Insights
AI & Machine Learning
Our latest thinking on ai & machine learning.
Agentic AI Governance: A Framework for Autonomous Pipelines
How boards can govern autonomous AI agents using the regulatory and standards frameworks now emerging worldwide.
Enterprise AI at Scale: Governing the Pilot-to-Production Transition
Organisations that fail to industrialise AI at scale almost always share a common root cause: not a technology deficit, but a failure of operating model design.
AI Vendor Evaluation: A Senior Leader's Framework for Lock-in Risk
Most enterprises approach AI vendor selection with software-procurement instincts that are poorly suited to the strategic dependencies and opacity that AI relationships create.
Enterprise AI Architecture: Build, Buy, or Partner Framework
Choosing the right enterprise AI architecture model requires a disciplined assessment of strategic intent, operational capability, and long-term risk tolerance — not simply a comparison of vendor pricing.
AI-Ready Organisation: A Leadership Framework for Structural Readiness
An AI-ready organisation is defined not by the sophistication of its models but by the structural and cultural conditions that allow those models to deliver sustained value at scale.
AI governance: a board-level guide to responsible adoption
Boards are being asked to approve AI investments faster than they can scrutinise them. Here is a practical governance framework that lets leaders move quickly without moving recklessly.