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FCPA Compliance Report

FCPA Compliance Report: Data Analytics in Compliance: Lessons from Scoular

In this episode, Tom Fox welcomes back Vince Walden, CEO of konaAI, which is the sponsor of this podcast series. Vince is well known for his leadership in data analytics, machine learning, and AI, and we take a deep dive into all of these topics through the lens of the Scoular FCPA Enforcement action.

The Scoular case is a unique learning tool for using data analytics, machine learning, and AI for compliance. In this matter, roughly 2,000 near-$2,000 payments were tied to customs brokerage activity. This case illustrates broader uses of data analytics beyond numbers, including mining unstructured text in invoice and payment-description fields (e.g., repeated terms like “re-inspection fee” and Spanish phrases) and linking it to structured AP data.

Walden explains how combining structured and unstructured data reduces investigator bias, how round-dollar and repetitive payments to high-risk vendors can be continuously risk scored using hundreds of tests, and how machine learning can “find more like this” across large transaction populations. We discuss integrating communications data when available, using monitoring within typical 30–60-day payment cycles to prevent payments, supporting self-disclosure decisions amid DOJ guidance, and launching a minimum viable analytics program by starting with AP spend, invoices, POs, and payments pulled from ERP systems.

Key highlights:

  • Structured vs. Unstructured Data
  • Red Flags Round Dollars
  • Text Mining and Three Lines
  • Transactional Fingerprints
  • Machine Learning for Compliance
  • Linking Comms and Payments
  • Prevention Through Monitoring
  • Continuous Improvement and ROI
  • Self-Disclosure and Culture Data
  • 90-Day Analytics Roadmap

Resources:

konaAI

Vince Walden on LinkedIn

Tom Fox

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To learn about the intersection of Sherlock Holmes and the modern compliance professional, check out Tom’s latest book, The Game is Afoot-What Sherlock Holmes Teaches About Risk, Ethics and Investigations on Amazon.com.

Categories
Blog

Scoular DPA Part 5: From Reinspection Fees to Executive Signatures: Final Lessons from Scoular

From Reinspection Fees to Executive Signatures: Final Lessons from Scoular

The Scoular Company FCPA enforcement action began with a deceptively simple fact pattern. Customs brokers allegedly paid Mexican officials approximately $2,000 per train so agricultural shipments could cross the border despite adverse inspection findings. The brokers invoiced the payments to Scoular as “reinspection fees.” That description, however, was only the first layer of the case.

Across this blog post series, Scoular Company became a study in third-party risk, internal controls, cartel exposure, off-channel communications, facilitating payments, data analytics, voluntary disclosure, remediation, DOJ oversight, and executive accountability. Each article examined one part of the control environment. Taken together, they tell a larger story about how bribery becomes normalized inside an operating process and what a company must do when that process fails.

The source distinction matters. I have now posted two series on the enforcement action. The first series relied on the DOJ Press Release, which announced the resolution and described the government’s allegations and conclusions. The second series relied on the formal Deferred Prosecution Agreement (DPA), in which Scoular admitted, accepted, and stipulated that the facts were true. The DPA did not merely add detail. It changed the evidentiary foundation of the analysis.

I.              Series One: Lessons From the DOJ Press Release

a.     A Small Payment Became an Enterprise Control Failure

The Press Release series began with the mechanics of the scheme. According to the DOJ announcement, the conduct ran from 2013 through 2019, involved more than $400,000 in bribes, and enabled Scoular to avoid more than $6.5 million in fees and costs. Scoular entered a three-year DPA and agreed to pay a $9,769,521 criminal penalty and $414,351 in forfeiture.

The compliance lesson was never the size of one payment. It was repetition. A recurring round-dollar charge, submitted by customs brokers, approved over six years, and recorded under a plausible description became part of the company’s operating model.

The phrase “reinspection fee” demonstrated why invoice controls must examine commercial substance. A three-way match can confirm that an invoice, purchase order, and approval agree. It cannot establish that the underlying service was legitimate. For a high-risk customs payment, the control must ask what government action occurred, who received the money, whether an official fee schedule supports the amount, and what happened to the shipment after payment.

