What does it really take to remove decades of technical debt without breaking the systems that still keep the business running?
In this episode of Tech Talks Daily, I sit down with Pegasystems leaders Dan Kasun, Head of Global Partner Ecosystem, and John Higgins, Chief of Client and Partner Success, to unpack why legacy modernization has reached a breaking point, and why AI is forcing enterprises to rethink how software is designed, sold, and delivered.
Our conversation goes beyond surface-level AI promises and gets into the practical reality of transformation, partner economics, and what actually delivers measurable outcomes.
We explore how Pega's AI-powered Blueprint is changing the entry point to enterprise-grade workflows, turning what used to be long, expensive discovery phases into fast, collaborative design moments that business and technology teams can engage with together.
Dan and John explain why the old "wrap and renew" approach to legacy systems is quietly compounding technical debt, and why reimagining workflows from the ground up is becoming essential for organizations that want to move toward agentic automation with confidence.
The discussion also dives into Pega's deep collaboration with Amazon Web Services, including how tools like AWS Transform and Blueprint work together to accelerate modernization at scale.
We talk candidly about the evolving role of partners, why the idea of partners as an extension of a sales force is outdated, and how marketplaces are reshaping buying, building, and operating enterprise software. Along the way, we tackle some uncomfortable truths about AI hype, technical debt, and why adding another layer of technology rarely fixes the real problem.
This is an episode for anyone grappling with legacy systems, skeptical of quick-fix AI strategies, or rethinking how partner ecosystems need to operate in a world where speed, clarity, and accountability matter more than ever.
As enterprises move toward multi-vendor, agent-driven environments, are we finally ready to retire legacy thinking along with legacy systems, or are we still finding new ways to delay the inevitable?
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