The Dashboard for the Boardroom
Transforming blind decision-making into measurable, auditable corporate intelligence
1. The Problem: Betting Instead of Measuring
Companies operate blindly. They make million-dollar decisions (layoffs, mergers, launches) based on PowerPoints, intuition, and "who shouts loudest."
The Cost: $500 billion annually lost in fines, reputational crises, and strategic failures (e.g., Boeing 737 MAX, Wells Fargo, FTX).
The Gap: Tools exist to measure finances (SAP) and sales (Salesforce), but nothing exists to measure decision quality before execution.
2. The Solution: Binah-Σ
Binah-Σ is not a chatbot—it's a preventive audit system. We convert complex qualitative decisions into auditable numerical metrics (Score 0.0 - 1.0).
- Input: The proposed decision (e.g., "Should we close the Ohio plant?")
- Process: Analysis of coherence, ethics, systemic risk, and biases
- Output: A Risk Score and unintended consequences report
3. Why Now & Why Us
- Imminent Regulation: New laws (EU CSRD) require corporate decisions to be auditable and explainable
- Chatbot Fatigue: Companies tried ChatGPT and know it "hallucinates"—they seek deterministic, traceable systems
- Data Moat: Processing thousands of decisions builds the world's first corporate decision quality benchmark
