Use business-level descriptions only. Do not enter personal, financial, legal, HR or customer records.
AI Business Analyst
Talk through the messy bits.
A voice-led discovery call that asks better questions, captures real pain points, checks risk and turns the conversation into a practical AI Opportunity Brief.
MVP call flow
Run a structured analyst conversation, not a generic AI chat.
The live voice connection uses the backend endpoint in /Server. The demo mode lets you
test the product experience before adding keys or deploying the server.
Start a call or run the demo to see the analyst conversation here.
Draft report
Generate an AI Opportunity Brief from the call.
Run the demo or complete a voice call, then generate a structured brief with pain points, opportunity scoring, responsible AI boundaries and a capability path.
Generated reports will appear here for review, reuse and pain-point pattern spotting.
Data and review
Keep the analyst useful, practical and bounded.
The launch version should collect enough context to map a workflow, but not sensitive data that belongs in approved business systems.
The generated brief is a draft. It should be checked for accuracy, risk and practical fit before it goes to a client.
Pain-point records should help improve the question bank and offer design without exposing identifiable detail.
Implementation shape
Start with web voice, then add phone once the questions are sharp.
Browser voice call
Visitor grants microphone access. WebRTC streams the conversation to the Realtime model.
Backend session endpoint
The server keeps the OpenAI key private and creates the realtime session from the SDP offer.
Structured extraction
Transcript becomes pain points, opportunities, risk notes and recommended capability steps.
Human review
Early reports should be checked before sending, improving the question bank each time.