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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 U.S. Department of Veterans Affairs's collapse?

5 bias patterns are documented in this case, led by Status Quo Bias. The full set: Status Quo Bias, Groupthink, Cognitive Misering, Authority Bias, Confirmation Bias. 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 failureGovernment2014

U.S. Department of Veterans Affairs

VA Health System Wait Time Scandal

Estimated impact: 40+ veteran deaths

F14

Decision Quality Index (simulated)

Critical · 5 biases detected, 2 toxic combinations

The Phoenix VA Health Care System and other facilities maintained secret wait lists to hide that veterans were waiting months for medical appointments. At least 40 veterans died while waiting for care. A culture of status quo acceptance and metric manipulation persisted across the VA system for years.

Decision context

Whether to report accurate wait times and request additional resources, or manipulate scheduling data to meet performance targets and avoid scrutiny.

Decision anatomy

Monetary stakes

Low

Dissent suppressed

Yes

Time pressure

Present

Unanimous consensus

Yes

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

Groupthink

high

Cognitive Misering

medium

Authority Bias

high

Confirmation Bias

high

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

3D Decision Knowledge Graph

U.S. Department of Veterans Affairs · 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

!Echo Chamber

Group members reinforce each other's views, systematically filtering out dissenting signals.

!Yes Committee

Authority bias meets groupthink: the group converges on whatever leadership signals it wants.

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

When performance metrics become targets rather than measures, organizations optimize for appearance over outcomes.
Status quo bias in bureaucratic institutions makes systemic problems invisible until a crisis forces external investigation.
Cognitive misering in oversight means accepting reported numbers at face value without validating underlying data.

Source: VA Office of Inspector General Report No. 14-02603-267 (2014) (Case Study)

Pilot slots available

We caught these patterns in U.S. Department of Veterans Affairs's own record — before the outcome.

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Workflows that fire on decisions like U.S. Department of Veterans Affairs’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

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Related cases in Government

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UK Post Office / Fujitsu

UK Post Office Horizon Scandal

Failure2017

Deutsche Bank

Deutsche Bank Mirror Trading Scandal

Catastrophic failure2007

Nokia

Nokia Smartphone Market Collapse

Catastrophic failure1996

ValuJet Airlines

ValuJet Flight 592 Crash

Lessons learned

When performance metrics become targets rather than measures, organizations optimize for appearance over outcomes.

Status quo bias in bureaucratic institutions makes systemic problems invisible until a crisis forces external investigation.

Cognitive misering in oversight means accepting reported numbers at face value without validating underlying data.