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Upping Your Game

Upping Your Game: Episode 1 – Meeting Hui Chen’s Challenge

In February, the Trump Administration suspended investigations under and enforcement of the FCPA. Many compliance professionals have since wondered what this will mean for corporate compliance programs going forward. Hui Chen challenged compliance professionals with “It’s time to up your game.”

This podcast series, sponsored by Ethico and co-hosted with Ethico co-CEO Nick Gallo, hopes to meet Hui Chen’s challenge for compliance professionals. We will discuss how compliance professionals can ‘Up Their Game’ using currently existing Generative AI (GenAI) tools to improve compliance programs dramatically. As compliance professionals, it is critical to recognize that this moment is not merely about incremental improvements but about elevating our profession to an entirely new level of effectiveness, efficiency, and organizational value.

In the inaugural episode of ‘Upping Your Game,’ co-hosts Tom Fox and Nick Gallo, co-CEO at Ethical, discuss the future of compliance and risk management. They explore the need for compliance professionals to evolve by integrating AI and focusing on creating business value. The conversation covers the importance of the user experience (UX), the employee and third-party experience (CX), and the shift towards a proactive and predictive compliance program. Real-world examples, such as Citibank’s use of AI for compliance, illustrate how technology can enhance compliance programs. The episode emphasizes the crucial role of compliance in risk management and the potential for professionals to elevate their impact within organizations.

Key highlights:

  • The Spark Behind ‘Upping Your Game’
  • The Role of AI in Compliance
  • Evolving Compliance to Business Value
  • The Human Experience in Compliance
  • Risk Management and Future Outlook

Resources:

Upping Your Game: How Compliance and Risk Management Move to 2030 on Amazon.com

Nick Gallo on LinkedIn

Ethico

Check out the Ethico White Paper on the Introduction to Upping Your Game, click here.

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Blog

AI and the Future of Compliance Education: Why the Future is Now

For too long, compliance training has been seen as little more than a necessary evil, a one-size-fits-all exercise in checking a regulatory box. Employees shuffled through mandatory seminars, PowerPoint decks, and click-through e-learning modules, treating them as hurdles to clear, not learning opportunities. That world is dead. Buried. In 2025, compliance education is radically transforming, and AI is leading the way.

The future of compliance education is personal, immediate, engaging, and embedded. It’s about delivering the right knowledge to the right employee at the right time, i.e.,. Before a violation occurs. Compliance is no longer a periodic event; it’s a continuous experience. How can AI, microlearning, gamification, and VR completely change the game, and what lessons must compliance professionals learn today to build a better tomorrow?

Lesson 1: Traditional Training is Outdated—AI is Leading the Way

First, yesterday’s training models cannot keep up with the proper pace of modern regulatory risk. Static, annual training modules don’t resonate with today’s workforce or dangers. Enter AI. Smart compliance platforms now personalize training based on individual employee roles, learning styles, risk exposure, and past behavior. Employees are no longer passive listeners but active participants in scenario-based simulations that mirror real-world dilemmas. Imagine practicing an FCPA dilemma in a gamified environment rather than skimming through a bullet-point list.

Even better, AI does not simply deliver content; it measures how employees engage with it. Advanced analytics track progress, flag disengagement, and allow compliance teams to adjust real-time training strategies. The result? A proactive, continuously evolving compliance culture.

If you’re still relying on static training in a dynamic risk environment, you are not only behind; you are exposed.

Lesson 2: Customization is Key—One Size Fits Nobody

Let’s be blunt: Generic compliance training wastes everyone’s time. Different employees face different risks. Your sales team in Latin America needs training that is different from your engineering team in Berlin. A one-size-fits-all approach is not simply ineffective; it can indeed be counterproductive.

AI-driven compliance platforms address this head-on by customizing content at the individual level. They analyze roles, responsibilities, risk profiles, and even upcoming activities. Imagine this: An employee traveling to a high-risk country automatically receives reminders about anti-bribery policies, gift-giving guidelines, and applicable trade sanctions before they step on the plane.

This proactive, role-specific approach exceeds DOJ expectations around tailored training (first articulated in the 2017 Evaluation of Corporate Compliance Programs and reinforced in the 2024 ECCP). It embeds compliance into employees’ day-to-day decision-making.

