Your role
You bring the operational context, data owners and boundaries for acceptable model behaviour.
Connect AI strategy to useful applications, agents and workflows. Start with a clear problem and build around the people who will use the result.
Discuss your requirementsStart with a business problem, your data and the people who will use the result. Shape an AI initiative around a useful, measurable outcome.
You bring the operational context, data owners and boundaries for acceptable model behaviour.
We connect strategy to implementation: assess feasibility, build a focused application and evaluate it against real tasks before expanding.
An agreed discovery, pilot or product release, with review points and explicit acceptance criteria.
Data access, model evaluation, privacy, latency and operating cost inform the design. Human review and controlled tool permissions are built around the use case.
Timing depends on technical fit, availability, access and onboarding. Agree a realistic starting point in the proposal.
Agree review points and acceptance criteria at the start. Review working changes, demonstrations and test evidence against that plan.
Source, documentation and operating ownership are agreed in the scope. Ongoing support and service levels are defined separately.
A clear brief or a half-formed idea.
Start with what you know.