How we work
A clear process.
A useful first release.
We start by defining a useful result, then test the system against the situations your team will actually encounter.
- 01
Choose the right task
Identify the repetitive work, who benefits and how success will be measured. Agree what the AI should and should not do.
Use case & success criteria - 02
Prepare the context
Review the source information, access permissions and existing systems. Decide where the assistant gets its answers and when a person steps in.
Data sources & review boundaries - 03
Build & evaluate
Develop a focused version and test representative requests, unclear inputs and failure cases. Review quality and usage cost together.
Working prototype & evaluation - 04
Introduce & improve
Roll out to an agreed scope, collect feedback and plan how knowledge, evaluations and integrations will be maintained.
Rollout & improvement plan
Model usage, data preparation, integrations and ongoing evaluation are scoped for each project.