Knowledge assistants and drafting copilots that answer from your own documents, with sources.
Engagement
Fixed-scope project · 6–10 weeks
What it is
We build GenAI applications over your company data using retrieval-augmented generation (RAG): knowledge assistants, document Q&A, drafting copilots and internal chat. Answers cite their sources, sensitive data is redacted, and quality is tested before every release.
Who it's for
HR, legal, operations, sales and support teams working through large volumes of documents.
The outcome
Answers in seconds with sources. In leadership experience, about 40% of routine HR queries were automated.
Step 1
Use-case definition
Agree users, questions, sources and success measures.
Step 2
Data preparation
Collect, clean and permission the source documents.
Step 3
Build and evaluate
Iterate retrieval and prompts against a test set of real questions.
Step 4
Pilot
Release to a user group and measure accuracy and deflection.
Step 5
Roll-out
Wider launch with training and monitoring.
Yes. Retrieval checks the user's existing access rights, so people only see answers from documents they are allowed to read.
Common sources include SharePoint, Google Drive, Confluence, file shares, ticketing systems and databases. Others can be connected through APIs.
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