Personal AI
Generic AI assistants know everything about the world and nothing about your business. We build AI systems grounded in your own documents, procedures and data — so your team gets answers that are actually relevant, accurate and safe to act on.
Who it's for
Teams that spend too long hunting for information, answering the same internal questions repeatedly, or doing knowledge work that follows predictable patterns.
Use cases
Internal knowledge assistant
An AI that has read your procedures, contracts, product specs and FAQs, and can answer staff questions instantly — with citations back to the source document.
Meeting summaries & action items
Connect to your calendar and meeting tool so every call produces a structured summary and a list of action items, ready in your inbox before you've closed your laptop.
Email drafting assistant
An assistant that knows your tone, your products and your standard responses — so drafting a client email takes thirty seconds instead of ten minutes.
Onboarding & training companion
New team members ask the assistant rather than interrupting colleagues. It answers from your handbook, escalates gaps, and highlights what it doesn't know.
What's included
- RAG on own documents
- Intranet chatbot
- Meeting summaries
- Email drafting
- Knowledge base management
FAQ
What's RAG and why does it matter?
RAG (Retrieval-Augmented Generation) means the AI looks up relevant parts of your own documents before answering. It dramatically reduces hallucinations and means answers are grounded in your actual content — not guesswork.
Is our data sent to OpenAI or Anthropic?
Your documents are processed through the model's API during retrieval, but we configure data-handling and retention settings carefully. For sensitive data, we can use self-hosted models that never leave your infrastructure.
How do we keep the knowledge base up to date?
We build an update pipeline — you drop a new document in a folder, it's indexed automatically. No manual steps needed after initial setup.