The Great Re-engineering: From Legacy Process to AI-powered Continuous Improvement 

Event Details

Enterprises aren't struggling to deploy AI, they're struggling to get it into production, and legacy processes are the reason why. This roundtable brings together technology and business leaders to unpack why redesigning workflows, not the AI itself, is the real work of scaling transformation, and what it takes to move from pilots to processes that continuously improve.

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​Expect honest dialogue, shared experiences, and a sharper picture of what it actually takes to build an enterprise where AI doesn't just automate, but compounds.

Who's Attending

This event is designed for senior technology and transformation executives eager to connect, share insights, and explore how leading organizations are building resilient, AI-ready enterprises. With a passion for connecting leaders, we're eager to invite individuals working in:

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• Enterprise and solution architects

• Automation and transformation leaders

• Application development and platform leaders

• IT operations leaders

• AI / innovation leaders

• Business transformation and process owners

Event Agenda

November 19th, 2026 at 12:30 PM SGT

12:30 PM – 1:00 PM: Networking Session with Welcome Drinks

1:00 PM – 1:15 PM: Introductions, Opening Remarks

1:15 PM – 2:00 PM: Gourmet Luncheon with Facilitated Discussion

2:00 PM – 2:15 PM: Facilitated Discussion end and Informal Conversation starts 

Venue​

TBC

Discussion Points

The Great Re-engineering: From Legacy Process to AI-powered Continuous Improvement 

Enterprises are racing to deploy AI, but the real barrier to scale isn't the technology; it's the legacy processes it's being bolted onto. The numbers make this stark: 71% of enterprises have deployed AI agents, yet only 11% have gotten them into production. The gap sits in workflows that were never designed for AI in the first place; end-to-end orchestration, governance, and observability haven't kept pace with ambition.

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This roundtable brings together technology and business leaders to explore what it actually takes to redesign critical processes for an AI-first future, connecting people, systems, and AI while keeping governance, visibility, and control intact.

We'll discuss where organizations really stand on the path from AI vision to production, what's genuinely blocking progress, and what "safe enough" looks like when agents start making decisions in high-stakes, regulated environments.

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