The Digital Transformation Playbook · 2026-06-11 · 5 min
AI is moving fast, but enterprise leaders are starting to ask a sharper question: are we getting value for the money we’re spending? Matt Healy from Pega joins us to unpack what “agentic transformation” looks like when it has to survive real-world constraints like compliance, security, and customer-facing reliability, not just a slick prototype. TL;DR: extending AI-driven development into the platform with coding agents such as GitHub Copilot, Codex, and Cloud Code deploying agents that run predictably against rules, regulations, and compliance needs shifting from token-based consumption to outcome-based agentic pricing for predictable ROI why vendor pricing changes can flip an AI use case from profit to loss using AI to analyse legacy systems, translate code into natural language, and guide modernisation combining AWS legacy analysis with Blueprint to support mainframe exit and reimagined journeys building enterprise-ready apps that are explainable, secure, scalable, and consistently developed We talk about AI-driven development and the growing role of coding agents in everyday work, including tools such as GitHub Copilot, Codex, and Cloud Code.
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