AI Opportunity Audit
Start here1–2 weeks
Workflow interviews, a ranked list of AI use cases with ROI estimates, and a build roadmap. The low-risk way to start.
From[$X], fixed fee
Learn moreIndependent AI consultancy
Practical AI, built to work.
I help businesses find where AI actually pays off, then design and build it. No hype, no 80-slide strategy decks. Working systems.
02 / 04 · Clay
What you see is the finished product…
Polished, fast and easy to use. That surface is only ever as good as what sits underneath it.
03 / 04 · Wire
…but it’s built on structure.
Data, prompts, retrieval and evals: the unglamorous geometry that decides whether an AI system holds its shape.
04 / 04 · Blueprint
That’s the work. I build the scaffolding.
I design and build the systems underneath AI that actually works, then hand you the drawings.
See how I workPreviously built [FILL IN: what] at [FILL IN: where]Clients in [industry], [industry] and [industry]
A senior builder, not an AI agency.
Tomtar Labs is one experienced engineer who has shipped real systems. You work with the person who writes the code, from the first call to the handover.
[N]+Yearsshipping production software
[N]Systemsshipped into production
1Business dayto hear back about your project
AI is everywhere. The results aren’t.
Most teams don’t need more AI tools. They need the right two or three, built properly.
01
You’ve tried ChatGPT and it didn’t stick.
A few people use it, nobody measures it, and the pilot quietly stalled.
02
Everyone’s selling AI. Nobody’s showing ROI.
Vendors pitch platforms. You need to know what will save time or make money, and by how much.
03
Your team is drowning in repetitive work.
Inboxes, documents, copy-paste between systems. The work matters. It doesn’t need to be manual.
What I do
Start with a short audit, build one system properly, bring me on as your part-time AI lead, or have me teach your team.
Build Sprint
Most hands-on4–8 weeks
Design and ship one AI system into production: an agent, an internal tool, an automation or a customer-facing feature.
From[$X]
Learn moreFractional AI Lead
OngoingMonthly
A monthly retainer for strategy, vendor and model selection, team enablement and hands-on building.
From[$X] / month
Learn moreAI Education
Learn it½ day–6 weeks
Workshops, briefings and coaching on what AI is, how to use it well, and how to implement it safely in your business.
From[$X]
Learn moreEducationPlan a workshop
Learn it, then build it.
I don’t just build for you. I teach you and your team what AI is, how to use it well every day, and how to implement it safely, so you can make good calls about it long after we’re done.
Executive briefing2 hours
Team workshopHalf or full day
AI bootcamp4–6 weeks
1:1 coachingOngoing
- 01
What AI actually is
How large language models work, where they shine, where they fail, and how to tell hype from reality.
- 02
Using it every day
Prompting, reviewing output, and building AI into writing, research, analysis and customer work.
- 03
Finding the right use cases
A simple method for spotting where AI pays off in your own workflows, and where it doesn’t.
- 04
Implementing it safely
Data privacy, security, accuracy checks and an AI policy your team will actually follow.
- 05
Buying versus building
How to evaluate vendors and tools, ask the right questions, and avoid paying for a demo.
- 06
Leading adoption
Bringing a team along: training, measuring usage and making new habits stick.
Selected work
A few systems in production, and what they changed.
How it works
- 01
Discover
We map your workflows and find the handful of places AI pays off.
- 02
Prototype
A working version on your real data, in weeks rather than quarters.
- 03
Build
Production-grade, with evals, guardrails, monitoring and a clean handover.
- 04
Support
I stay on to measure, tune and train your team, so it keeps working.
“[FILL IN: Client quote. One or two sentences about the outcome and what it was like to work together.]”
Have any questions?
Something else on your mind? Send it through the project form.
What does it cost?
Audits are a fixed fee, from [$X]. Build Sprints are scoped to a fixed price after the audit or a discovery call, typically [$X–$Y]. Fractional retainers start at [$X] a month. You’ll know the number before we start.
How soon will I see results?
An audit takes one to two weeks. A Build Sprint ships a working system in four to eight weeks, with a usable prototype early on so you can react to something real.
Is my data safe?
Your data stays yours. Wherever possible I build inside your own accounts, use model providers whose terms exclude training on your data, and sign an NDA before we start.
Which tools and models do you use?
Whatever fits the job. Mostly Claude and OpenAI models, plus open-weight models when data has to stay on your own infrastructure. Built in Python or TypeScript and deployed where your team already works.
Do I need a tech team?
No. I can build and run the whole thing, then hand it over with documentation. If you do have engineers, I’ll work alongside them and leave them able to maintain it.
Can you teach my team, not just build for us?
Yes. Education is a service on its own: executive briefings, hands-on workshops, multi-week bootcamps and 1:1 coaching. It also comes with every build, so your team understands and can run what we ship.
What if AI isn’t the right answer?
Then I’ll tell you. Plenty of problems are better solved with a spreadsheet, a script or a process change, and the audit will say so.