Customization drives engagement. Engagement drives behavior change. Behavior change protects the organization. It is that simple.

Lesson 3: Real-Time Compliance Training is Proactive, Not Reactive

Historically, compliance teams operated in a reactive mode. Violations occurred, investigations followed, and training was assigned as a remedial slap on the wrist—no more. With AI, compliance training can now be real-time and predictive. Imagine an AI system that monitors workflow data and employee behavior, delivering just-in-time reminders before a decision is made, not after a violation occurs.

Picture this: An employee processing an unusual third-party payment receives an instant alert reminding them of anti-corruption controls. Another employee about to click a suspicious email gets a real-time warning about phishing attacks. AI can even draw insights from external events. If a major competitor is penalized in China for export control violations, your employees operating in that region can immediately receive a warning and updated guidance.

Real-time training transforms compliance from a “policing” function into a “partnering” function, guiding employees to make better decisions in the moment. That’s the future we should be building toward.

Lesson 4: Gamification and Microlearning Supercharge Retention

We’ve known for years that traditional long-form compliance training doesn’t stick. Most employees forget 70% of what they learned within a week. Why? Because brains aren’t wired to retain dense information delivered in passive, hour-long blocks. Gamification and microlearning flip the script.

Microlearning delivers bite-sized, focused modules that employees can absorb quickly, perfectly tailored to today’s fast-paced work environments. Gamification adds points, badges, competitions, and rewards to incentivize engagement. Together, they create training experiences that are not only more effective but also fun. And the results aren’t theoretical. Studies show that microlearning can improve knowledge retention by up to 75%. Walmart’s use of VR compliance training led to a reported 30% decrease in policy violations.

When employees are immersed in gamified simulations where decisions have consequences and feel the real-world weight of ethical challenges, they build the muscle memory to act correctly under pressure. Compliance becomes instinct, not obligation.

If you are serious about building a culture of compliance, gamification and microlearning must be part of your toolkit.

Lesson 5: AI is the Ultimate Training Effectiveness Engine

Finally, AI does not just deliver better training; it measures and improves it.

Modern AI-powered compliance platforms track every interaction. They identify which employees are struggling, which departments face higher risks, and which topics aren’t sticking. They can predict which employees are most likely to face ethical dilemmas—and target interventions accordingly. This feedback loop is transformative. Instead of guessing whether training “worked,” compliance professionals can know and take swift action when needed. AI-driven insights allow for dynamic course corrections, ensuring compliance education stays aligned with emerging risks, regulatory updates, and organizational changes.

By embedding continuous improvement into training, AI moves compliance education from a static obligation to a living, breathing strategy for risk management and corporate resilience.

Conclusion: The Future Is Now—Are You Ready?

The transformation of compliance education isn’t a “someday” concept. It is happening right now. Leading companies are already embedding AI, gamification, microlearning, real-time alerts, and VR simulations into their compliance ecosystems—and they’re seeing measurable results. Compliance training is no longer a boring box to check. It’s a dynamic, personal, data-driven force multiplier for ethics, integrity, and business performance.

The real question for compliance professionals today isn’t whether AI will reshape compliance education. It’s whether your organization will be a leader or a laggard in embracing change. The future of compliance education is here. It is immersive, predictive, personal, and powered by AI.

Are you ready to lead the way?

In short, the future of whistleblower programs is here—and it’s intelligent.

The above is from my latest book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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FCPA Compliance Report

FCPA Compliance Report – From Compliance to Commercial Value: Removing Friction with AI

Welcome to the award-winning FCPA Compliance Report, the longest-running compliance podcast. In this episode, Tom welcomes back Jag Lamba, CEO at Certa, to discuss the use of GenAI in compliance tools.

Lamba advocates for the transformative power of artificial intelligence in revolutionizing third-party risk management. Lamba believes businesses can streamline processes, reduce friction, and enhance decision-making throughout various phases of third-party interactions by leveraging AI, particularly generative AI and natural language processing tools. He emphasizes that AI can simplify complex tasks like analyzing extensive reports and identifying specific risks, thus improving compliance reporting and operational efficiency. Lamba envisions a future where AI seamlessly integrates into core business operations, making compliance management an inherent and valuable aspect of organizational workflows, particularly benefiting smaller and mid-sized companies.

