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The AI assurance gap: CIOs need proof that agentic AI controls actually work
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How I use AI to boost productivity and revenue | CIO
Enterprises have spent decades learning how to audit people and software.
Agentic AI creates a third category: systems that interpret instructions, call tools and act across workflows without a mature assurance model built around them.
In my work as a leader and investor across technology-enabled businesses, I have spent years around automation, cybersecurity, compliance, workflow design and board reporting.
Agentic AI complicates that question because a single outcome may pass through several systems.
An agent can collect information, choose a tool, produce code, route a request and hand work to another agent before a person approves the result.