Custom AI development projects
The money is hiding in your ‘normal’
The manual tasks you live with are normally the quickest wins.
We find the parts worth automating, prototype in a few days, then build and ship what proves out.
“We design, build and ship the systems ourselves, rather than handing you a specification and wishing you luck”
– Alan Bates, Founder, 10 Kinds
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Three places to look for quick wins
The same data, keyed in twice
A document arrives, someone types its contents into a system, and someone else rebuilds the same figures for a report a week later. Nobody fixes it because everyone is too busy doing it.
The answer lives in one person's head
Every organisation has someone everybody asks. When they're on holiday the work slows down, and when they leave it stops entirely.
The demo that never shipped
Something impressive got built for a presentation, then never had an owner, a budget, or a route into how anyone works day to day.
Where AI pays for itself
The highest-value work is rarely exotic. It’s repetitive, document-shaped and everywhere, which is exactly what makes it worth automating.
Getting data out of documents
PDFs, emails, forms and scans turned into structured data your systems can use, with the gaps, discrepancies and missing pages flagged rather than discovered three weeks later.
Answers from everything you know
One question put to your whole knowledge base at once, answered with citations from your own procedures, past work and internal decisions. The material that currently lives in a few people’s heads, available to everyone.
Sorting, routing and triage
Inbound work classified by urgency and routed to the right desk before anyone opens it, with the cases that need a human marked as such rather than everything arriving in one queue.
First drafts in seconds
Reports, letters and submissions drafted from data you already hold, ready to check and send rather than write from a blank page.
Workflows that run themselves
The scheduled, repetitive work that currently depends on someone remembering. Automated end to end, with a record of what ran, what it did, and what it skipped.
Keeping it alive
Anything built needs upkeep as your business changes and the models move underneath it. We stay on as the standing line to the people who built it, rather than disappearing at handover.
What you get
- A working prototype before you commit to a full build
- Systems running inside how your teams already work
- The before and after measured, so the gain is a number
- Handover and training, plus a retainer if you want us to stay
Prices are below. Start with a prototype day, or scope a build straight away.
Battle-tested advice
We build this, not just advise on it
10 Kinds is run by the founder of Bazam.ai, an AI content marketing platform we designed, built and run in production. Everything we recommend to you, we have had to make work ourselves, with real data and real consequences when it goes wrong.
Multi-agent systems, in production
Agents that plan, draft and revise a piece of work between them, with a human approval step before anything goes out. We know when that architecture is worth its cost and when a single well-aimed prompt does the same job.
Retrieval over a customer's own material
A knowledge layer so output comes from the customer’s facts rather than the model’s guesses. This is the control most organisations need, and the one most vendors gloss over.
Workflows that run unattended
Approved, scheduled jobs publishing into multiple third-party platforms without anyone remembering to press anything, with a record of what ran and what it skipped.
Tenant separation that has to hold
One customer’s brand material must never surface in another’s output. Getting that right in a live system is a different discipline from writing a policy saying it must be.
That’s where the advice comes from. Which problems are worth pointing a model at, which are cheaper to solve with ordinary software, and which impressive demos fall apart the moment they meet real data. You get that read before the money goes anywhere.
Build engagements
Start with a day and find out what's possible. Scope the rest once you've seen it work.
Orientate
1 AI Possibilities Session Is AI even a fit for us? Half a day with your leadership team on what AI can and can't do for an organisation like yours, before you commit to anything. From £1,500 Half a day +
- A plain-English tour of what current AI does well, and where it still falls over
- Worked examples relevant to your sector rather than generic demos
- A first pass at where AI might pay in your business, and where it wouldn't
- A written summary you can take to the board
- No obligation to do anything afterwards
Build
1 Prototyping What is possible with our setup? Find out what's possible with your data and your workflows, before you scope anything bigger £3,500 / day Typically a 1-2 days +
- Booked by the day, usually one or two
- A focused, one-off build session, not an ongoing engagement
- Covers context, connections, automations and agents
- Run as a team session or one-to-one, your call
2 Custom Builds Can you build it and ship it? AI built into how your organisation works, not bolted on beside it. Project-scoped Weeks/months +
- Systems that know your business context, data and terminology
- Role-specific tools for the teams that need them
- Automated workflows running on a schedule, not on someone remembering
- A knowledge base that stays current as you do
Support
1 Advisory Retainer Who keeps this alive? Most consultants build it and leave. We stay on as the standing line to the team that built it. £1,500 / month Ongoing +
- Monthly strategy session
- Internal audit and management review on an annual cycle
- Surveillance audit preparation
- Updates on relevant AI advances and opportunities
- Advice on AI tooling and vendor sense-checking
- Quarterly AI capability benchmarking
Our commitments
Fixed scope, fixed price
Each engagement is quoted at a fixed price against a scope agreed in writing before we start. No day-rate creep, and no surprise on the invoice.
Named deliverables
You get the documents listed on each engagement at the end of it, so you can put them straight in front of a customer, an auditor or your board.
Start anywhere, stop anywhere
Nothing here is a bundle or a prerequisite. Come for training, a prototype or a retainer on its own if that's what you need, and stop whenever you're done.
Confidential from the first call
Everything you tell us stays between us, on the free call as much as in a paid engagement, and we'll sign your NDA beforehand if you'd rather have it in writing.
Questions
We'd rather not advertise how messy this is. Is what we tell you confidential? +
Yes. Everything you tell us stays between us, on the free call as much as in a paid engagement, and we’ll sign your NDA before the first conversation if you’d rather have it in writing.
Nobody gets named in a case study, a talk or a post without asking you first. Most of what we’re shown is the same handful of gaps we see everywhere, so there’s nothing to be embarrassed about in any case.
What happens to our data while you're working with us? +
We work from the minimum we need to do the job, on our own equipment, and we hand back or delete what we hold at the end of an engagement.
Your documents and business data never get fed into public AI models to train them. Anything we build for you runs on infrastructure scoped to your organisation and sees only the data you point it at.
Can you build things, or is it just advice? +
Both, and the building is the point. We design, build and ship AI systems ourselves rather than handing you a specification and wishing you luck. Governance is usually how organisations find us. Training is what changes how people work. Building is what changes what the business can do.
How do we get started? +
Book a free 30-minute call. If a questionnaire’s what brought you here, bring it along and we can discuss it. We’ll give you a straight read on where you stand and what the right next step looks like.
Start with a conversation
Half an hour on where you stand: what AI is running, how well your people use it, and what would be worth automating. Bring a customer questionnaire if that’s what brought you here.
You'll leave with a clear position on where you stand and what to fix first, whether or not you hire us.