Consulting / GenAI on our own data
GenAI on your own data, with sources you can trust
Generic chatbots do not know your policies, products or customers. We build assistants and agents that answer from your own documents and systems, show their sources and respect who may see what.
Sounds familiar?
- People spend hours searching documents and old emails
- A chatbot pilot that gives wrong or made up answers
- Worries about data leaving the company
- No way to measure if the AI is right
How we do it
Pick the use case
One high value question set and the documents and systems behind it.
Build the retrieval
Search over your data with access rules, so answers come with sources.
Evaluate
A test set of real questions and a score before anyone uses it.
Roll out and watch
Live with monitoring, feedback and a human handover.
Typical timeline: A working proof on your data in 2 to 3 weeks; production in 6 to 10 weeks.
Questions buyers ask
Will our data be used to train public models?
No. We use enterprise settings or models you host, and your data stays yours.
Which models do you use?
Azure OpenAI, Bedrock, Gemini, Claude or open models, chosen for your rules and budget.
Can it act, not just answer?
Yes, agents can take approved actions in your tools with a human approval step.
How do we know it is right?
Every release is scored on a test set, and each answer shows its sources.
Start with a free call
Tell us what runs today and where you want to be. A senior architect replies within one business day.
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