This also exposed the limits of onboarding due diligence. Screening a broker and obtaining an anti-corruption certification are only the beginning. Effective third-party management connects onboarding to invoices, transaction monitoring, business outcomes, periodic review, audit rights, and termination decisions.

b.    Cartel Risk Expanded the Compliance Perimeter

The Press Release stated that a portion of the bribe payments ultimately benefited individuals associated with a cartel operating at the U.S.-Mexico border, although the DOJ said Scoular Company and its employees did not know of that connection.

In an episode of the FCPA Compliance Report,  Matt Ellis discussed a broader question. Traditional anti-corruption diligence focuses on government-facing intermediaries, ownership, political exposure, adverse media, and government relationships. Organized-crime connections may not appear in a corporate registry or screening database.

The lesson was not that every cross-border transaction benefits a cartel. It was that companies must understand the environment in which their money, goods, and third parties move. Customs brokers, trucking companies, warehouses, security providers, labor contractors, and subcontractors can create overlapping corruption, money-laundering, sanctions, trade, security, and organized-crime risks.

c.     WhatsApp Was Part of the Control Environment

The Press Release series also examined WhatsApp and other communications used to discuss shipments and payments. The critical point was not that employees selected an unapproved application. It was that the substantive business decision could occur in a private message while the formal system recorded only the resulting invoice. Ellis emphasized that enforcement priorities may change, but evidence does not. A WhatsApp message can establish knowledge, authorization, concealment, or control circumvention even without a standalone off-channel communications charge.

A defensible program must identify the applications employees actually use, define which business activities may occur there, preserve relevant records, address local privacy and employment law, and enforce violations consistently. The company must also be able to connect communications with payment records, inspection results, shipment identifiers, approval logs, and bank data.

Facilitation Payments Did Not Fit the Facts

The Press Release series then addressed why the payments were not protected as facilitating payments. The FCPA exception is narrow. It may cover a payment intended to expedite a routine, nondiscretionary governmental act that the company is already entitled to receive. Scheduling an inspection may be routine. Paying an official to disregard a failed inspection is not. The alleged Scoular payments did not change timing. They changed the outcome and enabled shipments to cross despite findings of dirt, soil, and other impurities.

Amount, urgency, local custom, invoice wording, and use of a third party do not create the exception. Nor does the exception authorize a false accounting entry. A company that permits facilitating payments must still confront local law, accurate books and records, approval controls, and the practical difficulty of asking employees to make a narrow legal distinction under commercial pressure.

II.   Lessons From the DPA and Admitted Facts

a.     The DPA Showed How the Scheme Became Normal

The DPA blog post series began by distinguishing allegations in the Press Release from facts Scoular Company admitted. The Statement of Facts showed that stricter Mexican inspections created operational pressure (IE., more or new/different risks) in 2013. A broker proposed a fee on every train and promised that Scoular Company would “not have a single risk of adverse determinations.” The proposal was discussed at Scoular Company’s Kansas office and then replicated through additional brokers and border crossings.

The communications removed ambiguity. Employees discussed soil findings, special payments, trains released after inspections, and situations in which “normal procedures are not working.” By 2018, a communication referred to offering officials more than was normally given. These facts showed normalization. The scheme was not simply a broker’s unauthorized act. It became a repeatable process linking operational pressure, management knowledge, third parties, communications, invoices, approvals, and favorable business outcomes.

b.    Stopping the Conduct Was Not Self-Disclosure

The DPA disclosed that internal reports emerged in 2019 and Scoular Company changed its practices and ended direct engagement with the brokers. Yet the company did not receive voluntary self-disclosure credit because it did not voluntarily and timely report the conduct. The DPA does not reveal the company’s internal debate so that speculation would be inappropriate. It does establish a governance lesson. An internal report starts two clocks: the investigation clock and the disclosure-decision clock. Stopping the conduct is remediation. It is not a substitute for a documented, timely decision about disclosure.

Scoular later received cooperation and remediation credit, including a 25 percent reduction from the bottom of the applicable Sentencing Guidelines range. That outcome demonstrates that missing voluntary-disclosure credit does not make later cooperation irrelevant. It also demonstrates that the two forms of credit are not interchangeable.

c.     Executive Signatures Became the Final Control

The DPA’s attachments translated compliance expectations into personal executive responsibility. They required compliance access to the board, adequate authority and resources, incentives and discipline, third-party business-rationale documentation, verification of services, reasonable compensation, data access, root-cause analysis, and remediation.

