Typical work
What we can take on
- Private knowledge assistants using approved documents/data
- RAG architecture and data-source preparation when included in the engagement
- Internal chat assistants
- Role-specific copilots
- AI agents for repeatable multi-step tasks
- Tool / API integration
- Human approval gates for sensitive actions
- Testing, logging and usage controls
Common reasons clients bring us in
- Staff waste time searching policies, SOPs or project documentation
- A generic public chatbot cannot safely access internal data
- A repetitive process requires several systems and manual handoffs
- The organization wants an agent but needs boundaries and auditability
How we work through it
The important work is not the chat box. It is deciding what the assistant is allowed to know, what it is allowed to do, how sources are refreshed, and where a person must review the result.
The workflow, integrations, permissions and approval points are documented. Customer data and business rules remain under customer control, and sensitive actions can require human approval.