From Legacy To AI-Ready: The Enterprise Playbook Ft. Matt Healy, Sr. Director At Pegasystems

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Matt Healy, Sr. Director of Product Strategy & Marketing at Pegasystems, to examine why enterprises are struggling to move AI from prototype to production, and what it actually takes to bridge that gap. From legacy infrastructure to agentic AI governance, the conversation offers a practical roadmap for leaders navigating transformation in 2026.

Enterprise AI adoption has become the defining challenge of this decade. While 96% of developers are using AI daily, most large organizations have yet to deploy it into the high-value, mission-critical processes where it matters most: regulated workflows, high-volume customer operations, and complex back-office functions. The obstacle, more often than not, is what came before AI, the legacy systems quietly blocking progress from below.
 

The Legacy Problem Is Bigger Than IT Knows

Matt explains that legacy systems are not just a technical inconvenience; they are the root cause of AI stagnation at the enterprise level. Data trapped in mainframes, proprietary databases, and on-premise platforms cannot power the real-time AI agents organizations are trying to build. Beyond data access, these systems actively resist modern AI-based development patterns, making it impossible to layer meaningful automation onto aging foundations. The result: enterprises invest in AI while running on infrastructure that cannot support it.
 

Governance Before Deployment

The Air Canada chatbot incident, where an LLM-powered customer tool fabricated a refund policy and forced the airline into court, illustrates what happens when AI reaches customers without proper controls. Matt’s answer is orchestration: a rules-based governance layer that defines when AI acts, when deterministic logic takes over, and how accuracy is verified at every step. For Pegasystems, this means giving enterprises the framework to deploy AI into regulated processes with confidence, not just speed.
 

Using AI to Modernize at AI Speed

One of the most practical insights in this conversation: AI is now the fastest path off legacy systems. What once required consultants, years of mainframe analysis, and $50 million in spend can now be accomplished through AI-powered source code analysis, process mapping from recorded walkthroughs, and automated generation of cloud-ready application templates. Pega’s Blueprint tool, for example, can turn a screen recording of a legacy mainframe workflow into a production-ready cloud application template, compressing transformation timelines from years to days.
 

Key Takeaways

 

• The fuel AI needs is data, and legacy systems trap it, making AI adoption structurally impossible without modernization.

• Moving too fast without governance isn’t bold; it’s a legal and reputational liability, as the Air Canada case demonstrates.

• AI and modernization are not sequential; organizations must use AI to modernize while they modernize to unlock AI.

• Critical institutional knowledge retires with the people who hold it. Getting off legacy systems is not optional; it’s urgent.

 

About Matt Healy

Matt Healy is the Sr. Director of Product Strategy & Marketing at Pegasystems, leading go-to-market strategy and product marketing for a platform that automates customer service, back-office operations, and marketing for some of the world’s largest financial institutions, telecoms, and government agencies. His career spans DevOps, release management, and technical program management before transitioning into product strategy, a journey that began with a chemical engineering degree and an early role at Aspen Technology. That cross-functional arc gives him a rare ability to connect technical execution with commercial impact.