RAG Pilot

A production-grade retrieval-augmented generation pilot on your data: ingestion, retrieval, evaluation harness, and a working interface — with acceptance criteria agreed before work starts.

01 / What you get

Working RAG system on your documents and your cloud (Amazon Bedrock or Azure OpenAI)
Ingestion pipeline with chunking, embeddings, and refresh strategy
Evaluation harness with retrieval and answer-quality metrics you can re-run
Security posture appropriate to your data classification
Handover session and a written scale/stop recommendation

02 / How it runs

[01]Week 1: data audit, architecture, acceptance criteria in writing
[02]Weeks 2–4: build, with a working system in your hands by mid-engagement
[03]Final week: evaluation against the agreed criteria and the honest readout

03 / Who it's not for

Verdict: not a fit if…

Teams without at least a few hundred documents or records worth retrieving over
Use cases where a fine-tune or plain search would be cheaper — we’ll say so in week one

If one of these is you, the fit call will say so — that's the point of it.