All Work
Internal Operations

Gave a 200-person team instant answers to questions that used to take hours.

A scaling company was drowning in internal knowledge spread across docs, Notion, Slack, and tribal memory. New hires took months to ramp. Experienced employees wasted hours finding information. We built an agent that knows everything.

90%
Drop in internal 'where is X' requests
4 hr → 2 min
Average time to find accurate information
< 3 weeks
New hire time-to-productive

The Problem

Every question an employee couldn't answer quickly was a hidden cost. 'Where is the client contract template?' 'What's our pricing for enterprise?' 'What did we decide about the refund policy?' These questions went to Slack, pulled people out of focus, and sometimes still came back with the wrong answer. At scale, this compounds into thousands of hours and avoidable mistakes.

The Solution

We built an internal knowledge agent that sits across all their existing tools — Notion, Google Drive, Confluence, past Slack threads — and gives accurate, source-cited answers in seconds. The system uses retrieval-augmented generation with a custom reranking layer to ensure answers are always grounded in real documents. A fallback mechanism flags uncertainty instead of hallucinating, so teams can trust what it says.

Live Demo

Ask a real employee question and watch the agent search, rank, and answer with source citations.

Internal Knowledge Agent
💬

Click “Ask Question” to see the knowledge agent answer a real employee query

Sources Searched
📄Notion — HR & Company Policies
📁Google Drive — Legal Docs
📚Confluence — Finance SOPs
💬Slack — #finance-team history
Sources are searched in parallel and ranked by relevance. Low-confidence answers are flagged rather than guessed.

Workflow in Action

Workflow Engine
💬
Employee Query

Asked in Slack, web app, or via API

📚
Multi-Source Retrieval

Searches Notion, Drive, Confluence, past threads

⚖️
Reranking Layer

Scores results by relevance and recency

🛡️
Confidence Check

High confidence → answer. Low → fallback to source

Answer Generator

Precise, source-cited answer returned in seconds

🔁
Feedback Loop

Corrections feed back to improve future accuracy

Tech Stack

PythonLangGraphClaude APIOpenSearchPineconeNotion APIGoogle Drive APIFastAPIRedisDockerAWS

Client Feedback

We went from a company where information lived in people's heads to one where any question gets a reliable answer in seconds. Onboarding is faster, fewer mistakes happen, and my team isn't constantly interrupted. It's become infrastructure we can't imagine working without.

H
Head of Operations
Scale-up, 200+ employees

Want something like this for your business?

Every system I build starts with understanding your specific workflow. Let's talk about what's slowing you down.

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