Why Is It Hard To Build A Unified Agentic Control Plane For Operational Intelligence?
•InnovationWhy Is It Hard To Build A Unified Agentic Control Plane For Operational Intelligence?ByShailesh Manjrekar,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbe...
•Opinions expressed are those of the author.
•| Membership (fee-based)May 18, 2026, 07:45am EDTShailesh Manjrekar is the Chief AI and Marketing Officer at Fabrix.ai, inventor of "The Agentic AI Operational Intelligence Platform." gettyAgentic AI...
هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
InnovationWhy Is It Hard To Build A Unified Agentic Control Plane For Operational Intelligence?ByShailesh Manjrekar,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 18, 2026, 07:45am EDTShailesh Manjrekar is the Chief AI and Marketing Officer at Fabrix.ai, inventor of "The Agentic AI Operational Intelligence Platform." gettyAgentic AI has reached an inflection point. New agentic-native applications like Cursor, Claude Code and Codex are everywhere. Traditional three-tier applications are being augmented with agentic stacks. And the launch of OpenClaw, NemoClaw and DefenseClaw has created the ChatGPT moment for AI agents, democratizing access to them.The challenge for operational intelligence personas is how to operationalize this paradigm shift. AIOps has the last-mile problem, where SMEs interpret dashboards, tickets and alerts manually and cannot scale. Traditional vendors are building siloed agentic layers over siloed data sources, but they are not solving the fundamental swivel-chair problem. What the industry needs is a unified agentic control plane for operational intelligence that can federate, orchestrate, reason and act across domains. Federation links independent systems to act as one while maintaining their autonomy, whereas orchestration uses a central authority to manage and coordinate complex, automated workflows across multiple systems.The Four Challenges Of Building A Unified Agentic Control Plane For Operational Intelligence1. LLMs Hallucinate: Agents Need Governance, Evaluation And Continuous Optimization: Large language models are non-deterministic by design. The stochastic nature of LLMs cannot be engineered away. It must be operationally governed using AgentOps disciplines that treat trust, evaluation and drift as continuous concerns rather than one-time validations.2. Agents Need A Unif...المصدر: Forbes | Source: Forbes
ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.
This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.



