Thriving in the innovation economy requires rejecting AI hype, prioritising strategy over technology, and engineering sustainable business value through governance.
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.
Effective AI coding governance requires automated, pipeline-integrated architectural controls and risk-proportional human review, not just unenforceable, paper-based acceptable use policies.
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.
This practical framework guides executives through four phases to align ICT capability with organisational strategy, ensuring rigorous governance and validation.
AI coding debt accumulates silently and rapidly, creating unmaintainable codebases. Organisations must implement deliberate governance and tracking frameworks to manage this risk.