Have you considered how your entity’s risk profile changes when using AI agents ‒ and how it further evolves as those agents are orchestrated into agentic AI workflows?
We outline key risks, governance and control considerations as entities adopt agents and agentic AI workflows in financial reporting.
We explain how increased autonomy and orchestration give rise to novel risks – such as governance complexity, cascading errors and segregation-of-duties challenges – and highlight example workflow design considerations to help entities manage those risks. Additionally, we share key questions for entities to consider as they assess readiness, clarify ownership and identify potential gaps before or during deployment of agents or agentic AI workflows.
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Our new in-depth guide offers insights for responsibly integrating AI into financial reporting, including governance and internal control considerations.
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The capabilities of AI are continuing to garner interest and high expectations for the financial reporting function.
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Keith Hooper
Partner, Dept. of Professional Practice, KPMG US
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Denae Hajovsky
Managing Director, Dept. of Professional Practice, KPMG US
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Keith Hooper
Partner, Dept. of Professional Practice, KPMG US
Read bio
Denae Hajovsky
Managing Director, Dept. of Professional Practice, KPMG US
Read bio
