On-demand webinar
Going headless
How composable applications unlock faster change around your core business systems
With Shannon Moir, Director of AI - Australia, Fusion5
Watch the on-demand webinar
Most organisations don't need to replace their core business systems - they need a faster way to evolve around them. As pressure mounts to deliver AI, new digital experiences and business change, understanding how headless and composable architectures unlock agility without disrupting core platforms has never been more important.
If your organisation is under pressure to move faster and make AI count, but your ERP and core systems make change slow and risky, this session is built for you.
In 45 minutes, Shannon Moir explains what headless and composable architecture actually mean in an enterprise applications context, why semantic layers are emerging as a foundation for enterprise AI, and how to pick a first use case worth doing. Plain language, practical examples and clear trade-offs - not architecture theory.
What you'll get from watching:
- Why the answer is usually to modernise around core systems rather than replace them, and why that pressure is increasing as AI enters the application landscape
- What headless and composable really mean, explained in plain language, and how decoupled architecture lets you move faster without disrupting critical systems
- The role of semantic layers — the relationships, concepts and business rules that let AI operate in the context of your organisation instead of generically
- Where organisations are already seeing value, including ERP and JD Edwards-relevant scenarios
- How to evaluate opportunities and identify a first use case with clear value, visible pain and manageable scope
- When headless isn’t the right call — the trade-offs worth weighing before you commit
Who this is for
CIOs, ERP leaders, enterprise architects and application owners across ANZ organisations running JD Edwards, SAP, Oracle, Microsoft Dynamics or other core enterprise platforms - particularly anyone weighing a modernisation decision or accountable for making AI useful on top of existing systems.
