For CIOs and IT leaders, modernisation has historically been a choice between a high-risk system replacement or accumulating technical debt. Limited budgets and long delivery timelines have forced this choice, resulting in reactive modernisation projects that often fail to address business needs.
AI modernisation tools are changing this approach—making it faster and cheaper to modernise legacy technology at a scale that was nearly impossible before. These tools unlock new opportunities to move past isolated system replacements and instead modernise entire portfolios, domains, and workstreams. But they aren’t without risks.
Join us for a strategic conversation on modernising legacy technology in the AI era. We’ll discuss the common pitfalls of traditional strategies and provide best practices for reframing your modernisation approach. And we’ll provide expert insights on the current state of AI modernisation tools, where they’re headed, and how to use them safely and successfully for enterprise modernisation projects.
AI-accelerated modernisation: How AI-augmented development tools are breaking traditional barriers like cost and delivery timelines—and how you can apply them safely to accelerate modernisation programs.
Process-first vs. Systems-first: How centering your strategy on improving processes rather than replacing systems delivers better modernisation outcomes.
Unifying data without migration: Leaving data in place while connecting siloed systems in real-time to establish a single source of truth.
The Foundation of AI-Readiness: Preparing for agentic automation with AI-ready data and workflows.
