Tag: data driven compliance

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31 Days to More Effective Compliance Programs

One Month to a More Effective Compliance Program Through Data Analytics: Day 2 – Data-Driven Solutions for Compliance and Risk Management

In today’s rapidly evolving business landscape, compliance and risk management have become critical components of any successful organization. With the increasing complexity of regulations and the growing need for transparency, companies are turning to AI and data-driven solutions to enhance their compliance programs and mitigate risks. A key to this approach is the user adoption of AI-driven compliance tools.

AI and data-driven solutions have the potential to revolutionize compliance and risk management practices. By leveraging advanced analytics, machine learning, and automation, organizations can enhance decision-making processes, improve efficiency, and proactively address compliance risks. However, it is essential to prioritize user adoption, consider the impact on user experience, and strike a balance between automation and human judgment. With the right approach, AI and data-driven solutions can become valuable assets in the pursuit of effective compliance and risk management.

 Three key takeaways:

1. Compliance, risk management and corporate legal can all benefit from a data-driven approach to risk management.

2. By setting up alerts, compliance officers can be notified in real-time about potential risks or non-compliant activities.

3. There will always be the need for a balance between automation and human judgment.

For more information on this month’s sponsor KonaAI, check out their website, here.

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31 Days to More Effective Compliance Programs

One Month to a More Effective Compliance Program Through Data – Driven Compliance: Day 1 – Introduction to Data – Driven Compliance

In the world of compliance, data analytics and monitoring have become increasingly important. The Department of Justice (DOJ) has emphasized the significance of effective compliance programs, highlighting the role of data analytics and technology-driven approaches. Data-driven compliance helps companies gain insights into their data for informed decisions and improved compliance culture. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency. A key is the ability to facilitate collaboration and data sharing without compromising privacy or security, thereby enhancing the performance of predictive models.

In the Albemarle FCPA enforcement, the DOJ said for the first time that data-driven compliance is now a part of the requirements of an effective compliance program. By leveraging data and data analytics, compliance professionals more effectively manage risks, improve compliance culture, investigate issues, and ultimately keep companies out of trouble. Additionally, a robust data analytics platform will also contribute to making the business better by identifying hidden money, stopping improper payments, and enhancing overall business efficiency.

By leveraging data analytics, companies can identify hidden money, prevent improper payments, and enhance overall business efficiency. In today’s regulatory environment, the risk of not adopting data-driven compliance approaches is high, making solutions essential for companies seeking to stay compliant and improve their business practices.

 Three key takeaways:

1. The DOJ identified data analytics as a part of a best practices compliance program in the Albemarle FCPA enforcement action.

2. Data-driven compliance allows companies to access their data, search vendors, analyze transactions, run corruption and fraud tests, and even evaluate predictive models.

3. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency.

For more information on KonaAi, click here.

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Innovation in Compliance

Innovation in Compliance – Igor Volovich on Moving Towards Data – Driven, Risk – Based Compliance

Innovation comes in many areas and compliance professionals need to not only be ready for it but embrace it. One of those areas is telehealth and telemedicine. My guest in this episode is Igor Volovich, the Vice President of Compliance Strategy at Qmulos. This podcast is sponsored by Qmulos.

Igor Volovich brings a unique perspective to the table regarding the importance of executive accountability and proactive risk governance in cybersecurity. Volovich emphasizes the crucial role that executives play in ensuring compliance, controls, and security posture decisions, and criticizes the current model of firing and hiring Chief Information Security Officers as ineffective. He believes that risk governance should be a holistic business function, rather than separate departments handling different types of risks, and encourages boards of directors to question and challenge reports on compliance and risk posture. Drawing from his extensive experience and deep understanding of the field, Volovich advocates for a real-time convergence of compliance, security, and risk management. Join Tom Fox and Igor Volovich on this episode of the Innovation in Compliance podcast to delve deeper into these insights.

