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Council Post: Agents And Compliance—Can They Ever Get Along?

Feb 20, 2025 - forbes.com
The article discusses the potential for AI agents to be integrated into highly regulated industries, despite initial skepticism about their suitability due to concerns over consistency and data security. It highlights the evolution of regulated industries, which have previously adapted to cloud technologies, and suggests that AI could similarly transform these sectors. The key to successful AI deployment lies in adopting a process-led approach using UPN process diagrams, which ensure that AI agents follow clear, explicit instructions and comply with regulatory standards. This approach allows for easy monitoring, quick updates, and consistent application of the latest information across all interactions, addressing regulatory governance requirements.

The article emphasizes that AI agents, considered digital labor, should be regulated similarly to human workers. By using detailed process diagrams, organizations can create reliable AI agents that are easy to update and audit, reducing the risk of non-compliance. This method contrasts with writing instructions directly into the agent, which can lead to ambiguity and inefficiency. The process-led approach, which has been effective for human labor, is advocated as a way to ensure AI agents can meet complex regulatory demands efficiently and consistently.

Key takeaways:

  • AI agents can be effectively integrated into regulated industries by ensuring they follow detailed process diagrams, which provide clear and consistent instructions.
  • AI agents offer the advantage of consistent compliance with operational processes and policies, as they can be easily monitored and updated with the latest information.
  • Using a process-led approach with UPN process diagrams allows for quick adjustments and redeployment of AI agents, ensuring regulatory compliance and minimizing risks of non-conformance.
  • AI agents, like human labor, require governance and a structured approach to comply with complex regulations, leveraging past best practices for effective implementation.
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