AI that does real work
Assistants, agents and AI features built on your own data, with a human in the loop.
Six ways we use AI
Each one starts with a job worth automating and a way to check the output.
Answers for customers and staff, from your documents.
Phone and voice assistants that answer, book and hand off.
One chat over your documents and systems, on your servers.
Repetitive work, done by software you can audit.
Search, summaries and drafting inside the product.
Where AI pays off in your business, and where it does not.
Useful before clever
We build the smallest thing that saves time, then measure it.
Grounded in your documents
Answers come from your pages and files, with the source shown.
A person stays in charge
Low-confidence answers go to staff, never a guess.
Measured like any feature
Time saved and answers accepted, reported monthly.
How it runs
Readiness
The job, the data and what good output looks like.
Prototype
A working version on real questions in weeks.
Build
Security, hand-offs and logging added.
Measure
Accuracy and time saved, reviewed monthly.
Questions we get
What is AI development for a business?
AI development is building assistants, agents and features that work on your own documents and data. We start with one job worth automating, keep a person in charge of the results and measure the time it saves.
Which AI models do you use?
We choose per job from the major providers, or open-weight models that run on your own servers when data cannot leave. The choice stays swappable, so you are not locked in.
Is our data used to train the model?
No. We set up provider accounts so your data is not used for training, or run the model inside your infrastructure so nothing leaves it. Either way we document where data is stored.
What if the AI is wrong?
It shows its sources, hands uncertain questions to staff, and every answer is logged for review.
Tell us what you’re building.
- A call about the goalThe budget, the deadline and what success looks like.
- A written scopeWhat we build, in what order, and the quote.
- Work in sprintsA demo at the end of each one.