Key Highlights:

  • Maintaining Compliance Integrity through Executive Accountability
  • Misrepresentation of Compliance in Penn State
  • Moving Towards Data-Driven, Risk-Based Compliance
  • Data-Driven Risk Management for True Compliance
  • Incentivized Whistleblowing and Cybersecurity Accountability
  • Elevating Risk Governance for Effective Cybersecurity
  • Real-Time Compliance and Data-Driven Automation

Resources:

Igor Volovich on LinkedIn

Qmulos

 

Tom

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Data Driven Compliance

Data Driven Compliance: Current Trends and Innovations

Do you need help keeping up with your business’s ever-changing compliance programs? Look no further than Tom Fox’s award-winning Data-Driven Compliance podcast, which features an in-depth discussion about the uses of data and data analytics in compliance programs. Data-Driven Compliance is back with another exciting episode. Today, we take things differently by posting a webinar sponsored by KonaAI entitled “Data Driven Compliance: Current Trends and Innovations.” Vince Walden hosted Tom Fox and Rayne Towns.

Tom Fox and Rayne Towns are seasoned professionals in the field of compliance. Fox is a leading authority in the industry and the Compliance Podcast Network’s founder. Towns are Nokia’s global head of ethics and compliance, risk, and monitoring. Fox thinks that risk management and fraud prevention strategies based on data are the next steps in the compliance field. He stresses how important data analytics are for making compliance programs work better. He also acknowledges the need for human interpretation and utilization of the data.

On the other hand, Towns sees data-driven compliance strategies to strengthen and improve the compliance program’s effectiveness, using data analytics to identify and address gaps in the compliance program. She also emphasizes the importance of prioritizing and starting with solving specific problems when implementing data analytics. Join Vince Walden, Tom Fox, and Rayne Towns on this Data Driven Compliance podcast episode to learn more about their perspectives on data-driven risk management and fraud prevention compliance strategies.

Highlights Include:

  • Transforming Compliance Through Data Analytics
  • Effective Strategies in Compliance and Risk Management
  • The Role of Data Analytics in M&A Compliance
  • Leveraging diverse data sources for risk assessment
  • Managing Risks: Vendors, Customers, and Employees
  • Strengthening Compliance Programs Through Team Collaboration
  • The Power of Generative AI in Compliance
  • Enhancing Compliance Programs with Predictive Models
  • Factors Influencing Budget Approvals and Getting Budget

 Resources:

KonaAI

 Tom Fox 

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Blog

Data Driven Compliance: Current Trends and Innovations

Data-driven compliance strategies have become a game-changer in risk management and fraud prevention. I recently had the opportunity to participate in a KonaAi-sponsored webinar entitled “Data Driven Compliance: Current Trends and Innovations.” The event was hosted by Vince Walden and featured Rayne Towns, the Global Head of Risk and Monitoring at Nokia.

I view data-driven compliance strategies in risk management and fraud prevention as an evolution of the compliance profession. It can be seen in the importance of data analytics in improving the effectiveness of compliance programs. There is and will always be the need for human interpretation and utilization of the data. Towns see data-driven compliance strategies as a way to strengthen and improve the compliance program’s effectiveness, using data analytics to identify and address gaps in the compliance program. She also emphasizes the importance of prioritizing and starting with solving specific problems when implementing data analytics. Vince Walden joined in with his perspective on data-driven compliance strategies in risk management and fraud prevention.

Data driven compliance is one more in the evolution of the compliance profession, one more step. Fortunately, we have evolved from when compliance was very much legal driven by lawyers. And over time, most compliance professionals (and equally importantly, the DOJ and SEC) began to view compliance as a business process. As a business process, it can be measured, it can be studied, it can be monitored, and it can be approved based on that information.

We began with the importance of data analytics in compliance programs. The shift towards data-driven compliance has transformed the profession from solely legal-driven to a measurable and improvable business process. This shift has been recognized by the Department of Justice (DOJ) and the Securities and Exchange Commission (SEC). The SEC first called out the use of data analytics, as it did in the Order concluding the Key Energy FCPA enforcement action. Most recently, the Albemarle FCPA resolution specifically called out the company’s use of data analytics in its remediation program, which occurred during the pendency of its FCPA resolution process.

