Decision Intelligence Architecture™: A reference architecture for connecting signals, context, decision logic, human review, actions, and measurable outcomes

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Authors: Rakesh Kumar Agrawal
Cited by: 1

Abstract

The modern enterprise has more data, analytics, AI models, dashboards, and recommendations than ever, yet importantdecisions often remain fragmented across meetings, spreadsheets, inboxes, workflow tools, and undocumented judgment.The central challenge is not simply generating intelligence. It is connecting intelligence to accountable decisions andmeasurable outcomes.The Decision Intelligence Architecture™ provides a four-layer reference model: Signals, Inference & Context, DecisionLogic, and Human Review. These layers connect evidence to recommendations, approvals, escalation, actions, andoutcomes while preserving traceability and accountability.The architecture is designed for executive, operational, and AI-assisted decision environments. It can support human-leddecisions, AI-assisted decisions, and bounded automation where governance and risk conditions permit.

Fields of Study & Subjects

Big Data and Business Intelligence AI-based Problem Solving and Planning Competitive and Knowledge Intelligence

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 July 2026