podcast

What agentic AI means for enterprise engineering

The sprint model has served the industry well for two decades. But when agentic AI can compress delivery from two weeks to a single day, the assumptions underpinning how teams are structured, how work is sized, and how software gets shipped start to look very different.

In this episode of ClearPoint Unlock, UK Account Director Mike Gatman and CEO Bain Hollister explore what the shift to agentic AI engineering means for larger organisations. They look at how the basic unit economics of producing software are changing, what that means for engineering teams, and why the constraints that emerge may have little to do with technology at all.

They dig into how roles are shifting as product and engineering converge, what good performance measurement looks like in an agentic world, and how organisations can build the right foundations before the speed of delivery exposes the ones that were never there.

 

 

Your trusted AI workforce


Transform your business operations with intelligent AI agents that deliver measurable ROI through function-specific automation. We provide a managed workforce of AI-powered agents that autonomously handle complex business processes—from procurement to customer service—delivering concentrated value where it matters most.

While 80% of companies use AI, most see no bottom-line impact because they've focused on generic productivity tools rather than transforming core business processes. Your AI Workforce from ClearPoint breaks through this "AI paradox" by deploying intelligent agents directly into your critical business functions - where repetitive, high-volume processes drain resources and create bottlenecks. Our AI agents understand context, make decisions, and handle exceptions autonomously. By focusing on vertical, function-specific automation, we deliver concentrated value that directly impacts your P&L, not just vague productivity gains.

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