In 2016, the Securities and Exchange Commission called out data analytics in an enforcement action for the first time. It was the Key Energy FCPA enforcement action, where they suggested data analytics would have shown or demonstrated a range of values outside the norm for certain gifts, travel, and entertainment for the company. This demonstrated that regulatory thinking evolved as well. Now, data analytics has become a critical element to improve the business process of compliance. Data driven compliance allows you to measure it, monitor it, and improve it all in a documented fashion so that if a regulator ever comes knocking, you can demonstrate to them not only the effectiveness of your compliance program but also how you are moving your compliance regime forward based on solid data and analysis.

AB InBev was one of the first companies to successfully implement data-driven compliance strategies, moving from detection to prevention of issues. This shift has resulted in cost savings and improved risk management for the company. Equally significant was the company’s public discussion of the BrewRight program and how it evolved into a broader business process tool.

The DOJ always telegraphs what is important to them. Starting 2020 with the 2020 Update to the Evaluation of Corporate Compliance Programs, they said the CCO must have access to all data across an organization. You may have data silos, but a CCO must be able to punch through all of those data silos. It is a natural progression from 2020 to this Albemarle FCPA enforcement action, where the DOJ clearly stated that the company’s data analytics program allowed them to move forward with the remediation.

Moreover, the critical part was that Albemarle was not required to have a monitor. To avoid having a monitor required under the resolution required two things. One, an effective compliance program, but two, testing of it. And the DOJ has made very clear those requirements. Albemarle had an effective compliance program, but more importantly, they have monitored it and tested it through their data analytics program. Their compliance function’s actions saved the company millions. And it tells the rest of us what the DOJ will look for in a compliance program going forward.

Data analytics plays a crucial role in various aspects of compliance, including M&A due diligence and risk assessment. By leveraging external data sources, compliance professionals can gain valuable insights into potential risks associated with vendors, customers, and employees. This information allows them to make informed decisions and mitigate risks effectively.

Compliance professionals must be aware of the importance of data-driven compliance strategies’ impact on decision-making. Using data analytics, compliance professionals can measure, monitor, and improve compliance programs in a documented fashion. This demonstrates the compliance program’s effectiveness and enables organizations to adjust and adapt more quickly to changing regulatory requirements.

However, implementing data-driven compliance strategies comes with its own challenges. Balancing the tradeoffs between automation and manual processes is one such challenge. While automation can streamline compliance processes and identify gaps, manual touches are sometimes necessary. Data analytics can help identify these gaps and drive accountability and training efforts.

There is great potential for new technologies like generative AI and machine learning to enhance compliance programs. These technologies can make compliance processes more efficient and enable better decision-making. For example, generative AI can guide users through dashboards and provide valuable insights, making compliance tasks easier and more effective.

Budget approvals are another crucial consideration for organizations when implementing data-driven compliance strategies. CFOs prioritize keeping the business out of legal risks and fines, fraud prevention and recoveries, and improved internal controls. Data analytics is not just a “nice-to-have” but a “must-have” for organizations. Those that do not embrace data analytics or fail to move towards it are at risk.

In conclusion, data-driven compliance strategies have revolutionized the compliance profession. Organizations can measure, monitor, and improve compliance programs by leveraging data analytics, resulting in cost savings, improved risk management, and better decision-making. While there are challenges associated with implementing data-driven compliance strategies, the benefits far outweigh the tradeoffs. Compliance professionals must embrace data analytics as a critical element of their compliance programs to stay ahead in an ever-evolving regulatory landscape.

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Data Driven Compliance

The Uses of Data Driven Compliance: Part 5 – Compliance Successes Using Data Driven Compliance

Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

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. Over these five podcasts, we have discussed generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In this concluding Part 5, we will look at some compliance successes using a data driven approach.

In the world of business, compliance is a critical aspect that ensures organizations adhere to legal and ethical standards. Compliance not only helps companies avoid legal troubles but also plays a significant role in improving business efficiency and profitability. In this episode, Tom and Vince considered the advanced compliance tools for fraud detection and cost savings. Our discussion entailed a comprehensive analysis of the key factors that impact advanced compliance tools for fraud detection and cost savings, exploring the tradeoffs involved, the challenges faced, and the importance of considering the impact on decision-making.

Key Highlights:

  • Invoice Price Discrepancy Detection and Recovery
  • Compliance-driven Efficiency through Fraud Risk Analysis
  • Shifting Travel Expenses for Manufacturing Observations
  • Integrating Multiple Data Sources for Fraud Detection

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

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Blog

Compliance Successes Using Data-Driven Compliance

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 a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it and some success stories. In this Part 5, we will look at some compliance successes using a data-driven approach.

