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Businesses are increasingly turning to artificial intelligence (AI) as a tool for innovation and growth. A recent Gartner survey found that 44% of companies are now using AI in some capacity, up from 37% last year. But with this growth comes responsibility. Without proper oversight, businesses risk mismanaging the use of AI tools, potentially leading to ethical concerns and regulatory issues. Strong AI governance is no longer optional but an essential consideration for any business looking to thrive in the AI era. The use of AI brings new challenges for risk managers Risk managers face numerous challenges in managing and governing AI technologies. One of the biggest hurdles is the absence of centralized AI oversight. With AI systems deployed across various departments, the task of tracking AI assets and ensuring cohesive management becomes a formidable obstacle. This fragmentation can lead to unmanaged deployments, escalating the risk of ethical lapses and regulatory non-compliance, fines, and penalties. New AI regulations will have a substantial impact on how organizations use AI. Navigating the intricate requirements of the European Union (EU) AI Act and other regulatory frameworks can be daunting. Risk managers must continuously update policies and controls to adhere to evolving standards, which can be resource intensive and prone to errors.  Identifying, assessing, and mitigating risks, including biases in AI models, is critical to avoid legal and reputational damage. However, risk management programs tend to lack the necessary tools and expertise to conduct thorough risk assessments and audits, leaving them vulnerable to unintended consequences of AI usage.  Transparency and explainability of AI processes are crucial yet challenging to achieve. Stakeholders often struggle to understand and trust AI decision making due to the opaque nature of many AI models. Without clear explanations, gaining stakeholder buy in and ensuring accountability becomes difficult.  Furthermore, data governance is a critical area where many organizations falter. Ensuring data quality, integrity, and security throughout the AI lifecycle is essential. Maintaining high standards and complying with data protection regulations requires robust governance practices that many organizations find challenging to implement effectively.  What is AI Governance? The purpose of AI governance is to avoid and mitigate potential harm and build trustworthy AI systems that serve the interests of your customers, employees, community, and society. AI governance is a framework of policies, processes, and controls designed to ensure that AI systems are developed, deployed, and used ethically, responsibly, and in compliance with legal and societal norms.   When AI systems are employed to make decisions affecting individuals, there is a risk of unintended harm to customers, employees, communities, or broader society. AI governance must consider the potential risks and impacts at every stage of the AI lifecycle.   Trustworthy AI has varied definitions based on perspective, yet most converge on a set of core principles:   The European Union (EU) AI Act defines trustworthy AI as being "legally compliant, technically robust, and ethically sound." The National Institute of Standards and Technology (NIST) outlines characteristics of trustworthy AI in its AI Risk Management Framework (AI RMF), including valid and reliable, safe and secure, accountable, transparent, explainable, privacy-enhanced, and fair with regard to managing harmful bias. Five questions to ask your risk management team to evaluate your AI readiness How do you manage and track all AI assets across your business? What steps have you taken to ensure compliance with the EU AI Act? How do you assess and mitigate risk and biases in your AI models? How transparent are your AI decision-making processes to stakeholders, and what tools do you use to ensure explainability?  How scalable are your AI Governance practices to ensure compliance with new and changing AI Governance regulations? The answer to these questions is not a simple yes or no.  They require a thoughtful and thorough evaluation of the AI initiatives in use and the policies and processes in place to govern them. This evaluation should involve collaboration between risk managers, IT leaders, data scientists, and other key stakeholders to ensure a holistic understanding of AI usage across the organization. 83% of business leaders believe they need to adopt AI governance frameworks to ensure ethical AI usage and reduce bias. World Economic Forum May 2024 By regularly evaluating and adapting AI governance practices, the risk management function can anticipate potential risks and stay ahead of regulatory changes. Employing a robust AI Governance program also demonstrates a commitment to stakeholders and promotes trust in the organization's use of AI technologies. Introducing Archer AI Governance Archer AI Governance  empowers risk managers to tackle these challenges and ensure responsible AI use throughout the organization. Aligned with the stringent requirements of the EU AI Act, Archer AI Governance provides a robust suite of features that help to manage AI risks effectively, maintain compliance, and promote ethical AI practices.  Interested in learning how Archer AI Governance can help your organization effectively manage AI usage risks?  Archer clients and partners are invited to join us on October 4 for a Free Friday Tech Huddle .

