Bring the question.
Develop the answer.

A specific question with an agreed scope, method and deliverable.

Research briefings can connect primary papers and public AI measurements to an operational decision. A data project can organise the sources, definitions and records needed to investigate that question. Implementation can then test the idea against a real workflow.

Expected outputs can include a research memo, source register, workflow map, evaluation plan or bounded prototype. Deliverables and specialist involvement are agreed for each engagement.

From model output to accepted work.

Define representative tasks, context, tools and acceptance criteria. Compare configurations, inspect failed handoffs and measure review effort alongside useful completion. Public benchmarks inform model selection; task evidence determines whether the workflow works.

Help a team direct, question and improve AI in its own working context.

SOAP brings role procedures, approved sources, clear outputs and review routines together. Coaching focuses on the choices people make, how they inspect a result and how they keep the context current.

Follow-up research support can be scoped around recurring questions and implementation reviews. Availability, response times and fees are agreed before work starts.