AI solution development
We build AI assistants, document-processing solutions and agents that use your sources and tools. Each solution is shaped around the task, how it is checked and the people using it every day.
What we build
For teams with a defined task and software companies adding AI to their products.
Search internal documents, prepare a response and link to the source used. We define content updates, what each user may see and how to flag answers that need further checking.
Extract agreed fields from a PDF or form into a clear record. The user can inspect the source, complete missing information and confirm the result before the next step.
An agent can connect several steps: find data, prepare a report and suggest an action. We define its tools, stopping conditions and what a user must approve before sending or writing anything.
An assistant should sit where work happens. We connect the user screen, application logic and AI workflow, using existing sign-in and permissions where the system supports them.
Example application
A user selects documents. The system extracts agreed data and prepares a draft report. The user reviews the sources and confirms the final version.
From prototype to handover
Alongside the feature, you need evaluation examples, usage instructions and an agreement on who maintains models, sources and integrations.
Agreed inputs, actions and outputs, initially in a test environment.
Typical tasks, missing information and edge cases, reviewed with users.
Documentation, permissions, error monitoring and a decision on what needs improving before expansion.
Let’s connect
Tell us what you want to improve. Together, we’ll define a practical first step.
