Moving from automation to autonomy requires structured design patterns. We’ve identified twenty essential architectures to build reliable, scalable agentic ecosystems.
Artificial intelligence is moving from isolated experiments to the foundation of enterprise operations, demanding that CIOs redefine digital transformation by placing a strategic focus on data utilisation, ethical governance, and deep workforce literacy
Microsoft’s new sandboxed Copilot extends its reach from data synthesis to autonomous execution, creating governance and compliance challenges, especially around paywalled data and security.
How best to justify project budgets for efforts to reduce risk ? While some people focus on simply lowering risk as a whole, the more effective move is to align mitigation efforts precisely with the organisation’s stated risk appetite.
Core AI will soon be embedded in core business platforms, making complex custom projects redundant and shifting ICT strategy focus to vendor roadmaps.
Model context protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
AI-driven ‘vibe coding’ poses security risks, demanding a shift to DevSecOps where security is embedded throughout the automated software development lifecycle.
Citizens want simple, clear online council services, but most aren’t getting them. The fix isn’t complex technology, but rather empathetic, user-centric design.
IBRS has previously provided research and advisory on digital governance structures and terms of reference. This advisory goes further, examining the issues, content, and agenda of modern digital governance. What should be the focus of IT governance today?