Automating what already exists isn’t enough — agents demand a fundamental rethink of the enterprise
Enterprises are deploying AI agents. But they're automating yesterday's processes — and that's already obsolete.
Why it matters
As agentic AI moves from capability to deployment, organizations are discovering that agents require fundamental rethinking of business processes and operating models, not just automation of existing workflows. This is shaping how forward-thinking enterprises need to architect their infrastructure and strategy.
The key facts
8 to knowAgent management emerging as distinct challenge from agent deployment
Agentic AI forcing enterprises to re-evaluate operating models and business processes
Fundamental shift required: process redesign vs. workflow automation
Organizational skills gap in agent-centric architecture
Agent management identified as distinct operational challenge from agent deployment
Agentic AI requires process redesign, not workflow automation of legacy systems
Operating model and business model reassessment needed for agent-first enterprises
Skills gap emerging in agent governance and lifecycle management
Go to the source
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Publisher excerpt: Enterprises have figured out how to stand up AI agents, but agent management is another problem entirely. The agentic moment is forcing organizations to interrogate everything, including the operating and business models that underpin longstanding infrastructure. That is because agentic AI requires…