Concept
Decision Intelligence
Decision Intelligence combines trusted data, semantic understanding, knowledge, AI, and human judgement to improve decision quality.
Position in the Trusted Data Framework
Decision Intelligence
Living Graph View
Decision Intelligence in the concept network
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Relationship Matrix
Decision Intelligence as a network node
Uses AI reasoning as one input into decision support.
Requires evidence to make recommendations defensible.
Only improves decisions when data, evidence, governance, and accountability are trusted.
Concept Relationships
How Decision Intelligence works with other concepts
Uses AI reasoning as one input into decision support.
Requires evidence to make recommendations defensible.
Only improves decisions when data, evidence, governance, and accountability are trusted.
Definition
Decision Intelligence is a discipline for designing decision processes around data, knowledge, models, evidence, and accountable human judgement.
Role in the Trusted Data Framework
Represents the outcome of the Trusted Data Framework: from data to decisions.
Practical Examples
- Infrastructure investment decision
- Policy prioritisation
- Operational intervention
- AI-ready assessment
Prototype Direction
- consulting-navigator
- assessment-brief-generator
Consulting Questions
- What problem does this concept help diagnose in the client environment?
- Which upstream concepts must be in place before this concept becomes reliable?
- What evidence would prove that this concept is working in practice?