Internal Knowledge Agent
Your company's collective brain, asked in plain English.
Overview
A retrieval-augmented agent that answers employee questions across your wiki, Slack, Google Drive, Notion, GitHub, and ticketing systems, with citations to the source.
Architecture
Code shape
1export const knowledge = agent({2 model: "claude-sonnet-4",3 retrieval: permissionAware({4 sources: [notion, drive, slack, github],5 filterByUserAcl: (user) => user.permissions,6 }),7 answerStyle: "with-citations",8 abstainOn: "no_authoritative_source",9});Illustrative. Actual implementation varies per integration. Code ships in your GitHub org.
Who it's for
- →Companies 50–500 people drowning in 'where do I find...' Slack threads
- →Teams with strong docs but weak discoverability
- →Customer-facing teams that need fast internal answers
Outcomes
- ✓Onboarding time cut 30–50%
- ✓Hours of weekly Slack-question drag eliminated
- ✓Knowledge that scales with the company instead of bottlenecking on senior staff
Capabilities
- ·Connectors for Notion, Google Drive, Slack, Confluence, GitHub, Jira, Zendesk
- ·Permission-aware retrieval that surfaces only what the asker can access
- ·Citation-first answers (every claim links to a source)
- ·Slack and web UI
- ·Usage analytics and content-gap reports
Stack
- ▸Anthropic Claude for synthesis
- ▸Vector store: Turbopuffer or pgvector
- ▸Auth: SSO via Okta / Google / Microsoft
- ▸Permission model honored at retrieval time
- ▸Slack app + lightweight web UI
FAQ
How do you handle permissions and confidentiality?
Retrieval respects source-system ACLs. If a user can't open a doc in Notion, the agent won't surface it for them. We never copy data outside your cloud unless explicitly requested.
What about data going to LLMs?
We support Anthropic and OpenAI on zero-retention contracts, or fully on-prem deployments using open-weights models for customers with stricter requirements.
Want a tailored scope for this engagement?
20 minutes on a call. We'll walk through your specific environment, integrations, and constraints, and follow up with a fixed-fee proposal.