How is sensitive data protected?

All documents are encrypted with AES-256-GCM at rest and TLS 1.2+ in transit. A GDPR anonymization layer removes PII before any AI processing. Hosted on Vercel + Supabase (both SOC 2 Type II); Decision Intel’s own product-level audit is targeted for Q4 2026.

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 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 Solyndra's collapse?

5 bias patterns are documented in this case, led by Overconfidence Bias. The full set: Overconfidence Bias, Confirmation Bias, Planning Fallacy, Anchoring Bias, Bandwagon Effect. 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

Solyndra

Solyndra Bankruptcy

Estimated impact: $535M

F17

Decision Quality Index (simulated)

Critical · 5 biases detected, 1 toxic combinations

Solar panel manufacturer Solyndra received a $535 million federal loan guarantee and then filed for bankruptcy within two years. The company's cylindrical panel design was more expensive than conventional flat panels, and plummeting silicon prices destroyed its cost advantage. Leadership and government backers ignored market signals indicating the technology was economically unviable.

Decision context

Whether to extend a $535 million federal loan guarantee to Solyndra despite declining silicon prices that were eroding the company's cost competitiveness against conventional solar panels.

Decision anatomy

Monetary stakes

High

Dissent suppressed

Time pressure

Present

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

★Overconfidence Bias

critical

Confirmation Bias

high

Planning Fallacy

medium

Anchoring Bias

high

Bandwagon Effect

medium

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

3D Decision Knowledge Graph

Solyndra · 5 biases, 1 toxic combination

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

!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

Overconfidence in a differentiated technology can blind investors to commodity price dynamics that undermine the value proposition.
Planning fallacy in clean energy ventures often overestimates market adoption timelines and underestimates competitive threats.
Government loan guarantees should incorporate dynamic reassessment triggers tied to market condition changes.

Source: U.S. House Energy and Commerce Committee Investigation (2011); DOE Loan Programs Office records (Case Study)

Pilot slots available

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

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Workflows that fire on decisions like Solyndra’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

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Decision pre-mortem

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Lessons learned

Overconfidence in a differentiated technology can blind investors to commodity price dynamics that undermine the value proposition.

Planning fallacy in clean energy ventures often overestimates market adoption timelines and underestimates competitive threats.

Government loan guarantees should incorporate dynamic reassessment triggers tied to market condition changes.