I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. KonaAI is the sponsor of those podcasts. This blog post series will flesh out the podcast show notes. Over the next five blog posts, we will discuss generative AI and ChatGPT in compliance, the profiles of corrupt payments, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In Part 1, we will consider using generative AI and ChatGPT for compliance.
My special guest is Vince Walden, a trailblazer spearheading transformative advancements in the compliance industry through the innovative use of data and data analytics. Vince’s grounding in generative AI and Chat GPT has enabled him to push the boundaries of traditional compliance monitoring. His knack for simplifying complex concepts has won him acclaim at numerous conferences, where he frequently shares his expertise. Vince’s novel strategies are revolutionary and rapidly becoming the new standard in the field.
Together with Walden, we will explore how compliance professionals can enhance their monitoring efficiency through generative AI and Chat GPT. Having worked extensively in the compliance and data arenas, Walden understands the challenges compliance professionals face in navigating the complex regulatory landscape. He shares his expertise and highlights practical use cases of Chat GPT in compliance monitoring, demonstrating how it can streamline the decision-making process. We will provide actionable strategies for improving compliance monitoring and addressing compliance professionals’ pain points.
You have probably heard of Generative AI. What is the hype about it? Generative AI does not just analyze data—it creates or “generates” responses or outputs based on the given data. Something like a brilliant virtual assistant! Walden discussed some of the uses. He mentioned how these AI chatbots can interact directly with a compliance dashboard. This means it is more than simply about reading data—it is about interpreting it and helping make navigating tons of data more accessible. It provides recommendations, insights, and options based on what it’s looking at. This could eliminate the need to click around on your dashboard.
AI is pretty good with data. But what about qualitative information? You might be wondering if you can leave everything entirely to AI. Walden adds a bit of a reality check here by reminding us of the importance of human intervention in checking the AI’s output. There is a downside to relying exclusively on AI’s output. A compliance professional must take results at face value. There is a need for validation and fact-checking to ensure we’re not accidentally spreading misinformation or making decisions based on false statements. It’s like that saying, “Trust but verify.”
One of the key challenges associated with generative AI and chatbots in compliance monitoring is striking the right balance between automation and human oversight. While chatbots can assist in navigating and analyzing data, human judgment and expertise are still crucial in interpreting the results and making informed decisions. Compliance professionals must ensure that the rules and algorithms used by the chatbots are accurate and aligned with regulatory requirements.
Another consideration is data privacy and security. Using generative AI and chatbots within a secure platform that protects sensitive information is essential. Compliance professionals should avoid sending data to third-party providers and ensure privacy regulations are followed.
Despite these challenges, generative AI and chatbots in compliance monitoring are promising. By leveraging these technologies, compliance teams can improve efficiency, reduce costs, and enhance the overall effectiveness of their monitoring processes. The ability to customize review strategies based on different risk thresholds and areas of concern further enhances the value of these tools.
The bottom line is that generative AI and chatbots are set to revolutionize compliance monitoring by providing professionals with more efficient and interactive ways to navigate data and identify potential compliance issues. While there are tradeoffs and challenges to consider, the benefits of these technologies in terms of efficiency and cost-effectiveness are significant. Compliance professionals must exercise caution, fact-check the output of generative AI, and maintain human oversight to ensure accuracy and compliance with regulations. As compliance monitoring continues to evolve, the integration of generative AI and chatbots will undoubtedly play a crucial role in shaping its future.
The steps outlined in the article – leveraging generative AI and Chat GPT for compliance monitoring – are pivotal in helping compliance professionals achieve improved monitoring efficiency. By using generative AI to analyze large volumes of data in real time, compliance professionals can detect anomalies and potential violations more efficiently than ever. Additionally, the automation of compliance checks through Chat GPT significantly reduces the burden of manual reviews and frees up valuable time for proactive monitoring activities. These technological advancements enhance monitoring accuracy and streamline the decision-making process, allowing compliance professionals to make informed and timely decisions. By adopting these innovative tools, compliance professionals can achieve improved compliance monitoring results and ensure organizational adherence to regulations.
Resources:
Connect with Vince Walden on LinkedIn
Check out KonaAI
Connect with Tom Fox on LinkedIn
