Practice 02
We help businesses integrate artificial intelligence into existing applications, develop AI-powered products and automate complex business workflows.
In an engagement
An AI engagement starts from a workflow someone already has. We define the behaviour, the sources, the hand-off to a person, and the evaluation that will decide whether it is ready.
Where this shows up
The assistant has to use the company’s own material, and show where an answer came from.
Tickets, contracts, or operational files need to move a workflow, not sit in a folder.
The intelligent feature belongs in the current mobile or web application, with a release path.
Capabilities
Products whose useful behaviour depends on a model, tied to a real workflow.
Language models placed inside an application the business already runs, with clear boundaries.
Multi-step work that can plan, use tools, and stop for a person when the risk requires it.
Answers drawn from the organisation’s own sources, with the source visible.
Internal assistants over policies, product knowledge, and operational documents.
Support flows that resolve what they can and hand off what they should.
Extraction and routing for the documents a process already depends on.
Repetitive operational work turned into a workflow that can be watched.
Intelligence added to the application customers and staff already use.
Eval sets, release checks, and a way to see how a model-backed feature behaves after launch.
Start a brief
Describe the outcome. We will say which mix of practices belongs in the pod, and what the first slice should prove.