Quantifying
the unknown.
The Challenge
Venues rely on gut feel and promoter assurances to assess crowd risk, reputational exposure, and operational complexity. When a high-profile act goes wrong, the venue absorbs the fallout.
The Protocol
Dual-AI agent (OpenAI + Grok) generates structured risk reports before shows are confirmed. Dual-model verification catches blind spots a single model would miss.
Risk Score History (Dual-Model Average)
Agent Activity Log
The Dual-Model Approach
A single AI has blind spots. When one model flags a crowd risk the other misses, the system catches it. By running OpenAI and Grok in parallel and cross-referencing their outputs, the agent produces assessments that neither model could deliver alone. This is about trust in the output, not just automation.
Instead of a spreadsheet of scores, venue teams get a structured intelligence report with actionable watch-fors their security teams can brief on before doors open. The agent does the research a venue team would spend days on, in minutes.
Webhook Request → Dual-Model Analysis → Risk Intelligence Report