For many organizations, third-party risk management remains a compliance-driven function—an exercise in checking boxes to satisfy regulatory requirements. While compliance is crucial, this narrow focus can leave significant value untapped, making third-party risk management reactive rather than proactive in anticipating and mitigating risks. This reactive stance can lead to blind spots in supply chain vulnerabilities, emerging risks, and missed opportunities for competitive advantage. When third-party risk management is limited to compliance, valuable insights that could enhance decision-making and operational resilience are overlooked. For example, supplier assessments that focus solely on financial stability and cybersecurity may miss broader risks, such as geopolitical instability, climate-related disruptions, or ethical sourcing concerns. These hidden risks can escalate quickly, affecting business continuity, brand reputation, and regulatory standing.  Leveraging third-party risk management for strategic growth   To unlock the full potential of third-party risk management, organizations must shift from a compliance-first mindset to a holistic approach that integrates third-party risk management into broader enterprise risk management (ERM). This means viewing third-party relationships as more than just potential liabilities but also as sources of innovation, efficiency, and competitive differentiation.  By integrating third-party risk management data with business strategy, organizations can make informed decisions about supplier partnerships, expand into new markets, and prioritize investments. For example, an organization tracking ESG performance across its supply chain can identify partners aligned with its sustainability goals, reducing long-term regulatory and reputational risks.  Transforming third-party risk management data into actionable insights   The key to maximizing third-party risk management’s value lies in turning risk data into strategic intelligence. Most organizations already collect vast amounts of data on their vendors, but few leverage it beyond risk scoring and compliance reporting. Advanced analytics and AI-driven tools can help transform this data into actionable insights that drive resilience and growth.  Proactively using third-party risk management intelligence not only mitigates risk but also creates opportunities, whether by identifying emerging markets, streamlining operations, or fostering innovation through stronger third-party collaborations.  To move from a compliance function to a strategic enabler, organizations can take several key steps:  Integrate third-party risk management with ERM  by establishing direct links between third-party risk management insights and broader enterprise risk discussions to ensure alignment with business objectives.  Leverage technology , such as AI and automation, to enhance risk assessments, monitor real-time third-party risks, and generate predictive insights.  Expand risk metrics  to include financial, cybersecurity, operational resilience, reputational, and climate risks.  Strengthen cross-functional collaboration  by engaging stakeholders across finance, procurement, IT, and legal teams to ensure a comprehensive risk management approach.  A well-executed third-party risk management strategy does more than mitigate risk—it becomes a driver of long-term business resilience and competitive advantage. By expanding beyond compliance, organizations can transform third-party relationships into a powerful asset for sustainable growth.  Watch the webcast " From Compliance to Confidence: Elevating the Strategic Impact of Third-Party Risk Management "  with Shared Assessments to discover how you can go beyond reporting and compliance to unlock the full strategic value of your TPRM program.

