Organisations must shift from AI experimentation to fiscal scrutiny, managing hidden costs and skill erosion through value-based strategic roadmaps.
This second session of our IBRS Member Only Fireside Chats explores what digital sovereignty is, why it has suddenly become a major discussion point, why Europe is rapidly departing from US technology, whether Australia could follow, and what the fallout will be.
AI coding tools offer early wins, but deferred maintenance and “AI debt” erode these gains within two years. Look past vendor hype.
A five-dimensional Effective Licence Position (ELP) counters Microsoft’s data advantage, reducing unoptimised spend by 15–25% and securing vital negotiation leverage.
AI coding deployments deliver real value only when context engineering embeds your organisation’s standards, preventing generic code and constant rework.
Traditional governance fails for agentic coding tools. CIOs must shift from policy-driven compliance to a least-agency architecture with clear task boundaries.
The framework replaces experience-based tiers with capability assessments, evaluating how developers direct, edit, or learn alongside AI-generated code.
Agentic AI coding tools expand attack surfaces beyond Essential Eight limits; organisations must adopt NIST frameworks and strict least-privilege architectures.
AI coding debt accumulates silently and rapidly, creating unmaintainable codebases. Organisations must implement deliberate governance and tracking frameworks to manage this risk.