As always, I am joined by Vince Walden, founder and CEO of KonaAI. There is a quiet revolution happening in the realm of compliance. It’s one that, if harnessed correctly, can turn a typically reactive process into a proactive strategy. I am of course talking about data-driven compliance. By making use of the vast amounts of data your organization collects, you can uncover potential compliance risks before they turn into actual problems. This approach can be a game-changer, not just for your role as a compliance officer, but also for your organization’s overall risk management strategy. No longer will you be caught off guard. Instead, you’ll be leading the charge, armed with real-time insights and actionable data.

Sometimes, we face unintended consequences in a business setting – consequences that occur unexpectedly because of actions taken. They could be beneficial, like improvements to the business or reduced costs. Or, they could point to underlying issues that need addressing. However, these consequences can become visible only when multiple risk triggers are considered. Here’s the interesting bit. Vince underscored the importance of considering multiple risk triggers when analyzing data. Relying on just one test or indicator won’t cut it. It isn’t just one anomaly that signals an issue. The convergence of multiple risk signals helps in identifying the potential problem areas.

Compliance is not simply about rules and regulations. It is about understanding and managing risks, ultimately leading to better business decision-making. When well-executed, it can yield great rewards or “compliance wins”. One example is identifying high-risk areas in your business and managing them proactively. A high-risk business unit in high-risk FCPA environments. By analyzing their fraud risks, the company found that salespeople wound up spending quite a bit on gifts, travel, and entertainment for foreign officials to secure a sale. The solution? Limit setting. Not only did it save them money, but decreased the sales cycle, and the cherry on top – a clientele of higher quality.

Using data analysis techniques to improve business efficiency is of utmost importance in today’s business environment. By leveraging data analysis, you have the power to identify bottlenecks, streamline processes, and optimize your operations. This not only saves time and resources but also enhances overall compliance and risk management efforts. With every step you take towards harnessing the power of data, you are paving the way for increased business efficiency and success in your industry.

Compliance is the critical aspect that ensures organizations adhere to legal and ethical standards. Compliance not only helps companies avoid legal troubles but also plays a significant role in improving business efficiency and profitability. Data driven  of advanced compliance tools for fraud detection and cost savings was discussed. This article aims to provide a comprehensive analysis of the key factors that impact advanced compliance tools for fraud detection and cost savings, exploring the tradeoffs involved, the challenges faced, and the importance of considering the impact on decision-making.

One of the advanced compliance tools discussed in the episode is Unit Price Analysis. This tool utilizes advanced technology to identify discrepancies in vendor invoices, potentially saving companies significant amounts of money. By comparing prices charged for the same product by the same vendor in different locations, contract compliance can be achieved. As Walden explained, even a small difference in unit prices can translate into substantial recoveries when multiplied by tens of thousands or hundreds of thousands of units. This tool highlights the importance of scrutinizing vendor invoices and ensuring fair pricing across different locations.

To effectively detect fraud and ensure compliance, it is crucial to integrate multiple data sources into compliance monitoring programs. As Vince Walden mentions, transparency is key, and integrating various data sources brings that transparency into play. By pulling in third-party payments, due diligence work, sanctions lists, whistleblower hotline data, and other indicators, companies can gain actionable insights and identify improper payments and risk scoring. The ability to put in multiple risk triggers and analyze data from various sources allows for a more comprehensive and accurate assessment of potential risks.

However, implementing advanced compliance tools for fraud detection and cost savings is not without its challenges. It is essential to know when to stop reviewing transactions or high-risk activities. Risk scoring frameworks help prioritize the most critical transactions, but continuous improvement is necessary to update the models and identify any missed risk triggers. Additionally, the complexity of integrating multiple data sources and implementing advanced compliance tools requires careful planning and consideration.

The impact of advanced compliance tools for fraud detection and cost savings goes beyond financial benefits. These tools can change the character of the people who interact with the company. By shifting the responsibility of travel expenses to foreign officials, the company not only achieved significant cost savings but also attracted decision-makers who came to sign contracts. This unexpected outcome demonstrates the power of compliance and fraud risk prevention in improving business efficiency and quality of customers.

