups use list covers the software side, and my notes on choosing an AI consultant go wider than founders. This page is about one decision: who you let near your product while it's still young.
AI as the product, or AI as a tool?
This is the fork that decides everything else, and founders blur it all the time. If AI is what you sell, whether that's an assistant, an agent or a model wrapped in a workflow, the person you hire makes calls about models, data, evaluation and running costs that are expensive to undo. That's a technical leadership job, and it's why most of this list is fractional CTOs.
If AI is a tool your company uses to write, sell, support customers or run operations, you don't need a CTO for it. You need someone who sets up the workflows, trains the team and agrees rules for safe use. Hiring a fractional CTO to roll out AI in marketing is paying for the wrong expertise. Hiring a marketing trainer to design an LLM product is worse.
A quick way to tell which side you're on: if a customer would notice the AI breaking, it's the product.
What each stage is buying
| Stage | What you're buying | The type of adviser | The question to ask first |
|---|---|---|---|
| An idea, no product yet | Proof the idea works, fast | A fractional CTO or studio running short prototype sprints | What will I be able to click on after the first session? |
| A demo that has to survive users | Someone who owns architecture and production | A solo fractional CTO acting as technical co-founder | What have you shipped that real users still rely on? |
| Funded, seed to Series A | An outside check, or depth across strategy and build | An independent adviser or a boutique firm | Who will do the work each week, by name? |
| Past version one | Product, engineering or growth leadership | A paired product and tech team, or a fractional CMO | What do you leave behind when you go? |
| Works, but nobody finds it | Marketing and AI visibility | A marketing-side AI consultant | Which of your own numbers can you show me? |
The row founders underestimate is the second one. A demo feels like progress, and it is, but the jump from demo to production is where AI products fall over. One adviser below says on their own site that most AI products fail in production for predictable reasons, and names prompts and versioning, cost, observability and reliability among them. None of those shows up in a demo. All of them show up the week real users arrive.
One person, a pair or a firm
The second fork is shape. A solo fractional CTO gives you one senior brain, close to the code, and several people on this list say they cap how many clients they take at once. That's good for focus and bad for urgency: you may wait for a slot, and holiday cover is your problem.
A pair, one product lead and one technology lead on the same engagement, covers the gap between what to build and how to build it. It suits a company past its first version that argues about the roadmap as much as the architecture. It's leadership, though, so you'll still need engineers to write the code.
A boutique firm brings breadth: strategy, design and delivery under one contract, and someone to step in when a person is off sick. The price is distance. Ask who'll be on your weekly call, by name, and whether that's the person who pitched you.
Location matters less than founders think, with one exception. If you're non-technical and want someone in the room for the first whiteboard sessions, a local adviser earns their place. A couple of the names below are tied to a metro area; most work remotely across borders.
An hour that saves you a bad hire
Run this before you sign anything. It takes about an hour per adviser and needs a call and a shared doc, nothing more.
Write a one-page brief first: what the product does, who uses it, what's built, what's broken, and the one decision you're stuck on. Send it ahead. On the call, give them ten minutes to question you; good advisers ask more than they pitch. Then put the same four questions to everyone:
- How do you version prompts, and how would I roll one back on a Friday night?
- What will this cost to run when usage jumps, and how would we find out before it happens?
- When an answer goes wrong in production, how will we know, and who sees it first?
- What happens to us when the model provider changes something or goes down?
Score each answer from one to three. A three names a specific practice they've used and what went wrong with it. A one is general reassurance. Anyone averaging under two is selling you the demo, not the product. Finish by asking what you'll own at the end: code, prompts, documentation, and the model and cloud accounts. If the answer isn't all of it, in your company's name, walk away.
What founders pay for, in words
Prices for this kind of work are usually agreed per engagement rather than published, so here's what drives the bill instead of a number. A fractional CTO is normally a monthly retainer for a share of someone's week, and it rises with the days and with how much hands-on building you expect on top of advice. A prototype sprint or a readiness assessment is a fixed scope for a fixed fee, which suits a founder testing one idea. Due diligence before a raise or an acquisition is a short, defined job. A boutique firm prices by team and scope, so it's rarely the cheap option for an early company.
The cheapest way to buy any of it is a tight scope. A founder who arrives with the brief above and one decision to make pays for answers. A founder who arrives with "help us with AI" pays for the adviser to work out what the question is.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
Five ways founders get this wrong
- Hiring for the stage in the pitch deck, not the one you're in. An adviser built for Series A will design for scale you don't have yet.
- Treating a slick demo as proof of a good adviser. Ask what still runs in production, and for how many users.
- Buying a CTO when the problem is growth. If the product works and nobody finds it, more engineering won't fix that.
- Signing open-ended. Agree the first month's deliverable and a review date before any retainer starts.
- Leaving accounts in the adviser's name. Cloud, model keys, repositories and prompt libraries should be yours from day one.
Who I'd hire at each stage
Nothing built yet: a fractional CTO or studio offering a short prototype sprint, so you learn whether the idea holds before you pay for architecture. A demo with users waiting: a solo technical co-founder type on retainer who has taken products into production and talks about cost and monitoring without being asked. Funded and about to hire: an independent adviser to check the architecture before you recruit, or a boutique firm if you want strategy and build under one roof. Past version one: paired product and engineering leadership, or a fractional CMO if growth is what's stuck.
And if the product works but isn't being found, that's the marketing end, which is where I come in. My verdict: hire for the stage you're at now, not the one you're pitching, and skip any adviser who can't show you something they've shipped that real users still rely on.
Nine advisers who say they work with founders
DFW CTO (Chris Haga)
A Dallas-Fort Worth fractional CTO aimed at non-technical founders, set up to put a testable prototype in front of you early.
Got AI
Fractional CTO cover or a single defined project, including a prototype sprint built to answer one question about an AI idea.
Igal Malisov
A solo fractional CTO on retainer who acts as technical co-founder, carrying an AI product from working demo into production.
Comtau
Hands-on interim CTO for startups where the AI or LLM is the product itself, from pre-seed through to Series A.
Russell Wong
An Adelaide-based fractional CTO advising founders across the US, UK and Australia, with a deliberately small client roster.
AECS
A boutique team of senior operators spanning AI and product strategy, fractional CTO and CPO roles, and AI system design.
NextCycle.ai (Jonathan Moss and Rick Chatham)
Paired product and technology principals who join your weekly rhythm, for software companies moving from startup to growth stage.
Data-Mania (Lillian Pierson)
A fractional CMO practice for data, AI and B2B SaaS startups that need an AI-native growth system rather than an executive hire.
dataMaven
Architecture, data platform and AI modernisation with fractional CTO leadership, a fit for scaling startups in regulated or data-heavy fields.
My place in this, and its limits
I'm a British AI implementation consultant and fractional CMO with 23 years in marketing, all in on AI since 2024. I work in English with founders worldwide, in person or online. I'm one person and a practitioner. I won't take the CTO seat, write your code or train models, and I'm not a software agency. Where I'm useful is after the product works: getting it found, getting the marketing running with AI, and training the team on its own tasks. If you're still weighing the strategy side, my page on what an AI strategy consultant does sets out the difference.
I do this on my own business first. The numbers come from my own Search Console and GA4: Google clicks to my site went from 1,322 a month in January 2026 to 6,412 in September, and AI-assistant visits from 32 to 3,599 a month. My numbers, not a client's, and not a promise.
If your product works and you want it found, with your team using AI in its marketing, that's the part I do. I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.
