AI that does
real work inside
your business.
Not a chatbot bolted onto your homepage. Assistants that know your documents, and automations that take the copying, sorting and chasing off your team's plate.
Built on established models from providers such as OpenAI, Anthropic and Google — connected to your data.
Where AI earns its keep
Four places we see it pay back fastest.
If a task is repetitive, rule-based and lives in documents or email, it's a candidate.
Document assistant
Before
Staff search the shared drive for twenty minutes to find one clause.
After
They ask in plain English and get the answer with the page it came from.
Workflow automation
Before
Orders arrive by email and get retyped into the ERP and a spreadsheet.
After
Orders are read, checked and entered automatically; people only handle exceptions.
Customer support
Before
The same twelve questions eat half your support team's day.
After
Routine questions are answered instantly; complex ones reach a person with context.
Data extraction
Before
Invoices, forms and PDFs are keyed in by hand.
After
Fields are pulled out, validated and pushed to your systems for review.
How an engagement runs
You see it working before you pay for all of it.
1–2 weeks
Discovery
We sit with the team, map the task, and agree the one number that proves it worked.
2–4 weeks
Prototype
A working version on your real documents. You try it before committing further.
4–6 weeks
Pilot
A small group uses it daily. We fix what breaks and measure against the agreed number.
Ongoing
Rollout
Wider launch, training, monitoring and improvements as your data changes.
How we build AI
Careful by default.
Your data stays yours
We choose providers, regions and logging settings around your requirements, and keep sensitive fields out of prompts where needed.
People stay in the loop
Anything consequential — payments, customer replies, approvals — gets a review step until you're confident to remove it.
Measured, not magic
We agree the metric before we build: hours saved, response time, error rate. If it doesn't move, we say so.
Do we need our own AI model?
Almost never. We build on established models and connect them to your data, so you get the capability without the cost of training anything.
Where does our data go?
That's decided with you up front: which provider, which region, what's stored and for how long. Where needed, we keep sensitive fields out of prompts entirely.
How much does it cost?
It depends on what the AI has to read, decide and connect to. We start with a fixed-price discovery and prototype, so you see it working on your own documents before committing to the full build.
Will it replace our staff?
Our projects remove the repetitive parts of people's jobs — the copying, sorting and chasing — so the same team can handle more of the work that needs judgment.
What if it gets something wrong?
We test against your real examples before launch, show sources for every answer, and add review steps wherever a mistake would matter.
Start a project
Tell us what's slowing you down.
A slow site, an app idea, a process held together with spreadsheets. We reply within one business day with honest next steps.