How is sensitive data protected?

All documents are encrypted with AES-256-GCM at rest and TLS 1.3 in transit. A GDPR anonymization layer removes PII before any AI processing. Your data never leaves our SOC 2 certified infrastructure.

How long does integration take?

Less than 30 minutes. Upload documents directly, connect via OAuth for Slack, or use our REST API for bulk processing.

How does outcome tracking work?

Outcomes are detected automatically from follow-up documents, Slack messages, and web intelligence. You confirm with one click. Each reported outcome makes your future analyses more accurate.

How is Decision Intel different from ChatGPT?

ChatGPT gives one opinion from one model. Decision Intel uses 3 independent judges for noise measurement, a 20×20 bias interaction matrix for compound scoring, 31 domain-specific biases, and an outcome flywheel that gets smarter with every decision.

All case studies

Catastrophic failureEnergy2021

Electric Reliability Council of Texas

Texas ERCOT Winter Storm Power Crisis

Estimated impact: $195B economic damage; 246 deaths

F14

Decision Quality Index

Critical — 5 biases detected, 2 toxic combinations

Winter Storm Uri caused catastrophic power grid failure in Texas, leaving 4.5 million homes without power for days in freezing temperatures. 246 people died. ERCOT and Texas regulators had rejected winterization requirements after a similar 2011 event, citing costs.

Decision context

Whether to mandate and enforce winterization standards for power generation and natural gas infrastructure after the 2011 winter storm exposed the same vulnerabilities.

Deep hindsight-stripped analysis coming soon. This case is part of our ongoing backfill to reconstruct what the platform would have flagged at decision time. The summary and bias profile below are drawn from primary sources.

Biases present in the decision

★ Recency BiasAvailability HeuristicCognitive MiseringLoss AversionHindsight Bias

3D Decision Knowledge Graph

Electric Reliability Council of Texas — 5 biases, 2 toxic combinations

Drag to rotate · Scroll to zoom · Click to explore

Decision

Critical

High

Medium

Toxic

Bias Intensity Profile

Severity × confidence across 5 detected biases

Toxic combinations

Recency Spiral
Status Quo Lock

Reference class base rates

Across all 146 curated case studies in our library:

90%

base failure rate

10%

base success rate

Lessons learned

Recency bias: a decade of mild winters after 2011 eroded the urgency of winterization mandates
The exact failure modes from 2011 recurred in 2021 because recommendations were advisory, not mandatory
Hindsight bias: the 2011 FERC/NERC report explicitly predicted the 2021 failure, but its recommendations were ignored

Source: FERC/NERC Joint Report on February 2021 Cold Weather Grid Operations (2021); Texas House Committee Investigation (Post Mortem)

Pilot slots available

See what we'd flag in your next strategic memo.

Upload a strategic memo or board deck. Get the same bias audit you just saw for Electric Reliability Council of Texas, on your own high-stakes call, in under 60 seconds.

Try the Demo — Free Request a Pilot

Or leave your email, we'll run a strategic memo of your choosing and send the readout within a business day.

Ready to audit your own memo right now? Create a free account →

Related cases in Energy

Catastrophic failure2010

BP Deepwater Horizon Oil Spill

Catastrophic failure2015

General Electric

GE Alstom Power Acquisition

Catastrophic failure2018

Pacific Gas and Electric

PG&E Camp Fire Liability

Lessons learned

Recency bias: a decade of mild winters after 2011 eroded the urgency of winterization mandates

The exact failure modes from 2011 recurred in 2021 because recommendations were advisory, not mandatory

Hindsight bias: the 2011 FERC/NERC report explicitly predicted the 2021 failure, but its recommendations were ignored