They also required two distinct certifications. The CEO and CFO must certify disclosure obligations. The CEO and Chief Legal Officer must certify the truth and completeness of DOJ reports and the design of the anti-corruption compliance program. The certification language references potential exposure under 18 U.S.C. §§ 1001 and 1519 for materially false statements or records.

The signature is therefore not ceremonial. It requires an evidence chain from front-line controls through management testing to board oversight.

d.    Data Analytics Connects Both Series

Vince Walden’s analysis supplied the final detection lesson. No single anomaly proves bribery. The stronger signal is a sequence: an adverse inspection, an unusual recurring broker payment, and a favorable shipment release.

The words “reinspection fee” were searchable. The approximately $2,000 round-dollar amount was testable. The brokers, routes, inspection outcomes, timing, and releases were linkable. Communications could then provide context. Analytics should rank anomalies for human investigation, not declare guilt by algorithm.

This is where internal controls become dynamic. The company should test transaction text, payment amounts, vendor concentration, duplicate descriptions, approval patterns, inspection results, clearance timing, and user access together. Every substantiated alert should improve the next rule, risk model, training decision, and control test.

e.     Compliance Takeaways

  1. Treat the process as the risk unit. Review the third party, payment, message, inspection, route, approval, accounting entry, and business outcome together.
  2. Test substance, not labels. Require evidence of the service performed, the lawful basis for the fee, the recipient, the calculation, and the official result.
  3. Expand third-party risk beyond corruption screening. Integrate organized-crime, sanctions, anti-money-laundering, trade, security, and supply-chain intelligence where the risk profile requires it.
  4. Govern communications as business records. Know which channels employees use, restrict substantive approvals to controlled systems, preserve records, and test retrieval before an investigation.
  5. Create a disclosure decision protocol. Define who evaluates material facts, what information is needed, when senior management and the board are briefed, and how the decision is documented.
  6. Use analytics to connect events. Build monitoring around sequences and outcomes, then route alerts to trained investigators with access to operational, financial, and communications data.
  7. Make certifications evidence-based. Executive signers and boards should demand documented control testing, root-cause analysis, remediation status, and unresolved exceptions before signing.

The final lesson from Scoular Company is that bribery rarely sits in one control. It moves through an operating system. An effective compliance program must see that system, test it continuously, and ensure that the people who oversee it can stand behind the evidence.

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Blog

The Scoular DPA Part 3: The Data Was Talking – Data Analytics and the Scoular Bribery Scheme

The Scoular Company bribery scheme was hidden, but it was not invisible. For six years, customs brokers paid Mexican officials approximately $2,000 per train so Scoular Company shipments could cross the border despite adverse inspections. The brokers invoiced the payments back to Scoular as “reinspection fees.” In total, Scoular Company admitted that it authorized $414,351 in bribes and avoided approximately $6.5 million in fees and costs. Those facts describe an FCPA violation. They also describe a data pattern.

I had the opportunity to visit with Vince Walden, CEO of KonaAI, about the Scoular Company FCPA enforcement action from a data analytics perspective. He identified the feature that should command every CCO’s attention: people concealing misconduct often record it consistently. They may avoid the word “bribe,” but they still need a repeatable description that allows the payment to be processed, reconciled, and found again. At Scoular Company, that description was “reinspection fee.”

Walden’s observation goes to the heart of modern compliance. Illegal conduct may be concealed from the compliance department while remaining visible in accounts payable, journal entries, invoices, purchase orders, shipment records, and communications. The control failure occurs when those systems hold the evidence, but the company never asks the data the right questions.

Consistency Can Become the Fraudster’s Fingerprint

Walden observed that accountants value consistency because consistent classifications support accurate reporting. Fraudsters and their enablers can exploit the same discipline. A bookkeeper cannot label a payment “bribe expense.” The payment still needs a code, description, vendor, amount, approver, account, and business purpose. If the scheme continues, the participants need a method they can repeat. That repetition creates a fingerprint.

Suspicious terms in payment descriptions and journal entries are among the most useful anti-corruption monitoring tests. His examples included phrases such as “friend fee,” “government payment,” and “miscellaneous.” The precise word will vary by company and geography. The analytical principle does not.

