Agentic Enterprise Blueprint™: A blueprint for introducing governed agentic systems into enterprise workflows with bounded autonomy and human oversight

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Authors: Rakesh Kumar Agrawal
Cited by: 1

Abstract

The Agentic Enterprise Blueprint™ v1.0 is a practitioner-oriented reference blueprint for designing, governing, and operationalizing AI agents within enterprise environments. Developed by the Enterprise Intelligence Lab, the blueprint provides a structured architecture for moving beyond isolated agent prototypes toward secure, observable, and governable agentic systems. The framework is organized around four core layers—Agent Roles, Orchestration, Control Gates, and Human Oversight—supported by principles of bounded autonomy, safety, accountability, and controlled execution. It addresses agent identity and access, tool and data governance, memory and context, multi-agent coordination, workflow integration, security, observability, reliability, human-AI decision rights, and lifecycle governance. The publication also includes a reference technical architecture, agentic maturity model, implementation roadmap, operational metrics, common anti-patterns, and an enterprise adoption checklist. It is intended for enterprise architects, AI leaders, platform engineering teams, governance professionals, security practitioners, researchers, and organizations seeking to responsibly scale agentic AI from experimentation to production. Version: 1.0Framework: 07Publisher: Enterprise Intelligence LabAuthor: Rakesh Kumar AgrawalPublication Year: 2026

Fields of Study & Subjects

Multi-Agent Systems and Negotiation Mobile Agent-Based Network Management Scientific Computing and Data Management

Publication details

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