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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 Greensill Capital's collapse?

5 bias patterns are documented in this case, led by Authority Bias. The full set: Authority Bias, Confirmation Bias, Overconfidence Bias, Bandwagon Effect, Groupthink. 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 failureFinancial Services2021

Greensill Capital

Greensill Capital Collapse

Estimated impact: $10B+ in frozen funds; 3,000+ jobs at risk in GFG Alliance

F14

Decision Quality Index (simulated)

Critical · 5 biases detected, 2 toxic combinations

Supply chain finance firm collapsed when Credit Suisse froze $10B in linked funds. Greensill had been financing "prospective receivables" (invoices that didn't yet exist) and concentrated exposure in Sanjeev Gupta's GFG Alliance.

Decision context

Founder Lex Greensill convinced Credit Suisse asset management and SoftBank to back increasingly aggressive lending against future receivables. Insurance coverage from Tokio Marine was not renewed but this was not disclosed to fund investors.

Decision anatomy

Monetary stakes

Very high

Dissent suppressed

Yes

Time pressure

None

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

★Authority Bias

critical

Confirmation Bias

high

Overconfidence Bias

high

Bandwagon Effect

medium

Groupthink

high

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

3D Decision Knowledge Graph

Greensill Capital · 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

!Yes Committee

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

!Echo Chamber

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

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

Supply chain finance against prospective receivables is unsecured lending in disguise
Insurance coverage status must be continuously verified, not assumed
Concentration risk in a single counterparty defeats the purpose of diversified trade finance

Source: UK Parliament Treasury Committee report on Greensill Capital, 2021; FT investigation (News Investigation)

Pilot slots available

We caught these patterns in Greensill Capital's own record — before the outcome.

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Workflows that fire on decisions like Greensill Capital’s

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

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All case studies

Catastrophic failureFinancial Services2021

Greensill Capital

Greensill Capital Collapse

Estimated impact: $10B+ in frozen funds; 3,000+ jobs at risk in GFG Alliance

F14

Decision Quality Index (simulated)

Critical · 5 biases detected, 2 toxic combinations

Decision context

Decision anatomy

Monetary stakes

Very high

Dissent suppressed

Yes

Time pressure

None

Unanimous consensus

Yes

Decision participants

Dissent encouraged

External advisors

Iterative process

Red = risk factor present · Green = protective factor present

Biases present in the decision

★Authority Bias

critical

Confirmation Bias

high

Overconfidence Bias

high

Bandwagon Effect

medium

Groupthink

high

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

3D Decision Knowledge Graph

Greensill Capital · 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

!Yes Committee

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

!Echo Chamber

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

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

Supply chain finance against prospective receivables is unsecured lending in disguise
Insurance coverage status must be continuously verified, not assumed
Concentration risk in a single counterparty defeats the purpose of diversified trade finance

Source: UK Parliament Treasury Committee report on Greensill Capital, 2021; FT investigation (News Investigation)

Pilot slots available