How the Weir Group built a blueprint for sustainable AI governance

The Weir Group, a mining engineering technology company with 10,000+ employees, saw AI adoption outpace governance in its safety-critical operations, where scattered documentation and email-based approvals couldn't keep pace, prompting leadership to name AI a board-level risk. It implemented Collibra to centralize AI use-case inventories, standardize risk assessments, and build traceable workflows, moving "from policies to integrated workflows, from email-based approvals to system-based ones," with a risk-tiered process that fast-tracks low-risk projects while scrutinizing high-risk ones. AI governance is now reported as a standalone risk category chaired by the Head of Data Governance, and criteria have expanded beyond traditional risk to include sustainability metrics like carbon footprint, compute power, and water usage.

Collibra is a data-governance and catalog platform used to keep data trustworthy, traceable and compliant enough to support an AI initiative.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.