- phaseImplementation
- engagementProject
The problem this solves
Employees paste questions about pricing, products and procedures into ChatGPT on personal accounts. The answers are generic or wrong, because the model doesn’t know your documents, and company files end up in tools you don’t control.
How I work
The questions your team asks most often come first: who asks, about what, and which documents the answer should come from. We also agree on which data the assistant must never see and where data is processed.
I build the assistant on Claude with custom code in Node or Python, on AWS. I prepare your documents, price lists and procedures so the assistant answers from them and cites the source. Only the people you choose have access, and conversations are logged. Before handover I test the assistant on questions from your team, and at first a person approves every answer that goes out to customers.
What you get
- A list of questions and the sources the assistant answers from
- A Claude-based assistant with access for the people you choose
- Rules for which data the assistant never processes
- A conversation log
- Test results on questions from your team
- Instructions for adding new documents to its knowledge
What usually goes with this service 2

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