The Corporate Sustainability Reporting Directive (CSRD) is reshaping how organizations report on sustainability, and the pressure is on. The new reporting requirements are complex, resource-intensive, and unclear for many organizations, especially large corporations and banks. But with the right approach, CSRD compliance can become more than just a checkbox, it can be a driver of long-term value. Defining CSRD Challenges As the CSRD regulation rolls out, organizations are faced with the challenge of navigating the complexity of sustainability reporting. This includes conducting double materiali ty assessments and understanding the multifaceted impacts of operations on society and the environment, as well as how external sustainability factors affect the business. With the sheer volume of data that must be gathered from different departments, subsidiaries, and supply chains, structured, consistent, and auditable data management adds an additional layer of difficulty. Without the right tools, companies often find it challenging to identify the necessary specific data points and ensure the accuracy and reliability of the information reported. Organizations, particularly those without established processes for sustainability data collection, are left unsure about where to begin and how to manage the ongoing reporting burden effectively. Streamlining CSRD Compliance CSRD presents a clear challenge to organizations. There is a need to capture vast amounts of data and to create accurate, consistent reports that meet stringent standards. Collecting this data manually and assessing sustainability impact, risks, and opportunities (IROs) can be overwhelming. For many companies, relying solely on manual resources for CSRD reporting can be costly and unsustainable, especially since reporting is required annually. That’s where Archer ESG Management comes in by delivering a comprehensive, automated solution that helps navigate CSRD compliance through a consistent, effective approach to risk management. Archer ESG Management provides a comprehensive, end-to-end process for tackling the complex requirements for CSRD. With Archer, organizations can: 1. Conduct double materiality assessments Double materiality assessments are a key component of CSRD compliance. The Archer Double Materiality Calculator (DMC) use case simplifies this process by providing guidance through a structured workflow. This tool enables businesses to evaluate both the impact of ESG factors on their operations and the impact their business has on the environment and society.  The latest enhancements to Archer DMC ensure that companies stay aligned with regulatory guidance, making the entire assessment more efficient and actionable. 2. Efficiently collect and report metrics Once material topics are identified, organizations must collect relevant metrics and disclosures. Archer ESG Management provides over 1,400 pre-populated CSRD metrics, allowing for direct collection within the Archer platform or the Archer Engage solution. This reduces the complexity of data gathering and ensures compliance with specific requirements of the regulation. 3. Ensure audit-ready disclosures The Archer ESG Disclosure Management use case is pre-populated with over 1,300 disclosures that align with CSRD. By automating the reporting process, Archer makes it easier for companies to submit accurate, audit-ready disclosures, reducing the risk of errors and omissions. 4. Stay on track with end-to-end CSRD automation Archer ESG Management provides pre-built, automated workflows that guide sustainability managers through the entire CSRD compliance process. This comprehensive framework eliminates guesswork, ensuring the business can stay on track and meet reporting obligations efficiently.   The Time to Act on CSRD is Now CSRD compliance may seem daunting, but it presents a unique opportunity for organizations to align sustainability with risk management and long-term strategy. Archer ESG Management helps simplify compliance, enhance data accuracy, and ensure audit-ready reporting. By automating key processes and integrating risk management, Archer can help you meet regulatory requirements and efficiently manage sustainability risks and opportunities. To learn more about CSRD and what it means for your organization, download the eBook, CSRD Explained: What You Need to Know.

As the complexity of regulations grows and global oversight becomes increasingly stringent, businesses find themselves navigating a labyrinth of compliance demands. For compliance officers and risk managers, keeping track of these rapid changes while ensuring organizational adherence can be an overwhelming challenge. Enter regulatory intelligence.     This emerging field is revolutionizing how organizations handle compliance, providing tools that not only track regulatory changes but also integrate them seamlessly into business operations.     What is Regulatory Intelligence ?   Regulatory intelligence refers to systems and technologies designed to manage the vast and evolving landscape of regulations. At its core, regulatory intelligence helps businesses stay informed, make strategic decisions, and ensure compliance by:   Tracking regulatory changes : Keeping up with amendments and new legislation across different jurisdictions  Contextualizing regulations : Highlighting the relevance of specific regulations to an organization’s industry or operations  Implementing regulatory requirements : Mapping changes into internal processes to ensure compliance    This goes beyond simply monitoring regulations; it’s about offering actionable insights and creating scalable, automated compliance strategies.     Why is Regulatory Intelligence Essential Today?    Growing oversight, geopolitical upheavals, and stakeholder demands for operational transparency characterize today's business environment. Compliance teams face growing pressure to demonstrate the effectiveness of their strategies. Key challenges include addressing the volume and complexity of regulatory updates—from sustainability directives like the CSRD to cybersecurity mandates like the SEC Cyber Disclosure Rules.     Traditional methods of regulatory management, such as outsourcing to law firms or relying solely on in-house teams, can’t keep pace with this dynamic landscape. Regulatory intelligence tools fill this gap by enhancing efficiency, cutting costs, and improving compliance programs.     Top Use Cases for Regulatory Intelligence    Leading organizations are adopting regulatory intelligence systems across multiple business functions. Here are a few key applications:    Centralized oversight   Regulatory intelligence allows teams to consolidate regulations and build centralized repositories. This approach aids in operationalizing requirements systematically while creating an audit trail for risk management.     