Knowledge · Signature research

The State of Enterprise Decisions

A proposed recurring research programme examining how organisations identify, own, govern, execute, measure and improve consequential decisions.

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Build an evidence base for the discipline.

The programme is designed to measure decision visibility, ownership, architecture, automation, observability, governance and improvement practices across sectors.

The first edition remains in programme design. No findings or benchmark statistics are claimed yet.

01Decision visibility

02Ownership and authority

03Architecture and reuse

04Automation and human review

05Outcome measurement

06DecisionOps maturity

Evidence policy

Authority requires disciplined claims.

EDAF™ separates verified facts, framework definitions, reasonable inferences, assumptions, proposals and unknowns. Candidate measures remain labelled until their methods are validated.

Primary referencesOMG · Decision Model and Notation 1.5 ↗ISO/IEC/IEEE 42010:2022 · Architecture description ↗NIST · AI Risk Management Framework ↗EUR-Lex · Regulation (EU) 2024/1689 ↗

Next step

Make one consequential decision visible.

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