Operations
- “How do we refund a customer?”
02 · Team
Team Knowledge & Onboarding
Turn your company knowledge into a private AI workspace employees can actually use.
This is a development package, configured around your data, workflows and tools — not an off-the-shelf product.
Discuss a projectWho it is for
Teams whose answers live in documents, chats and people's heads — and who want a private assistant that can find, cite and explain how the company actually works.
Typical flow
- Company documents, policies, guides, SOPs and FAQs
- Structured searchable knowledge layer
- Private AI assistant
- Employees ask questions
- Answers grounded in company sources
Example implementations
Illustrative shapes — not case studies.
Sales
- “Where is our proposal template?”
Onboarding
- “I'm joining the sales team. What should I learn this week?”
Finance
- “What is our process for approving an invoice?”
What we can build and connect
We can build and connect what your flow requires. Nothing here is a one-click marketplace.
- Document import into a private knowledge base
- Semantic search and grounded Q&A with source links
- Categories and access permissions
- Onboarding material and simple checklists
- Role-specific knowledge and employee FAQs
- SOP retrieval and drafts of new instructions
- Integration with existing knowledge sources
What is customized
- Which sources are in scope
- Who can see which categories
- How onboarding is sequenced for each role
- Where the assistant lives (internal site, chat, or both)
What this could look like
A new hire asks how refunds work. The assistant answers from the current policy, links the source document, and points to the two related SOPs — instead of waiting for someone on Slack. This is knowledge retrieval and simple onboarding, not a full LMS.
How development runs
- 01 Understand the workflow
We start from the job to be done — the questions customers ask, the documents employees need, or the process that repeats.
- 02 Reuse proven open-source components
Client projects start from the same tools we maintain for ourselves: knowledge, agents, observability and admin.
- 03 Build the missing UI and integrations
We provide the foundation and build the business-specific layer around it — data, workflow and existing tools.
- 04 Deploy and test in your environment
Self-host or deploy with us. We are not locked to a single AI provider, and neither are you.
- 05 Iterate from real usage
The first version is meant to be used. We tighten prompts, retrieval and handoff from actual traffic — not from a slide deck.
Discuss this package
Tell us the workflow. We will say what can be built on the existing foundation and what has to be written for you.
Discuss a project
A rough description is enough.