Key highlights:

  • Automating Third-Party Risk Management with AI
  • AI-powered Tools Enhancing Third Party Risk Management
  • AI-driven Automation for Enhanced Compliance Reporting
  • Automating Compliance Tasks to Boost Operational Efficiency

Resources:

Jag Lamba on Linkedin

Certa AI

Tom Fox

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For more information on the use of AI in Compliance programs, see my new book, Upping Your Game. You can purchase a copy of the book on Amazon.com

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Compliance Tip of the Day

Compliance Tip Of the Day – Using AI to Transform Whistleblower Response

Welcome to “Compliance Tip of the Day,” the podcast where we bring you daily insights and practical advice on navigating the ever-evolving landscape of compliance and regulatory requirements. Whether you’re a seasoned compliance professional or just starting your journey, we aim to provide bite-sized, actionable tips to help you stay on top of your compliance game. Join us as we explore the latest industry trends, share best practices, and demystify complex compliance issues to keep your organization on the right side of the law. Tune in daily for your dose of compliance wisdom, and let’s make compliance a little less daunting, one tip at a time.

Today, we consider how you can use AI to improve your whistleblower response and your culture of speaking up.

For more on embedded compliance, check out my new book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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Blog

Using AI to Transform Whistleblower Response

When it comes to internal reporting programs, the days of the lonely 1-800 hotline are over. Today’s compliance landscape demands real-time action, smarter triage, greater protections for whistleblowers, and trust. Fortunately, we now have the tools to meet that demand. Artificial Intelligence (AI) and predictive analytics transform whistleblower programs from sluggish, reactive systems into powerful, proactive compliance assets.

This shift could not be timelier. Regulators like the DOJ and SEC have clarified that robust, responsive whistleblower programs are not just a “nice to have” but mandatory. Companies that fail to get this right risk regulatory penalties and devastating hits to their reputation and employee trust. AI offers the compliance community a tremendous opportunity to enhance whistleblower protection, build credibility, and drive a true culture of compliance. Today, I want to summarize key lessons compliance professionals can draw from this evolving space.

Lesson 1: AI as a Guardian of Whistleblower Anonymity

Historically, fear of retaliation has been the Achilles’ heel of internal reporting programs. Employees hesitate to come forward when they don’t trust the system to protect them.

AI changes that. Using sophisticated Natural Language Processing (NLP), AI systems can automatically strip away identifiers, names, job titles, and department names from reports while preserving the critical context needed for an investigation. This is not simply a technical improvement. Instead, it should be seen as a trust builder. Compliance officers must lean into these anonymization technologies and communicate their existence to employees. If employees know the system genuinely protects their identities, the likelihood of them speaking up and doing so internally increases dramatically.

The bottom line: anonymity protections powered by AI are no longer optional; they’re essential.

Lesson 2: Real-Time Prioritization Through Machine Learning

Another game-changer AI brings is the ability to sort and prioritize whistleblower reports in real-time. In the old world, investigators had to slog through hundreds or thousands of cases manually, often missing the truly high-risk ones. Machine learning algorithms today can review incoming reports, categorize them by urgency, and identify patterns that would otherwise go unnoticed.

This means faster action on serious allegations and earlier intervention to mitigate legal and reputational risks. Compliance professionals should build KPIs around AI-driven triage: How quickly are high-risk reports escalated? How often are machine-prioritized cases substantiated? What’s the employee satisfaction rate with the process?

AI-powered triage means your whistleblower system can evolve from a passive intake mechanism to a real-time risk management engine.

Lesson 3: Meet Employees Where (and How) They Communicate

Here is a hard truth in compliance: if your speak-up program is still just a hotline, you are losing the next generation of reporters. Vince Walden puts it best: different generations communicate differently. Millennials, Gen Z, and certainly Gen Alpha are far more comfortable with digital chat-based systems than voice calls. In fact, in one major telecom company, the top question employees asked the compliance chatbot was, “Is this a conflict of interest?” Thus, proving how valuable and revealing these interactions can be.

The lesson is clear: You need chatbots, mobile-first platforms, and AI-driven systems that not only receive reports but also interact, guiding users through the reporting process, clarifying ambiguous issues, and capturing better data upfront. Modernizing your intake channels is not just about technology; it’s about inclusivity and building a true culture of compliance that meets employees where they are.

