Enterprises are already achieving great things with AI, such as improving productivity, efficiency and customer experience and unlocking new revenue streams. But in doing so, they’ve also quickly embedded AI dependencies throughout their business, often without fully considering the operational risks those dependencies create. AI adoption today is like the early days of cloud computing: Small proofs of concept often work their way into production systems, which can impact the business in unexpected ways. Suppose that Company X uses Claude to run their operations. Now, imagine that Claude unexpectedly goes offline, as it did for thousands of users during a…

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