The company should identify unusual language, then connect it to the transaction behind it. Even if the language is not unusual, its repeated use might form a pattern worth exploring. A word cloud may provide a useful visual starting point. Keyword searches, natural-language processing, and risk dictionaries can scale the review across thousands of invoices and expense reports. Yet the purpose is not to find one forbidden word. It is to identify language that is unusual for the business, unusually frequent for one vendor, or correlated with a high-risk outcome. “Reinspection fee” was facially plausible. Repetition changed its meaning.

The First Test Was Hiding in Plain Sight

An elementary analytic (As in Elementary, my dear Watson) would have grouped customs-related payments by invoice description, vendor, amount, port, and frequency. That test could have asked:

  • How often does “reinspection fee” appear?
  • Which brokers submit the charge?
  • Is the amount repeatedly near $2,000?
  • Which employees approve it?
  • Does it appear only on trains with an inspection problem?
  • What happens to the shipment immediately after payment?

No single answer proves bribery. Together, the answers can create a compelling reason to investigate. The recurring round-dollar amount matters. Legitimate inspection costs often vary with the service, product, weight, time, port, or government fee schedule. A repeated $2,000 charge across multiple transactions may indicate a fixed unofficial tariff rather than the cost of a legitimate service.

The description also matters. If “reinspection fee” was not found in an approved government schedule, lacked official documentation, or appeared only in broker invoices rather than government receipts, the control should have required escalation before payment. Finally, the outcome matters most. If trains that failed inspection were consistently released after the fee, the company had more than an accounting anomaly. It had a payment linked to a favorable exercise of government discretion.

Connect the Payment to the Business Outcome

Traditional controls often examine whether an invoice matches a purchase order and whether an authorized employee approved it. A bribery scheme can satisfy both tests when employees are participating in the misconduct.

Data analytics must therefore test commercial substance, not merely procedural completion.

For Scoular Company, the decisive data model would connect five sources:

  • Inspection data: date, result, impurity identified, inspector, agency, and reinspection history.
  • Shipment data: train identifier, product, port, broker, delay, release time, and disposition.
  • Payment data: invoice description, amount, general-ledger account, supporting documents, approver, and payment date.
  • Third-party data: broker risk rating, contract terms, bank account, audit rights, ownership, and compensation history.
  • Communications data: relevant emails, WhatsApp records lawfully available to the company, and other business messages.

With those sources joined, compliance could test whether a $2,000 broker charge followed an adverse inspection and then by rapid release of the train. It could compare release rates for shipments with and without the payment. It could identify which brokers, ports, and employees produced unusually favorable clearance outcomes. That sequence is the analytic signature of the scheme: failed inspection, unusual payment, successful release.

Build a Layered Anti-Bribery Analytics Program

A mature program should not depend on one keyword or one dashboard. It should use several complementary tests.

Text analytics. Search invoice narratives, journal entries, purchase orders, and expense descriptions for high-risk terms, euphemisms, spelling variants, and unusual phrases. The risk dictionary should reflect the company’s markets and evolve with investigations.

Transaction analytics. Flag recurring round-dollar payments, duplicate or near-duplicate invoices, payments just below approval thresholds, split payments, weekend postings, manual journal entries, and charges lacking official receipts.

Vendor analytics. Compare customs brokers by fee frequency, payment descriptions, clearance rate, failed-inspection rate, use of subcontractors, changes in bank accounts, and concentration under particular employees or business units.

Outcome analytics. Test whether payments are statistically associated with permits, inspections, releases, tax outcomes, contract awards, or other favorable government actions. This moves the review from what the invoice says to what the payment accomplished.

Sequence analytics. Measure the time between an adverse event, a payment request, approval, payment, and favorable resolution. Short, repeated intervals can reveal a designed process.

Communications analytics. Where lawful and consistent with company policy, match high-risk transactions to messages about urgency, guarantees, officials, inspections, exceptions, or payments. A suspicious invoice can corroborate a message, and a message can explain the invoice.

Network analytics. Map relationships among employees, brokers, bank accounts, ports, approvers, and government touchpoints. Shared bank accounts, common addresses, unusual subcontractors, or recurring approval chains can expose concealed connections.

These tests should create ranked alerts, not automated accusations. Analytics identifies anomalies. Trained reviewers determine whether the transaction has a legitimate explanation, requires more evidence, or warrants an investigation.

Continuous Monitoring Is a Governance Choice

Walden’s closing advice was simple: keep innovating and keep running the analytics. The word “running” matters. As in continuously. A one-time review performed after a subpoena is forensic reconstruction. A risk-based test operating monthly, weekly, or at the point of payment is a compliance control.