Lesson 4: Expansion of the Grievance Mechanism Use Case

Compliance isn’t just about FCPA violations and insider trading anymore.

New regulatory frameworks like Europe’s Corporate Sustainability Due Diligence Directive (CSDDD) require grievance mechanisms that extend to supply chain employees and local communities affected by a company’s operations. Your AI-enhanced grievance mechanisms must be flexible enough to receive and triage various issues, such as code of conduct violations, human rights complaints, community grievances, and more.

Andrew McBride has noted that AI-driven intake systems can immediately ask follow-up questions when an initial report is unclear, vastly improving the quality of the information collected. That front-end improvement makes triage, investigation, and resolution much more efficient.

Lesson learned: Build a grievance mechanism that isn’t one-size-fits-all. Flexibility is the new mandate.

Lesson 5: AI for Smarter, Scalable Triage

Finally, Matt Galvin has pointed out the richest opportunity: using AI to automate and scale the triage process fully. Imagine a system trained on thousands of past investigations that can predict the most likely next steps for each new report, whether a simple follow-up, a deep-dive investigation, or escalation to senior leadership.

AI models developed from 5,000 annual complaints identified predictable investigative paths at one company, making triage faster, smarter, and far more cost-effective. Of course, Galvin wisely cautioned that you need a robust and affordable solution to make this practical, especially if you’re operating across high-cost jurisdictions. But the payoff is immense: more efficient investigations, lower operating costs, and a stronger, data-driven compliance posture.

Lesson: The future of whistleblower response is not simply about responding; rather, it is about predicting, prioritizing, and preempting risk.

Final Thoughts

The future of whistleblower programs is not about adding more hotlines or printing more posters. It is about embedding AI and predictive analytics into every layer of your reporting system, from intake to triage to resolution. AI helps compliance teams protect anonymity, prioritize real risk, meet employees where they are, expand the use cases for grievance mechanisms, and scale triage operations without scaling costs.

AI doesn’t replace the demands of human judgment compliance—it amplifies them. The compliance officers who understand this shift, embrace these tools, and lead their organizations through the transition will not just improve whistleblower response. They will make compliance a strategic asset that drives transparency, trust, and sustainable growth.

In short, the future of whistleblower programs is here—and it’s intelligent.

The above is from my latest book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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Compliance Tip of the Day

Compliance Tip of the Day – The Future of Continuous Monitoring

Welcome to “Compliance Tip of the Day,” the podcast where we bring you daily insights and practical advice on navigating the ever-evolving landscape of compliance and regulatory requirements. Whether you’re a seasoned compliance professional or just starting your journey, we aim to provide bite-sized, actionable tips to help you stay on top of your compliance game. Join us as we explore the latest industry trends, share best practices, and demystify complex compliance issues to keep your organization on the right side of the law. Tune in daily for your dose of compliance wisdom, and let’s make compliance a little less daunting, one tip at a time.

Today, we consider why continuous monitoring is here to stay and how to use it in your compliance program.

For more on embedded compliance, check out my new book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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Compliance and AI

Compliance and AI: Transforming Compliance Through AI with Marcelo Erthal

What is the role of Artificial Intelligence in compliance? What about Machine Learning? Are you using ChatGPT? These questions are but three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, Tom is joined by Marcelo Erthal, CEO of ClickCompliance, to discuss the transformative role of AI in driving compliance.

Marcelo shares his professional background in computer science and the journey that led to the founding of ClickCompliance. He highlights the unique challenges faced by the compliance industry in Brazil and how AI can be leveraged to address these issues effectively. Marcelo delves into the innovative applications of AI by ClickCompliance, including their AI-powered whistleblower channel, and emphasizes the importance of integrating technology with human decision-making to enhance ethical practices and compliance culture within organizations. Tune in to gain insights into the future of compliance and how AI shapes the industry.

Key highlights:

  • AI’s Impact on Compliance in Brazil
  • The AI-Powered Whistleblower Channel
  • The Future of AI in Compliance
  • User Experience and Ethical Considerations

Resources:

Marcelo Erthal on Linkedin

ClickCompliance

Email Marcelo – marcelo.erthal@clickcompliance.com

 Tom Fox

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Check out my latest book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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Fox on Podcasting

For on Podcasting – Exploring AI in Podcasting with Robert Riggs

Join Tom Fox as he explores the world of podcasting, and get ready to be inspired to start your podcast. In this episode, Tom welcomes Robert Riggs, a true crime podcaster who uses AI in his entire podcast production process.

