AI inventory essentials
Key components to AI governance success
Report
Unlock value through robust AI inventory programs.
Reliance on ad-hoc AI tracking is no longer sustainable. Amidst rapid adoption and a tightening regulatory landscape, developing a rigorous AI inventory has become business critical.
PA Consulting, Davis Polk, and OneTrust surveyed 70 global organisations to evaluate the role of AI inventories. This report provides actionable recommendations for leaders to build inventory programmes that ensure compliance, minimise technical debt, and deliver strategic value.
Four core components of a successful programme
Based on our research and work with global organisations, we have identified four key recommendations for building an optimised AI inventory:
1. Capture value, not just risk
While compliance is critical, inventories also facilitate strategic decision-making. Identify value creators – such as increased customer trust and reduced technical debt – to secure leadership buy-in and budget.
2. Design tooling for a journey
Do not aim for perfection immediately. Implement a “minimum viable product” (MVP) that provides visibility over key features, then iterate to connect data sources and automate tasks over time.
3. Assess across the lifecycle
Establish a central source of truth. Ensure risk assessments and governance checkpoints are integrated from the initial intake through to deployment and ongoing monitoring.
4. Capitalise on flexibility of ownership
AI governance is multidisciplinary. Establish an AI committee to share accountability across functions (CDO, CISO, Legal) rather than placing responsibility solely on IT.
How we can help
Our digital trust and cyber security experts help organisations navigate the complex AI regulatory landscape. We can assist you in designing and implementing robust AI inventory programmes that ensure compliance while unlocking the full potential of your AI investments.
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