AI-first consulting & engineering
We build AI-driven applications, automation and custom models for businesses. AI runs through our own delivery, which is how a small senior team keeps costs well below a traditional consultancy. You get experienced engineers, a fixed price, and a system that reaches production instead of stalling as a pilot.
Intelligence, folded in.
AI-first
AI is in how we work, not just what we sell
We use AI right through our own work, from research and code to tests and documentation. That is how a small team keeps pace with a much larger one.
Affordable
Senior delivery without agency overhead
There are no account layers to bill for and no bench to fund. You pay a fixed fee for an agreed outcome, so the number does not drift once work starts.
Reliable
Built to run after we leave
Every engagement aims at a production system with monitoring, evaluation and a proper handover. We agree the baseline before starting, so the result is checked against something real.
Expert-led
A senior practitioner leads your work
The person who scopes your engagement is the person who builds it. There is no pitch team, and nothing gets handed to juniors once you sign.
What we do
Most AI work fails at the seam between advice and engineering. We hold both, so the recommendation and the system that follows it come from the same people.
Web and internal applications built to carry real operational load. Customer portals, data platforms, workflow tools, and the engineering that gets an AI system running properly once it is live.
Automation for the repetitive middle of your operation: document handling, triage, extraction, routing and reporting. Where an off-the-shelf model is not good enough, we train one on your data.
Independent direction before you spend: where AI pays back, where it doesn't, what it costs to run, and what has to be true in your data and governance first.
Packages
Every engagement is scoped to an agreed outcome and quoted as a fixed fee, so there are no open-ended day rates. Start wherever the uncertainty sits. You can move up a tier whenever it makes sense, and the work already done carries forward.
Advisory Sprint
Fixed scope
An independent read on where AI pays back in your business, and where it does not.
Best for Leadership teams deciding where to start.
Request pricingLaunchpad
Fixed fee
One well-chosen system, built properly and put into production.
Best for Proving value on a real workflow before committing further.
Request pricingMost chosen
Momentum
Dedicated team
A dedicated team working across your roadmap and shipping as things are ready.
Best for Organisations with a roadmap, not a single project.
Request pricingEmbedded Partner
Monthly retainer
We stay involved, running and improving what is live and building what comes next.
Best for Teams treating AI as a permanent operating capability.
Request pricingNot sure which fits? Describe the problem in the form below. We will point you at the smallest engagement that answers it, even when that means spending less than you expected.
How we work
The sequence matters. Most stalled AI projects skipped the first stage and paid for it in the third.
We map the workflow, the data behind it, and the cost of the status quo. If the numbers don't support building anything, we say so.
We choose the smallest system that moves the number, then cost it honestly, including the build, the running cost and the human time around it.
We ship to production in short cycles. You review working software, not status decks, and priorities can change between cycles.
We measure against the baseline, tune what's underperforming, and hand over with your team able to run and extend it.
Why TrAItFold
Plenty of firms will build you a demo. Fewer will tell you the honest running cost, hand over the keys, and be measured in your numbers rather than theirs.
A senior practitioner scopes your engagement and stays on it through delivery. You are never sold by one team and built for by another.
Scoped work is quoted as a fixed fee against an agreed outcome. The number comes in below an agency's because we use AI heavily and carry no overhead, not because we cut corners.
We don't resell a platform and take no vendor margin. The recommendation follows the business case, including when it says don't build.
Hours removed, error rates, cycle time, cost per case. We agree the baseline before we build, so the result isn't a matter of opinion.
Common questions
TrAItFold.AI is an AI-first consulting and engineering firm. It builds applications, automates business workflows with AI, and provides independent advisory on where AI is worth adopting. All three are delivered by the same senior team.
Businesses that need working AI and software in production. Usually that means an organisation with a real operational workflow to improve, rather than an interest in experimenting.
Every engagement is quoted as a fixed fee against an agreed outcome, so there are no open-ended day rates. The first call is free and there is no obligation after it. Contact [email protected] for a quote.
Two things, and neither of them is cutting quality. AI runs through our own delivery, from research and code to tests and documentation, so a small team keeps pace with a much larger one. We also carry no account layers, pitch teams or bench, so you are paying for the work rather than the overhead around it.
A senior practitioner scopes your engagement and stays on it through delivery. The person you speak to first is the person who builds the system. Nothing is sold by one team and handed to juniors after you sign.
Most engagements start with an Advisory Sprint when the question is where to begin, or a Launchpad when the workflow to improve is already known. You can move up a tier at any point and completed work carries forward.
No. We are independent and take no vendor margin, so the recommendation follows the business case. Sometimes that recommendation is not to build anything.
Delivery includes documentation, evaluation harnesses and team training so your team can run the system. Clients who want TrAItFold.AI to keep running and extending it use the Embedded Partner retainer.
Yes. Where an off-the-shelf model is not accurate enough on your data, we train or fine-tune one, then put it into production with the monitoring and retraining it needs to stay useful.
Contact
Send a short note about the workflow or product you have in mind. You will get a considered reply from a person who has actually read it.