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PRACTICE · 03

Knowledge Systems & AI Assistants

We build internal AI assistants that answer staff questions in plain English, cited against your own documents. RAG-based architectures pull from your SOPs, Drive, Notion, and Slack so answers are grounded in what your business actually does — not a generic language model. Engagements run 3–4 weeks and include HIPAA-aware architecture options for clinical and regulated environments.

How clients engage with this practice

Knowledge system engagements begin with a document audit — we inventory what you have, identify gaps, and define the retrieval scope. The assistant is built against a curated index, not a dumped file tree. Precision matters: a bad retrieval pipeline produces confident wrong answers, which is worse than no system at all.

Clinical clients receive a HIPAA-compliant deployment path on AWS Bedrock with private vector storage. General business clients have the option of a Cloudflare Workers deployment for low-latency, edge-side retrieval. Retainer support covers re-indexing as your documentation evolves.

READY TO START

Every engagement begins with an audit.

A 60-minute scoped intake that maps your workflows, identifies the highest-leverage automation opportunity, and tells you exactly what it would cost to build.

Start with an audit →