Knowledge Extraction
Enterprise platforms charge six figures to connect to your systems and extract what people know. We do the same thing through a WhatsApp conversation. Same analytical rigor. No connectors, no dashboards, no IT integration.
Enter your number and we'll send you a message to start the interview. Answer on your phone, at your own pace.
The Problem
The enterprise approach: connect AI to every system, run thousands of agents, pay six figures a year. That works if you're HubSpot. For everyone else, there's a faster way — just ask the right questions.
Weeks of scheduling. Hours of interviews. Notes that go stale before they're formatted. Billed by the day.
Months of integration. Connectors to every system. A dashboard nobody opens. Six-figure annual contracts.
Open WhatsApp. Answer questions at your pace. Get a structured report with findings, inconsistencies, and next steps. Done in 30 minutes.
How It Works
Scan a QR code or type on our web chat. The AI introduces itself and starts a structured interview tailored to your domain.
One question at a time. Vague answers get follow-ups. Facts get cross-referenced. Inconsistencies get flagged — diplomatically. Nothing slips through.
A PDF with severity-rated findings, evidence quotes, red flags, contradictions, and exactly what needs deeper investigation. Delivered in the same chat.
"We watched companies spend months integrating knowledge extraction platforms — and the knowledge was already outdated by the time they launched. The fastest path to what people actually know is just asking them the right questions, in the right order, and not accepting vague answers. That's what this does."
— The team at Hive Mechanics
Why This Is Different
The same techniques that six-figure platforms use to surface operational knowledge — inconsistency detection, cross-referencing, gap analysis — delivered through a chat anyone can have on their phone.
Enterprise platforms detect contradictions in ticket data. This does it in real time — rephrasing questions later in the conversation and flagging when answers don't match.
Every number, name, and date is tracked. When message 18 contradicts message 4, the AI doesn't let it go. It asks — politely — about the discrepancy.
The hardest part of knowledge extraction is that people think they've explained something when they haven't. This AI keeps probing until it has dates, names, and specifics.
Knowledge doesn't always come as text. Send voice notes, photos of whiteboards, PDF procedures — it all gets processed and woven into the analysis.
Enterprise platforms produce playbooks. This produces structured findings — severity ratings, evidence, contradictions, gaps, and what to investigate next. Same depth, different channel.
No Jira connector. No ServiceNow API keys. No IT ticket. The person who knows how things work just opens WhatsApp and starts talking. That's the entire setup.
FAQ
ChatGPT accepts whatever you say. This AI is built to not accept vague answers — it tracks every fact stated, cross-references it later, and follows up when things don't add up. It's the difference between a chatbot and a trained interviewer with a protocol.
Operational processes, decision workflows, approval chains, compliance procedures, risk areas, IT controls — the kind of tribal knowledge that lives in people's heads and never makes it into documentation. The interview adapts to your domain.
Those platforms connect to your systems and extract knowledge from historical data — tickets, emails, chat logs. This extracts it directly from the people who hold it, through conversation. Different input channel, same analytical rigor: inconsistency detection, gap analysis, structured output. A single interview costs pennies in API usage.
15–30 minutes for most people. On WhatsApp you can pause and come back within 24 hours. On the web, there's no time limit. The AI picks up right where you left off — it remembers everything.
Conversations are processed in real-time and stored only for the duration of your session. Reports are generated on-demand and served over HTTPS. Nothing is used for model training. You control when the data disappears.
A PDF report with: executive summary, risk assessment, detailed findings rated by severity, direct evidence quotes from the conversation, inconsistency analysis, red flags, gaps identified, and what needs deeper investigation. Not a transcript — structured, actionable findings.