Start from the job to be done
We map the workflow end-to-end: inputs, decisions, exceptions, and compliance constraints. If a deterministic rule or API can solve 80% of the volume, we do that first and use models where judgment or language adds value.
Retrieval, tools, and guardrails
For knowledge-heavy tasks we combine retrieval with citation-friendly patterns where possible. For operational tasks we integrate with ticketing, CRM, or internal APIs so the system acts on facts, not hallucinated state.
Evaluation before expansion
Pilots include acceptance metrics: suggestion adoption, edit rate, escalation rate, and latency. We expand scope only when numbers justify it—avoiding organisation-wide rollouts on day one.
Privacy and vendor choices
We align on data residency, retention, and whether prompts may leave your boundary. Architecture choices (self-hosted vs API) follow those constraints—not the other way around.