Will our documents train a public model?
No. The system is designed so your documents remain your data and are not used to train public models.
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AI Assistant Development
Practical AI Assistant Development
A useful business assistant needs more than a chat box. It needs the right knowledge, clear permissions, reliable retrieval, measurable evaluations, and a workflow for handling uncertainty.
Discuss your projectA strong fit for
- Teams answering the same internal questions repeatedly
- Organizations with SOPs and knowledge scattered across files
- Support or operations teams that need faster research and drafting
- Businesses exploring agents without committing to a large platform
What the engagement can include
- Knowledge-source and permission design
- Retrieval, prompt, and tool orchestration
- Evaluation set based on real business questions
- Secure deployment and access controls
- Training, monitoring, and iteration plan
What changes after the build
Faster access to company knowledge
More consistent answers and drafts
Clear evidence of where the system works and where it does not
A maintainable system rather than a one-off demo
Common questions
How do you measure whether an assistant is accurate?
We build an evaluation set from representative questions, expected answers, required sources, and failure cases, then test changes against it.
Can the assistant take actions?
Yes, when the use case justifies it. Tool access is permissioned and high-impact actions can require human confirmation.
Have a workflow or product in mind?
We can start with a defined build or shape an ongoing engineering partnership around the work.
Book a free call