Originally from Paris, Texas, Robert Riggs embarked on his professional journey with aspirations in architecture, studying at Texas A&M University. However, his career trajectory took a transformative turn after his experience with a congressional committee, where the exposure to the power and impact of journalism ignited a new passion within him. Encouraged by notable figures such as CBS correspondent Bob Schieffer, Riggs shifted his focus to television journalism, where he spent over 30 successful years uncovering and sharing crucial stories with the public. Despite his initial pursuit of architecture, Riggs’s experiences in politics and media unveiled his true calling in journalism, leading to a distinguished career that combined his creative talents with a commitment to investigative reporting.

Key highlights:

  • Architectural Studies Sparked Journalism Career Success
  • Crime Podcast: Pandemic Sparked Transition to Sensational Stories
  • AI-Powered Creativity: Enhancing Writing and Insights
  • AI Technology’s Impact on Law Enforcement Security

Resources:

Texas Crime Stories on Amazon.com

Freed To Kill (YouTube)

True Crime Reporter Podcast

 Connect with Robert Riggs

True Crime Reporter on Facebook

Robert Riggs on LinkedIn

True Crime Reporter on Instagram

Artwork

Elaine Capers

Art by Elaine

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Blog

The Future of Continuous Monitoring: AI-Driven Compliance is Here to Stay

The compliance function has officially crossed the Rubicon. Artificial intelligence is no longer an experimental technology on the compliance periphery; it is at the center of forward-thinking compliance programs. We are witnessing a seismic shift in managing risk, detecting misconduct, and maintaining corporate integrity. AI enables real-time monitoring, uncovering subtle anomalies, and delivering the kind of automated oversight previously confined to PowerPoint dreams. As we enter 2025, the question is not whether your compliance function should adopt AI but how quickly you can make it central to your operations.

This blog post explores how compliance professionals can use AI to power a future-ready, continuously monitored compliance program. Today, we will explore five powerful lessons supported by real-world case examples and framed within current regulatory expectations. As Andrew McBride described, we are entering the “Holy Grail” era of compliance, where due diligence, internal and external data, and communications can be monitored holistically through AI agents trained to detect abnormalities and investigate unethical behavior.

Lesson 1: AI Enhances Risk Detection

AI doesn’t just speed up compliance; it sharpens it. Traditional compliance teams have long struggled to keep up with massive amounts of structured and unstructured data. From financial transactions to email threads, vendor records, and chat logs, there are risk indicators that no human team could feasibly monitor in real-time. Enter AI and machine learning.

With natural language processing (NLP), AI systems can read between the lines. They detect shifts in sentiment, keyword patterns, and coded language that may indicate bribery, fraud, or circumvented controls. Matt Galvan emphasizes this as a game-changer, especially when GenAI tools synthesize background due diligence with transactional anomalies to flag red flags early before misconduct manifests.

Better still, AI eliminates the “needle in a haystack” problem. It builds outliers into profiles, detects slush fund behavior, and creates actionable summaries with supporting documentation. You are not simply faster, and you are smarter. But here’s the kicker: the quality of AI outputs depends on the quality of your inputs—poor data = poor detection. AI must be trained on clean, complete, and bias-aware datasets. And AI should never operate in a vacuum. Human judgment remains essential to interpret findings and assess the business context.

The bottom line is that AI transforms compliance from reactive to proactive. It is no longer about catching up; it is about staying ahead.

Lesson 2: Regulators Expect AI-Driven Compliance

If you need a business case for AI, start with the Department of Justice (DOJ) and its 2024 Evaluation of Corporate Compliance Programs (2024 ECCP). The DOJ has moved beyond encouragement and now expects companies to adopt real-time, AI-powered compliance monitoring. Failing to implement these tools could soon be seen as a failure to meet basic compliance standards.

This isn’t just about the DOJ. The SEC, FinCEN, OCC, Federal Reserve Board, and the Financial Action Task Force (FATF) are pushing toward a future where real-time compliance tools are a baseline requirement, not a nice-to-have. What’s more, regulators are now asking companies to explain their AI. What data powers your algorithms? How are decisions made? Can you justify why one transaction was flagged and another was not? Transparency and audibility are no longer optional; they are regulatory imperatives.