Automation    With AI and machine learning, regulatory intelligence tools automate tasks like data aggregation, regulatory impact assessments, and change alerts. For example, advanced platforms offer features like generative AI to interpret the implications of laws, allowing faster implementation of regulatory mandates.     Prioritization of risks    These tools enable businesses to focus on high-priority risk domains. Whether ensuring compliance with financial services regulations or cybersecurity laws, organizations can align their strategies with the most critical areas impacting their bottom line.    Cost efficiency    Companies are moving away from heavy dependency on costly external legal counsel by leveraging regulatory intelligence to manage compliance internally. This shift not only reduces legal overhead but also fosters a proactive, scalable compliance strategy.     Cross-functional collaboration    By integrating compliance processes with other functions, such as enterprise risk management (ERM) or audit, businesses can operate more cohesively. Regulatory intelligence ensures that teams work from the same rulebook, from legal to operations.     The Future of Compliance    The Gartner® Market Guide for Regulatory Intelligence Solutions estimates a 20.8% compound annual growth rate (CAGR) for the global regulatory technology market, which it expects to grow from $7.6 billion in 2021 to $19.5 billion by 2026. For businesses, this makes selecting the right tools essential.     Organizations must adopt a risk-based approach to build a robust compliance program, balancing in-house efforts with advanced tools. This ensures they are not only meeting regulatory demands but also enhancing operational efficiency and trust with stakeholders.     Learn More About Regulatory Intelligence    To explore the latest analysis and regulatory intelligence trends,  read the Gartner Market Guide for Regulatory Intelligence Solutions today , compliments of Archer for a limited time.      Gartner, Market Guide for Regulatory Intelligence Solutions, Lauren Kornutick ,  Lexi VerVelde , 15 October 2024   GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

In today's complex environment, audit functions must strike a balance by retaining autonomy while integrating with compliance and risk functions. This balance ensures that organizations follow policies, manage risk, and comply with regulatory requirements. Audit autonomy is critical to ensure objectivity, provide unbiased assessments, preserve the credibility of audit findings, and maintain trust with internal and external stakeholders. At the same time, integration with other business functions is essential to gain a holistic view of risks across the organization, monitor emerging risks, and anticipate risks to take proactive measures. Importance of Audit Autonomy Audit autonomy is critical for effective auditing and is essential to maintaining objectivity, credibility, and trust, which are crucial for the audit function's success. Autonomy ensures auditors can perform their responsibilities objectively without undue influence from any business functions they are auditing. This autonomy is essential for providing unbiased assessments of risk management, control, and governance processes. In addition, auditors can evaluate policies without pressure, leading to accurate and reliable findings. For an effective audit function, auditors must be trusted by stakeholders, including the board, senior management, and external regulators. Stakeholders who trust auditors' integrity and independence are likelier to act on audit recommendations and findings. This trust is foundational for fostering a culture of accountability and improvement in an organization. An independent audit function can detect issues, inefficiencies, and non-compliance. When auditors lack autonomy, they might be pressured to overlook or downplay negative findings. With autonomy, auditors can conduct investigations and report candid findings to ensure that issues are addressed and risks are mitigated before they escalate. Ensuring auditors can operate independently while maintaining the integrity and effectiveness of the audit process ensures organizations manage risks, improve compliance, and strengthen governance. Importance of Integration with Other Functions While audit autonomy is critical, integrating with risk and compliance functions is equally important. This integration enhances the audit process. Integration with other business functions allows auditors to have a comprehensive view of risks across the organization. When understanding an organization's risks, auditors can provide more proactive measures and strategic recommendations. With integration and better information sharing, auditors perform more efficient audits and more effective risk management. Integration enables auditors to access critical data and improve the quality of audit outcomes. Getting insights from visibility into other functions allows for better risk management by addressing issues before they escalate. Auditors help develop proactive strategies to mitigate risk instead of reactive management. Auditors can ensure that policies are enforced consistently across the organization, reducing the risk of non-compliance and helping avoid penalties. Integration with audit, risk, and compliance functions allows an organization to manage risks effectively, ensure compliance, and enhance operational efficiency. Maintaining autonomy while integrating audit functions with risk and compliance functions enhances the organization's ability to effectively identify, assess, and mitigate risks. By implementing these strategies, organizations can achieve a proactive approach to risk management, compliance, and governance, ensuring resilience and sustainability in today's business environment. This integration is critical for conducting effective audits that provide insights and recommendations to support decision-making and regulatory compliance. The Archer Solution With Archer Audit Management you have the flexibility to define your audit universe independently or by leveraging the controls defined in the rest of the system. Archer is uniquely positioned to allow for flexibility based on how your company operates. With the introduction of Audit Engagement Templates companies now have a faster way to go from zero to engagement. The new process reduces the dependencies on other departments all while allowing for integration where and when it is needed. Contact us  to learn more about how Archer Audit Management can give your audit teams autonomy without losing visibility into other functions for proactive and risk-based audits.