Continuous monitoring does not mean surveillance of every employee or review of every transaction. It means that known high-risk processes receive repeatable testing at a frequency aligned with the risk. Customs payments, government-facing third parties, failed inspections, and manual financial entries deserve more attention than ordinary low-risk purchases.

The program also needs governance. Compliance and internal audit should agree on data ownership, alert thresholds, reviewer responsibilities, escalation standards, documentation, privacy requirements, and feedback loops. Finance must help validate legitimate payment patterns. The business must explain operational outcomes. Technology must maintain data quality and access. Legal must ensure that communications monitoring is lawful.

Most importantly, the board should ask whether compliance has direct access to the data. A dashboard built from incomplete information can create false assurance. If broker invoices sit in one system, inspection results in another, shipment releases in a third, and WhatsApp messages outside company retention, the organization sees fragments while the scheme operates across the seams.

Internal Controls Must Learn From Every Alert

Data analytics is not a substitute for internal controls. They supplement each other, as data analytics is a way to test whether those controls work and where they fail. An alert concerning a reinspection fee should trigger questions about official documentation, approved fee schedules, broker contracts, audit rights, segregation of duties, approval thresholds, and the economic rationale for the charge. If the review confirms misconduct, root-cause analysis should determine why the payment passed through accounts payable, why the broker remained active, why inspections and payment data were not connected, and whether incentives rewarded shipment clearance over compliance.

Every closed alert should improve the system. Confirmed concerns should add new keywords, vendor attributes, transaction patterns, and outcome measures. Legitimate transactions should help refine thresholds and reduce noise. This is how a compliance program becomes adaptive rather than static.

Questions for CCOs

CCOs should ask:

  • Which payment descriptions recur in our highest-risk government-facing processes?
  • Can we connect invoices to inspections, permits, customs outcomes, and shipment releases?
  • Which third parties generate unusually favorable results after unusual payments?
  • Are alert reviewers trained to investigate commercial substance, not merely paperwork?
  • How quickly does a confirmed issue change our controls and analytics?

The Bottom Line

Scoular Company’s bribery scheme did not require a sophisticated algorithm to detect. It required the company to notice a repeated phrase, a recurring amount, a high-risk broker, an adverse inspection, and a favorable government outcome. Walden’s lesson is that concealment often creates consistency, and consistency creates data. The task of compliance is to convert that data into a question early enough to matter.

Follow the words. Test the amount. Connect the outcome. Then channel your inner Sherlock Holmes and investigate what the pattern is telling you.

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FCPA Compliance Report

FCPA Compliance Report: Vince Walden on AI, Digital Assistants, and ROI at Compliance Week 2026

In this episode, Tom Fox welcomes Vince Walden, President of konaAI, to discuss his two panels at Compliance Week 2026 and the state of AI in compliance.

For the panel on AI and the compliance workforce, Vince argues jobs are generally safe because AI is best deployed as “digital assistants” (not digital employees) that handle repetitive tasks like data pulls and third-party due diligence, while keeping the “expert in the loop,” and he plans to show real use-case examples. For the ROI panel, Vince and co-panelists will discuss measuring impact through productivity gains, cost savings, faster turnaround for due diligence, and expanded compliance capabilities such as culture assessments, training, and transaction monitoring. Vince also links AI analytics to detecting fraud, waste, and abuse, citing a potential $35 million vendor abuse recovery, and explains why Compliance Week remains a top conference for regulator and peer benchmarking.

Key highlights:

  • AI Workforce
  • Digital Assistants in Action
  • Measuring Compliance ROI
  • Fraud Waste Abuse
  • Affordable Analytics Wins
  • Why Attend Compliance Week

Resources:

Vince Walden on LinkedIn

konaAI

Compliance Week 2026, click here for information and Registration

Listeners to this podcast receive a 20% discount on the event. Use the Registration Code TOMFOX 20

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

To learn about the intersection of Sherlock Holmes and the modern compliance professional, check out my latest book, The Game is Afoot-What Sherlock Holmes Teaches About Risk, Ethics and Investigations on Amazon.com.

