Make AI earn its place in your business.
We work out where AI is genuinely worth using, then build the system and stay until your team runs it without us.
A quick, honest check of how your business would handle the changes AI brings. Two minutes, no sign-up.
Paste your website. We'll read it and tell you where, in a business like yours, the hours quietly go and whether AI would help. Before anyone books a call.
No website, or it doesn't say much? Tell us in a sentence instead.
Prefer a quick self-check? Take the two-minute adaptability test.
We're reading the public pages and looking for repeated work, hand-offs and approval points where AI may be worth a closer look.
Five things people say to us on almost every first call. Here's what we know about each.
We don't have the expertise in-house — and hiring it is brutal.
The most common reason businesses hold back, and the obvious fix is the slow one. A “Head of AI” search runs for months, the title means something different at every company, and the few people who've genuinely run AI inside a business are gone before most ads close.
We wouldn't know where to start.
In one survey of 1,000 UK small-business leaders, 41% said they want to adopt AI but don’t know where to start. Not “AI is useless”, just no obvious, sensible first step.
We tried a pilot and it went nowhere.
Most pilots never reach production. The widely-cited studies put failure rates for AI projects above 80%, roughly double the rate for ordinary IT projects. A failed attempt can cost an SME £20,000–£80,000 in direct spend alone, before the internal time.
Our people are worried it's here to replace them.
Adoption usually stalls on fear. When researchers go back and ask why AI projects failed, it's almost never the technology. It's that the business wasn't ready and the people weren't brought along. The less prepared the company, the worse it goes.
We can't tell the real thing from the hype.
Every product now claims AI. Without someone independent in the room, it's hard to know which claims survive contact with your business.
Sources: Indeed survey of 1,000 UK small-business leaders (41% want to adopt AI but don't know where to start); BT Business, The AI Opportunity for Small Business (60% cite lack of understanding); RAND, The Root Causes of Failure for Artificial Intelligence Projects (RR-A2680-1, 2024); Melbourne Business School Centre for Business Analytics, Why do analytics and AI projects fail? (2024). Implementation cost ranges are typical UK SME figures from 2026 industry reporting.
Fourteen days, day by day. Here's exactly what happens in each.
Not the org chart — the person who chases the invoices, re-keys the order, builds the forecast in a spreadsheet at 7am. Half a day, no slides.
"I do that every Monday. It takes the morning."The sentence that usually starts a Blueprint
Hours a month, error rate, what a late decision costs. Most businesses have three or four candidates, and one is usually obvious once it's on paper.
We pick one workflow off that list and draw it end to end: what the AI does, what a person still signs off, where it stops and asks. This is where we decide the controls, rather than adding them after something goes wrong.
Anything that touches money or a customer gets a human approval step. Always.
A working slice, run on your real invoices, orders and forecast history. Better to find that out for the price of a Blueprint than halfway through a Build.
Who owns what, what it costs, and what "working" means in numbers. Written so your finance director can read it and your ops lead can run from it on Monday.
If the plan needs us in the room to make sense, we've written it badly.
The plan is yours: some clients build it themselves, some bring their own developers, most ask us. We'd obviously rather it was us, but you'll have a plan that works either way.
Blueprint · two weeks
We map your workflows, separate the genuine opportunities from the noise, and hand you the operating plan — including what not to automate.
Build · about six weeks
Agents, approval queues, dashboards and integrations — with governance built in: the autonomy your team grants, spend caps, audit trails, human escalation.
Embed · ongoing
Training, an operating rhythm, and the awkward conversations. It's the part that decides whether anyone's still using it in month three.
The Woodlark Academy
Practical sessions for teams who want to know what AI is good for, where it bites, and what to do about it. Not a certificate.
Book a conversation ↗Six anonymised engagements across logistics, creative, marketing, finance, merchandise and service businesses. The names and sensitive details are withheld; the operational substance is not.
Fulfilment · 3PL
Sales visibility
Capacity-aware forecasting for a leading UK logistics business.
Read the engagement ↗
Creative agency
Daily profitability
Job-level P&L for a creative agency.
Read the engagement ↗
Financial services
Governed company brain
Shared, accountable knowledge for a finance business.
Read the engagement ↗
The numbers below aren't projections. The first two are a client's, from their own management accounts; the rest are counted from the systems we built and run inside our own business.
Client figures: a leading UK logistics business, from its own management accounts, comparing six months of trading with the previous six. Approved for publication; the company is not named. The remaining figures are our own, counted from systems we run.
How do you hand real work to AI without losing control? In our own company, every agent has to earn it: three tiers of autonomy, against three levels of stakes. Clean approvals move it up. One bad call moves it straight back down.
Each tier, at low, medium and high stakes.
Ours have earned the top row: last night, while we slept, they answered support in 13 languages, reconciled the day's numbers and drafted this morning's content. Every move on the board is reversible. When you correct a draft, that correction is written into the rules the agent works to next time, so the same mistake gets caught once rather than every week.
Thirty minutes with a founder. We'll tell you where AI is worth using in your business, and where it isn't. Plain answers, no pitch.