In today’s geopolitical environment, organizations must be more agile than ever in managing risk. This is especially true for defense companies that provide products or services for the government since political uncertainty creates ripple effects that can disrupt supply chains, contract negotiations, and long-term defense strategies. Policy shifts, regulatory changes, and evolving international alliances can dramatically impact global defense operations. Defense organizations that fail to monitor and adapt to these changes risk being blindsided by sudden market shifts, compliance challenges, and unforeseen exposures. Impact of political uncertainty on the defense industry Changing policies, fluctuating defense budgets, and shifting global priorities heighten risks for defense contractors, arms manufacturers, and cybersecurity firms. These uncertainties influence procurement strategies, regulatory requirements, and strategic defense initiatives, making comprehensive risk assessment and mitigation planning essential. Geopolitical tensions and evolving security alliances add further complexity. Defense companies operating in international markets must navigate procurement delays, shifting compliance standards, and new regulatory requirements. In such a dynamic environment, maintaining strategic agility is critical. The ability to anticipate and respond to policy shifts is essential for sustaining operations and securing long-term contracts. Defense companies must proactively evaluate risk exposures and plan for multiple scenarios to stay ahead. This requires real-time data, predictive analytics, and scenario modeling—all key functionalities of a robust RMIS. Why modern RMIS Is essential for defense organizations A risk management strategy is only as effective as the tools that support it. There are several reasons why it is vital for defense companies to ensure their RMIS is optimized for today’s volatile world: 1. Real-time monitoring and risk alerts Political events and policy changes unfold rapidly, and delayed responses can be costly. A modern RMIS should integrate with global intelligence sources, policy updates, and financial indicators to provide real-time alerts on critical developments. By linking these insights to their claims and risk profile, defense companies can shift from reactive to proactive risk management. 2. Scenario planning for policy & funding changes With uncertainty surrounding defense budgets and shifting national security priorities, companies supplying military equipment, cybersecurity solutions, and defense technologies must be able to model different risk scenarios. A fully integrated RMIS connected to a robust GRC solution enables an organization to simulate the potential impact of policy shifts on operations, insurance costs, and supply chains. 3. Regulatory compliance and adaptation New sanctions, export controls, and evolving compliance requirements make regulatory alignment a moving target. An up-to-date RMIS equipped with AI-powered compliance tools automates regulatory tracking and ensures adherence across multiple jurisdictions, reducing the risk of non-compliance. 4. Centralized data for informed decision-making Managing risk data — from geopolitical threats to cyber risk — requires a single source of truth for enterprise-wide visibility. A well-maintained RMIS, integrated with a strategic GRC framework, centralized this data, empowering leadership teams to make informed, strategic decisions in an unpredictable world. Future-proofing risk management in the defense industry Political uncertainty isn’t going away. Shifts in global alliances, evolving defense strategies, and economic volatility will continue to challenge defense organizations. The key isn’t just having a risk management system -- it’s ensuring it is continuously updated, powered by real-time insights, and capable of scenario planning for ever-changing conditions. Defense companies that invest in modern, data-driven RMIS will thrive in uncertain times.Interested in learning more? Read the whitepaper “ Next-Generation RMIS: Revolutionizing Risk Management ” Visit Archer in Booth #1375 at RISKWORLD, May 3-5, to see how Archer RMIS AI can help you improve your risk management strategy. Register now.