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ACI FCPA Conference 2025

ACI Post Conference Reflections: Vince Walden on AI and Data Analytics in Anti-Corruption Compliance

By special arrangement with ACI, I was able to record several participants, speakers, panelists, and moderators from the recently concluded ACI FCPA and Global Anti-Corruption Conference held at the Gaylord near Washington, DC. This podcast details the guest’s experience at the event. In the first of our series, I visit with Vince Walden, President of konaAI, a Covasant company.

Walden provides a detailed recap of the pre-conference workshop, which was focused on AI and Data Analytics for anti-corruption compliance. Key sessions discussed include best practices for data collection and cleansing, the journey of AI implementation, and leveraging machine learning for compliance. Walden highlights the importance of viewing data analytics as a continuous business process rather than a project and wraps up with discussions on AI governance and ethical use. The episode concludes with Walden sharing his experiences and reflections on the successful event.

Key highlights:

  • Keynote Speakers and Highlights
  • Data Integrity and Validation
  • AI Implementation Journeys
  • Crash and Learn: Lessons from Failures
  • Advanced AI Techniques and Tools
  • Generative AI and Practical Demonstrations
  • AI Governance and Ethical Use
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ACI FCPA Conference 2025

ACI-FCPA Conference Speaker Preview Series – Vince Walden on the Cutting Edge Use of Agentic AI for Compliance

In this episode of the ACI-FCPA and Global Anti-Corruption Conference Speaker Podcasts series, Vince Walden discusses his presentation at ACI’s Forum on AI and Data Analytics for Anti-Corruption Compliance, which will be held on Tuesday, December 2.

Some of the issues the panel will discuss are:

  • Agentic AI strategies for compliance;
  • The increased importance of data analytics in fraud prevention.
  • Cutting-edge AI strategies into 2026 and beyond.

I hope you can join me at the ACI–FCPA Conference. This year’s event will take place on December 3-4 at the Gaylord National Resort & Convention Center in National Harbor, Maryland, near Washington, D.C. The lineup of this year’s event is simply first-rate, featuring some of the top FCPA professionals, white-collar attorneys, and compliance practitioners in the field.

The 2025 program is being completely redesigned to help your organization stay agile, responsive, and ahead of the curve. Expect a dynamic agenda shaped by real-world priorities, practical takeaways, and the most cutting-edge thinking in compliance—led by a faculty of global practitioners with boots on the ground, encountering the very risks that come across your desk.

Please join me at the event. For information on the event, click here. Listeners of this podcast will receive a discount by using the code D10-999-CPN26.

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FCPA Compliance Report

FCPA Compliance Report – Vince Walden on Leveraging AI and Machine Learning for Fraud Detection

Welcome to the award-winning FCPA Compliance Report, the longest-running podcast in compliance. In this episode, Tom Fox welcomes back Vince Walden, CEO of konaAI, a Covasant company.

In this podcast, they take a deep dive into the UK’s Failure to Prevent Reporting (FTPR) offense, particularly in the context of vendor interactions and employee-third-party relations. Walden advocates for the implementation of robust compliance and fraud risk management programs, leveraging AI and machine learning to detect high-risk transactions and enhance business efficiency. He also highlights the global relevance of regulations like the UK Economic Crime and Corporate Transparency Act, stressing the necessity of robust fraud prevention measures to ensure compliance in a rapidly evolving legal landscape.

Key highlights:

  • Addressing Various Fraud Offenses Under ECCTA
  • Effective Fraud Prevention Procedures for Compliance Programs
  • Enhancing Fraud Risk Analysis in Financial Processes
  • Enhancing Fraud Detection Through Risk Assessment

Resources:

Vince Walden on LinkedIn

konaAI, a Covasant company

Click here for konaAI White Paper Rethinking Compliance: Practical Steps for Adapting to the UK’s New Fraud Legislation

Tom Fox

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

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Data Driven Compliance

Data Driven Compliance – Understanding the ECCTA and Its Impact on Fraud Prevention with Vince Walden

Welcome to Season 2 of the award-winning Data Driven Compliance. In this new season, we will look at the new Failure to Prevent Fraud offense. Join host Tom Fox as we explore this new law and how to comply with it through the lens of data driven compliance. This podcast is sponsored by konaAI. In this episode of Season 2, Tom Fox is joined by Vince Walden, CEO of konaAI.

