Chapter 3. Rethinking Roles and Coordination
Over a decade ago, enterprises faced a problem that seemed insurmountable. Software developers built applications, while IT operations teams deployed and maintained them. The two groups worked independently, spoke different languages, and measured success by different metrics. Where developers optimized for velocity, operations teams opted for stability. Moreover, the handoffs between these teams created bottlenecks, slowing everything down.
The solution wasn’t better tools or faster hardware. It was DevOps, a fundamental rethinking of how these teams should work together. Cross-functional teams owned complete workflows from development through production operations, unlocking value that no amount of technology improvement could have delivered.
Today, we’re arriving at a similar inflection point with agentic AI. And the problem looks strikingly familiar.
Connecting People, Not Just Systems
Agentic AI collapses the time between insight and action. When an intelligent agent detects a supply chain disruption, it doesn’t generate a report for review. Instead, it immediately coordinates alternative suppliers, adjusts production schedules, and communicates with affected customers. The latency between data analysis and operational response shrinks from hours to milliseconds.
This acceleration exposes every weakness in traditional handoffs between data and integration teams (see Figure 3-1). When data teams discover quality issues in supplier ...
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