We discuss the future of AI in enterprise, focusing on ownership, governance, cost implications, and how organisations can adapt to rapid technological changes.

key topics
AI ownership and governance in enterprises
Growth in AI solution development outside IT
Cost implications of AI and solutioning
Operational models for AI innovation
Role of guardrails and architecture in AI deployment
Cost optimization through application rationalization
Impact of AI on headcount and project execution
Deterministic solutions versus agentic AI
Sound Bites
"Most solutioning will come from outside of IT by 2030"
"Strong guardrails are essential for safe AI deployment"
"AI is more a cost shift than a cost out"

Chapters
00:00
Introduction: AI growth and governance challenges in Australia
01:56
The shift towards outside IT solution development by 2030
03:54
The role of architecture, guardrails, and governance in AI
05:50
Cost ownership and application rationalization in enterprises
08:01
Misconceptions about AI reducing costs and increasing ownership
10:12
How AI is currently enabling faster project execution and work
12:07
Deterministic solutions and workflow automation for cost savings

ERP Optimiser - https://erpoptimiser.com

Free ERP Optimiser Tool - https://tool.erpoptimiser.com

Most ERP Transformations are opaque. The ERP Optimiser brings clarity: direct conversations with the CIOs, CEOs and transformation leaders actually doing the work, recorded while the decisions are still live.

Hosted by Glynn Williams — Founder & CEO of Emphasys, author of three books on enterprise technology, and thirty years working inside ERP transformations for some of the world's largest companies — each episode covers one real transformation: the decisions, the numbers, and lessons. Topics span SAP S/4HANA, process, architecture and AI acceleration.

New episodes every two weeks. No pitch decks. No vendor spin.