Regulators understand that AI can reduce legal risk and enhance oversight. They expect you to understand it, too.

Lesson 3: AI Identifies Emerging Geopolitical Risks

Welcome to the volatility vortex of 2025. What was a low-risk jurisdiction on Friday can be a sanctioned country by Monday. Supply chains bend and sometimes break under the weight of sanctions, tariffs, and political upheaval.

Traditional compliance programs cannot react fast enough. This is where AI earns its keep. AI flags emerging geopolitical risks before they bite by ingesting thousands of data points from news, regulatory alerts, trade databases, and internal procurement systems. Andrew McBride’s example of a virtual bill of materials is especially prescient: imagine knowing exactly where a conflict mineral is buried in your supply chain and being alerted when a regulatory status changes.

AI makes it possible. Galvan pointed out that the same data sets used to optimize supply chains can be re-leveraged for compliance risk analysis. In other words, compliance teams should not operate with less information than procurement or logistics. If you are waiting for geopolitical risk to reach your front door, sadly, you are already behind. AI enables a proactive posture to protect your business from international surprises.

Lesson 4: Automating Compliance Reduces Costs and Increases Efficiency

Efficiency is often an underappreciated outcome of effective compliance. But let’s be clear: automation isn’t just about doing things faster; it is about doing them better and cheaper. AI automates transaction monitoring, scans for real-time anomalies, and triages cases for deeper review. No more relying on random audits or static checklists. AI helps compliance programs scale, especially for global companies managing thousands of vendors and counterparties.

Consider regulatory reporting: AI can automate data collection and reporting preparation, ensuring timely submissions and reducing the burden on internal teams. These efficiencies translate directly into cost savings while improving quality.

McBride’s point about AI-driven NLP catching potential bribery schemes in real-time is a glimpse into what’s already possible. Emails, Teams messages, and Slack conversations are goldmines of risk insight when monitored responsibly and legally. Just-in-time risk flags make compliance not only real-time but also real-impact.

AI is your accelerator if you want a leaner, faster, and smarter compliance function.

Lesson 5: Early Adoption of AI Is a Competitive and Ethical Advantage

Finally, we come to the business case. Early adopters of AI-driven compliance are already reaping the rewards. Not just in regulatory peace of mind but in market leadership.

AI enables transparency, consistency, and accountability. It allows organizations to demonstrate good governance, not just say they care about it. That builds trust with investors, customers, and regulators alike. It also helps embed a culture of integrity. By quickly catching issues and addressing them, AI empowers ethics to be lived, not laminated on a wall. And companies that bake ethics into their business model outperform over the long term.

The inverse is also true: those who delay AI adoption will soon find themselves scrambling to catch up, facing increased regulatory scrutiny and higher costs. The future of compliance is not five years away. It’s now. Organizations that embrace AI today will be tomorrow’s industry leaders in ethics, governance, and profitability.

AI is not simply a tool; rather, it is transformational. It allows compliance professionals to do more, do it faster, and do it better. But success requires more than just buying technology. It requires thoughtful integration, rigorous oversight, and a strategic mindset. Continuous monitoring is the future, and the future has arrived. Together, let us build compliance programs that are not only compliant but also resilient, efficient, and ethical.

The above is from my latest book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com.

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Compliance Tip of the Day

Compliance Tip of the Day – Leveraging AI for Real-Time Third-Party Risk Management

Welcome to “Compliance Tip of the Day,” the podcast where we bring you daily insights and practical advice on navigating the ever-evolving landscape of compliance and regulatory requirements. Whether you’re a seasoned compliance professional or just starting your journey, we aim to provide bite-sized, actionable tips to help you stay on top of your compliance game. Join us as we explore the latest industry trends, share best practices, and demystify complex compliance issues to keep your organization on the right side of the law. Tune in daily for your dose of compliance wisdom, and let’s make compliance a little less daunting, one tip at a time.

Today, Tom Fox considers the advantages of using AI for third-party risk management.

For more on embedded compliance, check out my new book, Upping Your Game: How Compliance and Risk Management Move to 2030 and Beyond, available from Amazon.com