Decision intelligence is the discipline of engineering how organisations make decisions: modelling the decision itself — its inputs, its logic, its authority, its outcome — rather than only the data around it. Its unit of work is a decision with evidence, not a chart with implications.
The practical difference from analytics is accountability. Analytics ends at insight and hands the risk to a human's interpretation; decision intelligence carries through to a recommended action with its reasoning exposed, its policy basis cited, and its approval path defined.
Measured well, decision intelligence programs track decision latency, decision quality against outcomes, and the fraction of decisions that arrive with complete evidence — operational metrics, not dashboard engagement.
This vocabulary is implemented, not aspirational — it describes how the MAIA substrate actually runs. See the platform or read the research.