In conclusion, advanced compliance tools for fraud detection and cost savings play a crucial role in ensuring legal and ethical standards are met while improving business efficiency and profitability. Unit Price Analysis and Fraud Risk Analysis are just two examples of such tools discussed in the podcast episode. By integrating multiple data sources, implementing risk scoring frameworks, and continuously improving compliance models, companies can achieve transparency, identify risks, and make informed decisions. However, it is important to consider the challenges and tradeoffs involved in implementing these tools. Ultimately, the impact of advanced compliance tools extends beyond financial benefits, positively influencing the overall business environment.

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

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Data Driven Compliance

The Uses of Data Driven Compliance: Part 3 – Making the Business Case for Data Driven Compliance

Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

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. Over these five podcasts, we will discuss generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. Part 3 discusses how to make the business case for data-driven compliance.

Vince Walden, a seasoned professional with over 25 years of experience in compliance and risk management, is the founder and CEO of KonaAI, a software company specializing in automating data management for compliance and fraud risk management. Walden believes that compliance professionals play a crucial role in data-driven risk management. He emphasizes the need for these professionals to make a business case for data-driven compliance to both risk professionals and the CFO or head of operations.

According to Walden, data-driven compliance not only aligns with regulatory expectations and avoids risks, but it also improves the overall functioning of the business by identifying hidden money, reducing costs, eliminating waste and fraud, and preventing improper payments. His perspective is shaped by his extensive experience in the field, including his work as a consultant, fraud investigator, and forensic technologist. Join Tom Fox and Vince Walden as they delve deeper into this topic on this episode of Data Driven Compliance.

Key Highlights:

  • The Importance of Data Driven Compliance
  • Effectively Conveying Compliance Value to CFOs
  • The Impact of Data Driven Compliance
  • Maximizing Compliance ROI through Risk Mitigation

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

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Blog

Making the Business Case for Data Driven Compliance

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. Part 3 will discuss making the business case for data-driven compliance.

Vince Walden, the CEO and founder of KonaAI, is here with me as always. Walden pointed out a dual aspect to this, bringing risk and financial perspectives into play. The risk perspective aligns with meeting expectations from the Department of Justice, SEC, or other regulatory bodies, which include culture alignment and prudent data handling. The financial end deals with a knock-on effect of compliance: a potential improvement in financial performance by curtailing revenue leakage through fraud and improper payments. This is what compliance professionals do every day. In regulated industries, however, it is not simply about convincing others of the necessity. It is also about aligning the company’s tools and methods to meet the expectations of external regulatory bodies. In an ideal world, a company’s compliance goals should align with its business goals. But achieving this balance is easier said than done.

While regulatory compliance is important, businesses are about generating revenue and turning a profit. Balancing compliance with profitability can often seem like a tightrope walk. But businesses need to realize that this balance is possible and beneficial in more ways than one. Compliance and profitability could coexist with the help of a business-savvy compliance tool. Compliance professionals need to distance themselves from a narrow focus on policies and enforcement. A broader perspective, including understanding the importance of data-driven metrics and business context, can position these professionals as valuable contributors to an organization’s bottom line. Yet Walden warned against complacency, saying that professionals who only focus on regulation and leave the business aspect by the wayside can find themselves marginalized.

Increasingly, companies realize the value of having multiple perspectives at the decision-making table. While finance and internal audit have always been pivotal, including compliance in these discussions provides a more rounded view. This broad-based approach can unlock novel insights into operational efficiency, risk mitigation, and more. The dialogue between compliance, finance, and procurement has been improving. Industries like telecommunications, oil and gas, technology, and pharmaceuticals are leading this change, recognizing the value of integrated discussions. Vince stresses the need for transparency in transactions that pose risks to the organization and sees compliance professionals playing a significant role in these discussions.

One of the greatest challenges of being a compliance professional is speaking the language of the CFO and financial stakeholders. Convincing them about the monetary benefits of compliance involves more than just throwing around regulation jargon – it requires the ability to present your case strategically. Compliance professionals understand their audience and tailor their discussions accordingly. He advises professionals to focus on how data-driven compliance can save money, improve efficiencies, and prevent improper payments. This is how to get the CFO and other financial stakeholders on board and win them over with the business case for compliance.

