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DecisionOS_v2: A Multi-Agent Workflow for Evidence-Based Business Decisions

Year: 2026

Type: preprint

Abstract: This paper presents DecisionOS v2, a prototype workflow for evidence-based business decisions that distributes tasks across six software roles: Orchestrator, Data, Analysis, Risk, Recommendation, and Report. The workflow combines document retrieval, predictive models, risk review, a rule-based confidence indicator, and human approval. Existing project materials report preliminary results for customer-churn classification and sales forecasting. These predictive metrics do not establish the decision quality of the complete workflow. The paper defines a reproducible evaluation plan to compare the system with simpler alternatives, examine individual components, and assess evidence support, decision quality, latency, and cost.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23756653

Authors: Somashekar, P J, Shreyas, R, Nayak, Sourav Brave, B K, Karthik, Chinmayi, C N, Rumana, Mushtaq

Language: English

Topic: Decision Support System Applications

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7224294038

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