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.

All comparisons

Decision Intel vs Cloverpop

Cloverpop logs decisions; Decision Intel audits them.

Decision Intel vs Cloverpop

Cloverpop logs decisions; Decision Intel audits them.

What Cloverpop does well

Cloverpop is positioned as a decision system of record. Logging, voting, accountability, and post-decision retrospectives. Strong adoption in mid-market product and operations teams; acquired by Clearbox Decisions in September 2025 for enterprise commercialisation.

Where Decision Intel is different

Decision Intel audits the reasoning chain BEFORE the decision is logged. The 22-bias canonical taxonomy fires on the memo text; Cloverpop has no bias detection layer. The 143-case reference library and the Recognition-Rigor Framework anchor the calibration; Cloverpop has no academic anchor of comparable depth. Cloverpop logs decisions; Decision Intel audits them.

Axis	Decision Intel	Cloverpop
Decision logging + accountability	Built-in via Decision Knowledge Graph	Core product capability
Cognitive bias detection on memo text	22-bias canonical taxonomy with stable IDs and academic citations	Not in product
Compound failure-pattern detection	22×22 pairwise interaction matrix; named patterns (Coherent Confidence, Reference-Class Blindness)	Not in product
Historical reference-class forecasting	143-case public library, similarity-scored per audit	Customer-decision history only, no public anchor
Procurement-grade audit-trail artefact (DPR)	Hashed + tamper-evident, EU AI Act Art. 14 mapped, ES fingerprint bound	Decision log export; no cryptographic fingerprint, no regulatory mapping
Per-org Brier-scored calibration	Active on every audit; methodology version 2.4.0	Internal analytics; no published calibration discipline
Regulatory mapping across 19 frameworks (G7, EU, GCC, African markets)	Every bias finding carries its regulatory exposure inline	US-centric; no multi-jurisdiction regulatory layer

FAQ

When would I pick Cloverpop over Decision Intel?

When your primary need is decision LOGGING (capturing what was decided, by whom, with what dissent) for a high-volume mid-market product/ops team. Cloverpop has years of adoption depth in that motion. Decision Intel is the wrong tool if you do not need the reasoning audit on memo text BEFORE the decision is logged.

Do the two products overlap?

Cloverpop and Decision Intel are complementary, not substitutes. Cloverpop logs; Decision Intel audits. A team running both gets the audit-then-log workflow; most teams pick one based on which gap is most binding.

Other comparisons

vs IBM watsonx.governance

IBM audits the model; Decision Intel audits the human reasoning.

vs Aera Technology

Aera automates supply-chain decisions; Decision Intel audits strategic ones.

vs Palantir

Palantir is data-platform infrastructure; Decision Intel is the reasoning-audit layer above it.

vs ChatGPT (or general-purpose LLMs)

ChatGPT is a general-purpose LLM; Decision Intel is a purpose-built reasoning-audit engine.

vs McKinsey (or any strategy consultancy)

A McKinsey engagement is a one-time deliverable; Decision Intel is always-on infrastructure.

Run the audit on a real memo.

The category claim is the H1. The category proof is the artefact. Paste a strategic memo and see the audit run end-to-end, free.

Run the live demo

Cloverpop logs decisions; Decision Intel audits them.

What Cloverpop does well

Where Decision Intel is different

Axis	Decision Intel	Cloverpop
Decision logging + accountability	Built-in via Decision Knowledge Graph	Core product capability
Cognitive bias detection on memo text	22-bias canonical taxonomy with stable IDs and academic citations	Not in product
Compound failure-pattern detection	22×22 pairwise interaction matrix; named patterns (Coherent Confidence, Reference-Class Blindness)	Not in product
Historical reference-class forecasting	143-case public library, similarity-scored per audit	Customer-decision history only, no public anchor
Procurement-grade audit-trail artefact (DPR)	Hashed + tamper-evident, EU AI Act Art. 14 mapped, ES fingerprint bound	Decision log export; no cryptographic fingerprint, no regulatory mapping
Per-org Brier-scored calibration	Active on every audit; methodology version 2.4.0	Internal analytics; no published calibration discipline
Regulatory mapping across 19 frameworks (G7, EU, GCC, African markets)	Every bias finding carries its regulatory exposure inline	US-centric; no multi-jurisdiction regulatory layer

FAQ

When would I pick Cloverpop over Decision Intel?

Do the two products overlap?