This blog explores how the Agentic Development Lifecycle (ADLC) is transforming enterprise AI adoption by shifting focus from building intelligent systems to managing them responsibly at scale. It highlights how organizations can govern autonomous agents, coordinate AI workflows, and maintain continuous oversight across operations. Covering key lifecycle stages such as goal definition, orchestration, monitoring, and feedback, the blog also outlines governance challenges and operational risks associated with scaling Agentic AI. It demonstrates how lifecycle-driven execution improves reliability, reduces risk, and enables organizations to build resilient, accountable, and scalable AI-powered operations.
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