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How is Decision Intel different from ChatGPT or a general AI assistant?

ChatGPT gives one opinion from one model: ungoverned, untraceable, unaudited. Decision Intel is the reasoning audit platform. Most tools audit your data; we audit your reasoning — and catch the fatal blind spots in strategic memos before the committee does. It measures the noise in your reasoning the same way Kahneman did in the insurance underwriter study, simulates an AI boardroom of CEO, CFO, and board personas, runs what-if interventions against a 143-case public reference library, and compounds every confirmed outcome back into a calibrated Decision Quality Index your audit committee can defend. Not a chatbot; a reasoning audit, checkable from memo to outcome.

Which cognitive biases caused Tokyo Electric Power Company (TEPCO)'s collapse?

5 bias patterns are documented in this case, led by Status Quo Bias. The full set: Status Quo Bias, Anchoring Bias, Optimism Bias, Loss Aversion, Cognitive Misering. Each is mapped to Decision Intel's 22-bias R²F taxonomy with stable IDs and academic citations.

What is Decision Intel's reasoning audit?

Decision Intel runs a 12-node Recognition-Rigor Framework (R²F) pipeline on strategic memos, detecting cognitive biases from a 22-bias canonical taxonomy and producing a Decision Quality Index (DQI) score. The audit produces a hashed, tamper-evident Decision Provenance Record (DPR) suitable for audit-committee review.

All case studies

Catastrophic failureEnergy2011

Tokyo Electric Power Company (TEPCO)

Fukushima Daiichi Nuclear Disaster

Estimated impact: $200B+ cleanup costs; 154,000 evacuees; region contaminated for decades

F14

Decision Quality Index (simulated)

Critical · 5 biases detected, 2 toxic combinations

A magnitude 9.0 earthquake and tsunami caused three reactor meltdowns at Fukushima Daiichi. TEPCO had been warned that its tsunami defenses were inadequate but resisted upgrades to avoid regulatory scrutiny and shutdown costs. The backup diesel generators were placed in basements vulnerable to flooding.

Decision context

Whether to upgrade tsunami barriers and relocate backup generators based on updated seismic and tsunami risk assessments that showed the plant's defenses were inadequate.

Decision anatomy

Monetary stakes

Very high

Dissent suppressed

Time pressure

None

Unanimous consensus

Decision participants

Dissent encouraged

External advisors

Iterative process

Red = risk factor present · Green = protective factor present

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

★Status Quo Bias

critical

Anchoring Bias

high

Optimism Bias

medium

Loss Aversion

medium

Cognitive Misering

medium

★ Primary driver · Severity estimated from bias type and decision outcome

3D Decision Knowledge Graph

Tokyo Electric Power Company (TEPCO) · 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

!Status Quo Lock

Loss aversion combined with status quo bias makes even clearly beneficial change feel impossible.

!Optimism Trap

Overconfidence and availability bias create a systematically positive outlook that ignores base rates.

Reference class base rates

Across all 143 curated case studies in our library:

89%

base failure rate

-0%

partial / mixed

11%

base success rate

■ Failure■ Partial■ Success

Lessons learned

Status quo bias: TEPCO treated existing tsunami barriers as adequate despite updated geological evidence showing larger historical tsunamis
Loss aversion around shutdown costs prevented investment in safety upgrades that were trivial relative to the eventual catastrophe
Optimism bias in nuclear safety assumes the worst case is bounded by historical experience, ignoring geological evidence of rarer, larger events

Source: National Diet of Japan Fukushima Nuclear Accident Independent Investigation Commission (NAIIC) Report (2012) (Post Mortem)

Pilot slots available

We caught these patterns in Tokyo Electric Power Company (TEPCO)'s own record — before the outcome.

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Workflows that fire on decisions like Tokyo Electric Power Company (TEPCO)’s

The same Recognition-Rigor Framework that documents this case audits memos in the same shape — before the outcome forces the lesson.

For CSOs and Heads of Strategic Planning

Strategic memo audit

Audit a strategic memo for cognitive bias and forecast errors in 60 seconds — before the board sees it.

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Decision pre-mortem

Run a structured pre-mortem before the decision is final — surface failure modes the room cannot see from the inside.

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For CSOs and CEOs presenting to a board

Board deck pre-presentation audit

Audit a board deck before the presentation — predict the toughest questions the room will ask.

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Myspace Decline and Sale

Lessons learned

Status quo bias: TEPCO treated existing tsunami barriers as adequate despite updated geological evidence showing larger historical tsunamis

Loss aversion around shutdown costs prevented investment in safety upgrades that were trivial relative to the eventual catastrophe

Optimism bias in nuclear safety assumes the worst case is bounded by historical experience, ignoring geological evidence of rarer, larger events