In today’s fast-paced digital environment, companies are under immense pressure to maintain compliance and manage risk effectively under tight budgets. Governance, Risk, and Compliance (GRC) software has become an indispensable tool in achieving these objectives, and Archer provides world-class solutions. Many organizations are finding that their legacy on-premises GRC systems are not sufficient to meet their needs. Transitioning to a leading-edge SaaS solution like Archer is critical and here’s why: 1.      Scalability and Flexibility. On-prem systems are often rigid and expensive to scale. Companies experiencing growth or navigating complex regulatory landscapes can quickly outgrow their existing infrastructure. SaaS solutions, on the other hand, are inherently scalable. 2.      Cost Efficiency. The total cost of ownership for on-prem GRC systems is often underestimated. These systems can require significant upfront investments in hardware, software licenses, and IT personnel for maintenance. SaaS solutions are subscription-based, spreading costs over time and eliminating the need for costly infrastructure and ongoing maintenance. This shift from capital expense (CapEx) to operating expense (OpEx) provides financial flexibility and predictable budgeting. 3.      Rapid Deployment and Updates. Traditional on-prem systems often have lengthy implementation processes, delaying time-to-value. SaaS solutions can be deployed much faster, enabling businesses to start leveraging their benefits almost immediately. 4.      Improved Collaboration and Accessibility. Modern businesses operate in increasingly distributed environments. Remote work, global teams, and third-party collaborations demand tools that are accessible anytime, anywhere. Your GRC tool should be no different. 5.      Data Integration and Analytics. SaaS platforms are designed to integrate easily with other business tools, enabling organizations to create a unified view of risk and compliance. Advanced analytics and reporting capabilities help companies derive actionable insights, identify trends, and make informed decisions. 6.      AI-Powered Insights and Automation. The integration of artificial intelligence (AI) into SaaS GRC platforms is revolutionizing how organizations manage risk and compliance. For example, AI should monitor and respond to regulatory changes, associate regulatory intelligence to control implementations, establish controls aligned with business requirements, and integrate with audit and compliance processes. 7.      Enhanced User Experience. User experience (UX) is a critical factor in the adoption and effectiveness of any software solution. Modern SaaS GRC platforms should be designed with user-centric interfaces that simplify complex processes and reduce the learning curve for users. Intuitive dashboards, customizable workflows, and self-service options empower users to navigate with ease. By prioritizing UX, SaaS solutions increase user engagement, reduce errors, and drive greater productivity across the organization. Conclusion The pace of technological change is not slowing down and migrating from on-prem GRC software to a SaaS solution is no longer a question of “if” but “when.” The scalability, cost-efficiency, security, and adaptability of SaaS platforms position them as the optimal choice for forward-thinking organizations. By embracing this transition, companies not only enhance their risk and compliance capabilities but also drive agility and innovation in an increasingly complex business environment. To learn more about Archer Evolv, Archer’s premier SaaS offering, read the press release on www.ArcherIRM.com .

Is Your System Falling Short? Many organizations invest significantly in Risk Management Information Systems (RMIS), expecting meaningful improvements in how risk is identified, assessed, and managed. Yet too often, these systems fail to meet expectations. The issue typically is not the technology itself, but rather a lack of alignment with business needs, rushed implementation, or outdated approaches to risk. An effective RMIS should do more than store data. It should actively support strategic goals, enable smarter decision-making, and adapt as the organization evolves.   What Defines a Modern RMIS? Today’s risk environment demands more from technology. A modern RMIS must be flexible enough to accommodate shifting workflows, agile enough to integrate across departments and tools, and intelligent enough to generate actionable insights through analytics and artificial intelligence. Equally important is user experience. A platform should be intuitive and easy to use to encourage widespread adoption. The most successful systems are those that not only address current needs but also scale with the organization, supporting future goals and improving cross-functional collaboration.   A Smarter Path to Implementation The foundation for a successful RMIS begins well before implementation. It starts with clearly defining both functional and strategic objectives. This often requires organizations to reassess legacy processes, rather than simply digitizing them without question. By aligning the RMIS with broader business priorities early in the process, organizations can ensure the system is positioned to drive meaningful change, not just operational efficiency.     