Walden emphasizes the importance of understanding the CFO’s financial language to argue for effectively implementing data-driven compliance. Compliance professionals must demonstrate the return on investment and the success of compliance and fraud risk management programs. Key performance indicators such as dollar recoveries and risks avoided can be used to measure the impact of data-driven compliance. Walden also highlighted the significance of finding hidden money and stopping improper payments before they occur. By utilizing data-driven metrics, compliance professionals can identify the riskiest transactions and prevent fraud, waste, and abuse. This not only aligns with the DOJ’s expectations but also improves the overall functioning of the business.

Also of significance is the role of compliance professionals in finance and procurement. More and more companies are recognizing the need to have compliance professionals at the table when making financial decisions. Compliance professionals must be able to speak the language of CFOs and help them understand the importance of compliance in reducing costs, eliminating waste, and preventing improper payments.

To make a compelling business case, compliance professionals should focus on the financial benefits of data-driven compliance. For example, if a company disburses hundreds of millions or billions of dollars in accounts payable payments to third parties, implementing a risk scoring system can help identify the top ten riskiest transactions at risk for fraud, waste, and abuse. The company can recover millions of dollars by investing a relatively small amount, such as $200,000, resulting in a significant return on investment.

It is also important for compliance professionals to collaborate with finance, procurement, and internal audit teams. The Association of Certified Fraud Examiners (ACFE) and COSO collaborated on writing the COSO Fraud Risk Management Guide, which offers useful advice for running a fraud risk management program. The principles outlined in this guide align with the DOJ’s guidance on effective compliance programs. Compliance professionals should take the initiative to engage with CFOs, heads of accounting, and heads of internal audit to foster collaboration and ensure compliance efforts are aligned with overall business objectives.

Compliance professionals play a vital role in data-driven risk management. By making a compelling business case for data-driven compliance, they can demonstrate the financial benefits, such as preventing fraud, improving cash flow, and uncovering hidden funds. Collaboration with CFOs and other key stakeholders is crucial to ensure compliance efforts are integrated into overall business strategies. Compliance professionals must continue to adapt and evolve their understanding of finance and procurement to effectively communicate the importance of data-driven compliance in mitigating risks and driving business success.

Finally, remember that data-driven compliance can improve financial performance and ROI. By harnessing the power of data to inform compliance activities, professionals in regulated industries can effectively navigate complex regulatory landscapes, minimize risks, and optimize business operations. The steps in making a business case for data-driven compliance lay the foundation for success, enabling professionals to leverage data insights, drive informed decision-making, and, ultimately, drive better business outcomes. Embrace data-driven compliance and unlock the potential for improved financial performance and ROI—within your reach.

 Resources:

Connect with Vince Walden on LinkedIn

Check out KonaAI

Connect with Tom Fox on LinkedIn

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Data Driven Compliance

The Uses of Data Driven Compliance: Part 1 – What’s the Hype?

Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

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. Over these five podcasts, 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 ask, ‘What’s all the hype around generative AI and ChatGPT in compliance’?

Vince Walden is a seasoned professional in the field of generative AI and chatbots, with a particular focus on compliance monitoring. He firmly believes that these technologies have the potential to improve the efficiency and effectiveness of compliance monitoring significantly. Drawing from her extensive experience in technology-assisted review and his current role at KonaAI, Walden sees practical applications for generative AI in navigating compliance monitoring functions and interacting with data dashboards, eliminating manual intervention. However, he also acknowledges the potential pitfalls of over-reliance on generative AI, such as the risk of false statements and the need for fact-checking. Despite these challenges, Walden remains optimistic about the future of generative AI and chatbots in transforming the compliance industry and explains why you should.

Key Highlights:

  • The Evolution of Compliance Monitoring with Generative AI
  • Efficient Compliance Monitoring with Generative AI
  • The Importance of Fact-Checking ChatGPT
  • Customizable Compliance Monitoring Tool for Companies

Resources:

Connect with Vince Walden on LinkedIn

Check out KonaAI

Connect with Tom Fox on LinkedIn