Artificial intelligence is transforming modern business, offering powerful capabilities across operations, customer engagement, security and decision-making. Yet the real challenge is whether organisations can govern, trust and remain accountable for the AI systems they adopt.
This whitepaper explores the growing gap between AI capability and organisational readiness, highlighting the risks of poor governance, unmanaged deployment and over-automation. With most AI initiatives failing to reach meaningful production outcomes, it argues that long-term success depends on embedding ethical oversight and clear accountability into every stage of AI adoption.
Download Sterling's whitepaper on AI today.
To download please sign in.If you were confident you could make a critical function 37% more efficient, grow revenue by 100 – 200 basis points, or cut procurement spend by 33%, wouldn’t you do it? Research and analysis show that these benefits are absolutely available to enterprises who get contracting right.
More than half of supply chain professionals are probably using generative AI. But fewer than 1 in 10 of supply chain AI pilots have identified what it takes to translate that enthusiasm into industrial-scale results.
Through our research and interviews with senior supply chain executives, we have identified a group we call the “Performance Elite.”
Workday have implemented Workday Contract Intelligence, which uses AI to turn contracts into structured, searchable data and surface the terms that actually drive decisions. It doesn’t just make contracts easier to find, but turns them into insights the business can actually use.
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