In this episode, they take a deep dive into the details of the UK Economic Corporate Crime Transparency Act, specifically the ‘Failure to Prevent Fraud’ offense. Walden, bringing the perspective of a fraud examiner and CPA, discusses the types of fraud covered under the new law and its broad scope, affecting not just UK companies but also US subsidiaries of UK companies. Walden emphasizes the importance of fraud prevention compliance programs and outlines how effective data analytics and risk assessments can help companies prevent fraud. He also explores the integration of advanced technologies like AI in building robust fraud detection mechanisms. The conversation highlights that effective compliance leads to better business processes and profitability.

Key highlights:

  • Understanding Fraud Offenses Under the Act
  • The Broad Scope of the Act
  • Importance of Compliance Programs
  • Data Analytics in Fraud Risk Management
  • Future of Fraud Detection with AI

Resources:

Vince Walden on LinkedIn

konaAI, a Covasant company

Click here for konaAI White Paper Rethinking Compliance: Practical Steps for Adapting to the UK’s New Fraud Legislation

Connect with Tom Fox on LinkedIn

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#RiskNYC Speaker Series

#Risk New York Speaker Series – Supercharging Compliance with AI with Vince Walden

Join Tom Fox and hundreds of other GRC professionals in the city that never sleeps, New York City, on July 9 & 10 for one of the top conferences around, #Risk New York. The current US landscape, shaped by evolving policies, rapid advancements in AI, and shifting global dynamics, demands adaptive strategies and cross-functional collaboration.

At #RISK New York, you will master the New Regulatory Reality by getting ahead of US regulatory shifts and their impact. Conquer AI and Tech Risk by Safeguarding Your Organization in an AI-Driven World and Understanding the Implications of Major Tech Investments. Navigate Financial and Crypto Volatility by Protecting Your Assets and Exploring Solutions in a Dynamic Market. Strengthen Your GRC Framework by Leveraging Governance, Risk, and Compliance for Strategic Advantage. Protect Digital Trust by addressing challenges in cybersecurity and data privacy, and combating misinformation. All while meeting with the country’s top #Risk management professionals.

In this episode of the Risk GRC speaker series, Tom Fox talks with Vince Walden, CEO of Kona AI, about his career in compliance, fraud, and risk management. Vince discusses his passion for data analytics and details the development of a new Compliance and Transaction Monitoring platform. They explore the use of AI, particularly predictive modeling and compliance language models, to enhance risk management. Vince also shares his excitement about the recent acquisition of his company by Covasant and the future of AI-driven compliance technology. The discussion ends with anticipation for the upcoming Risk NYC conference, where Vince looks forward to networking and exchanging insights on current risk challenges.

Resources:

#Risk Conference Series

#RiskNYC—Tickets and Information

Vince Walden on LinkedIn

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Innovation in Compliance

Innovation in Compliance: Real-Time Fraud Prevention Strategies for Financial Loss Prevention with Vince Walden

Innovation is present in many areas, and compliance professionals must not only be prepared for it but also actively embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovative minds, thinkers, and creators in the award-winning Innovation in Compliance podcast. In this episode, Tom Fox cross-posts an episode from the BCG Podcast, where host Hanjo Siebert visits with KonaAI CEO Vince Walden.

Walden is a prominent advocate for interdepartmental collaboration, particularly in the realm of compliance and fraud risk management. With his company specializing in AI-driven compliance solutions across diverse industries, Walden emphasizes the importance of breaking down data silos to promote transparency and improve communication among internal auditors, compliance teams, and IT departments. He views collaboration as a strategic imperative driven by data and governance, emphasizing that data should be the ultimate equalizer, thereby promoting a culture of collaboration that effectively achieves organizational goals. By leveraging shared data sources and advanced technology, Walden believes organizations can enhance their oversight, detect potential fraud, and address data privacy issues, ultimately improving their ability to prevent financial losses and maintain regulatory compliance.

Key highlights:

  • Breaking Down Data Silos for Collaboration
  • Enhancing Collaboration Through Data Transparency and Technology
  • Unified Data Approach for Enhanced Fraud Prevention
  • Advanced Fraud Detection with Machine Learning
  • Proactive Monitoring for Financial Security

Resources:

Vince Walden on LinkedIn

KonaAI

Original Podcast Recording

Tom Fox

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 Innovation in Compliance was recently honored as the number 4 podcast in Risk Management by 1,000,000 Podcasts.