AI inside the toolsyou already use.
We integrate AI into the systems your teams work in every day, on infrastructure you control.
01Why clients come to us
Four situations we see most.
Pilots that never reach production
A demo impressed everyone, then stalled on security review, data access or cost.
Staff pasting work into public tools
People are already using AI, but outside any control you have.
Manual work between systems
Documents re-keyed, tickets sorted by hand, the same question answered a hundred times a week.
No way to tell if it is right
Without measurement, nobody can say whether an AI feature is good enough to trust.
02AI services
What we can take on.
AI agents
We build agents that handle support requests and internal tasks inside your existing tools, with limits on what they may do and a record of what they did.
Private LLMs
We build assistants that answer from your documents and data, running in your cloud or your data centre, with nothing sent anywhere you have not approved.
Document processing
We turn invoices, contracts, claims and forms into structured data in your systems, with a person checking the cases the software is unsure of.
Workflow automation
We automate the routine hand-offs between your systems and people, and use AI only for the steps that need judgement.
AI consulting
We help you decide where AI is worth using, what it will take, and what to leave alone.
03How we work
Useful, controlled, measurable.
Through your accounts
Models run in your own OpenAI, Anthropic or cloud accounts, so your contracts and controls apply.
The right model for the job
We work with OpenAI, Claude and privately hosted models, and choose by task, data sensitivity and cost.
People stay in charge
Where a wrong answer costs money or trust, the system proposes and a person approves.
From our work
Account reconciliation platform
A month-end reconciliation platform for a finance team moving off spreadsheets. AI proposes the transaction matches; people review and sign off.
Questions
What clients ask first.
Which model do you use?
The one that fits the task. We work with OpenAI and Claude models and with privately hosted ones, and we test candidates on your own examples before choosing.
Is our data used to train anyone's model?
We deploy through your own accounts under your agreements, inside your environment, so your terms and controls apply.
How do you stop it making things up?
Answers are grounded in your own documents and shown with their sources, tested against known cases before release, and sent to a person where a mistake would matter.
What does it cost to run?
We estimate running costs before you build and monitor them afterwards, so there are no surprises on the bill.
Tell us what you run.
Thirty minutes with an engineer. You leave with a clear scope, a timeline and a recommended approach.
