Custom AI development for work that standard tools do not cover
When Copilot and agents are not enough, we build AI into your own apps and processes: reading documents, answering questions over your content, and helping people make decisions, with people kept in the loop.
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What we build
What custom AI projects can include
We scope it to the problem. Many projects start with a small pilot.
Document processing
Read invoices, forms and contracts, extract the fields you need, and send them to your system for review.
Question answering
Answers from your own documents and data, with links to the sources.
AI inside your apps
Summaries, suggestions and classification inside the apps your teams already use.
Review by a person
Steps where a person checks and approves AI output before it is used.
Integration
Connecting the AI work to SharePoint, Power Platform and your other systems.
Testing and monitoring
Tests on real examples before launch, and checks on quality afterwards.
How it works
How a custom AI project runs
Define the problem
We agree the task, what a good result looks like and where a person reviews it.
Pilot on real examples
A small version on your own documents or data, so you see how well it works.
Build
The full solution, connected to your systems, with access and review steps.
Launch and monitor
Rollout, training, and checks on quality after go-live.
From pilot to production
How a custom AI build is tested before it is trusted
An AI feature is useful when you know how often it is right. We build a set of real examples first, measure against it and keep measuring after release.
- A test set made from your own documents and questions
- Guardrails on what it may say and do
- A person can always check the source of an answer
Custom AI development questions
When do we need custom AI instead of Copilot?
When the task is specific to your business, needs your own data and rules, or has to sit inside an app or process that standard Copilot does not cover.
Will AI replace the people who do this work?
Our projects are built to help people, with review steps where a person checks the result before it is used.
Where does our data go?
We design for your own environment and tell you plainly where data is processed before you commit.
How do we know it works well enough?
We test on your real examples in a pilot and agree what a good result looks like before the full build.
How do we get a price?
Book a free consultation. After a short scoping call we send a proposal with one price for the core scope, separate prices for optional add-ons, and the assumptions written down.
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