Agentic AI adoption outpaces governance in regulated industries
Regulated industries are entering a turning point that many enterprise leaders have yet to fully grasp.
Agentic AI tools capable of executing multi-step tasks with minimal human intervention, are now commonly embedded in audit and finance operations, automating testing, documentation, risk assessment, and reporting.
But many organizations are still behind updating the governance infrastructure required to make those gains sustainable.
Most organizations ask what AI can do, but neglect to evaluate whether they have operating models, governance frameworks, and human oversight capacity in place to control what AI does.
In regulated environments, that gap is where exposure compounds quickly.
Three Gaps Compounding at Once
Validating AI output requires a different skill set than producing it. Traditional audit training doesn’t develop that capability, and most firms have yet to redesign programs to account for that lack of knowledge.
Junior staff are nominally in charge of reviewing AI-generated work they don’t...
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