Avoiding Common Pitfalls Many RMIS projects fall short due to common missteps: Repeating outdated processes instead of designing more effective ones Focusing on technical capabilities over long-term outcomes Launching without a clear definition of success These challenges can result in costly delays, limited adoption, and missed opportunities to drive impact. Avoiding them requires deliberate planning, clear communication, and a willingness to challenge assumptions across teams. A key factor in overcoming these challenges is enabling collaboration. A modern RMIS should do more than manage data. It should function as a central platform that connects all stakeholders in the risk ecosystem, including insurers, brokers, third-party administrators, and internal teams. When everyone has access to shared data, timely updates, and a unified dashboard, the result is a more informed, efficient, and accountable approach to risk. The Future of Risk Management Ultimately, a successful RMIS is not just a piece of technology, it’s a foundational element of a forward-thinking risk strategy. With the right planning, alignment, and vision, it can become a dynamic asset that continually evolves with the organization. It empowers teams, strengthens partnerships, and turns data into a powerful strategic resource.   Learn more Discover how modern data strategies are revolutionizing RMIS and unlocking strategic value by transforming raw risk data into actionable intelligence. Join our webinar, “Advancing RMIS with an AI Data Strategy,” on July 8. Archer’s Ross Ellner, Managing Director of RMIS AI, and Jonathan Nichols, Director of RMIS AI Operations, will explain why legacy data models fall short and how to design a modern data architecture using AI and automation. Register now!

One thing is clear for compliance professionals: the days of predictable regulatory change are over. What we’re seeing now isn’t a temporary surge of complexity. It’s the new baseline. Organizations can no longer afford to treat regulatory change as something they manage quarterly. Events unfold rapidly, often with little advance notice, and regulators are responding in real time. The result? A constant need for organizations to reassess, recalibrate, and act.   A Moving Target for Global Compliance While global compliance has always required vigilance, today, vigilance isn’t enough. Political shifts, economic pressures, and global conflicts are combining in ways that disrupt even the most well-structured compliance strategies.   We’ve seen sanctions updated with minimal warning, trade policies reversed within weeks, and entire regulatory agencies reprioritize enforcement focus. Teams that were previously able to rely on stable patterns are now rethinking their entire approach. More than simply tracking changes, organizations need to quickly understand the impact of changing regulations and the action required to adapt appropriately.   AI Is a Tool, Not a Solution Artificial intelligence (AI) has become central to many compliance programs. It helps to process massive amounts of regulatory data, flag potential risks, and identify patterns that would be impossible to detect manually, but it’s not a magic fix. The effectiveness of AI for compliance depends entirely on how it’s implemented and governed. Without clear oversight, AI can introduce more risk than it solves, particularly in regard to model transparency, data provenance, and ethical use.   Leaders who are making progress and showing results from AI as an integral part of their compliance program aren’t rushing into adoption. They’re asking hard questions about where AI fits in, who is responsible for reviewing decisions, and how to align use relative to both internal policies and emerging external standards.   New Pressures, New Rules Economic volatility is currently a leading factor in regulatory activity. Inflation, supply chain disruption, and labor shortages are driving new rules, many of which are being rolled out quickly and without broad stakeholder input.   Unfortunately, these rules aren’t always coordinated, and that lack of coordination can have a cascading effect. A policy change in one jurisdiction may trigger compliance obligations in another. For multinational organizations, staying ahead requires not only monitoring new developments but understanding how those developments interact across regions.   What High-Performing Teams Are Doing Differently Beyond simply reacting more quickly, the best compliance teams are shifting how they work. They’ve built systems that support real-time tracking. They’ve created workflows that make it easy to document decisions and show regulators how they’ve responded to change. And they’ve integrated compliance into broader business conversations rather than treating it as an afterthought.   This shift isn’t about tools alone. It’s about mindset. Being proactive in today’s regulatory environment means building processes that can evolve. It means investing in platforms that don’t just collect information but connect it across teams. It also means giving compliance a seat at the strategy table, not just at the audit meeting.   Preparing for What Comes Next The pace of change may not slow down in 2025, but organizations that are best equipped to respond effectively will be those that combine technology with judgment, policy with practice, and speed with precision. While there is no single playbook for managing regulatory chaos, there are clear patterns among teams that are doing it well:   They stay close to the signals. They build flexibility into their systems. They treat compliance as a core business function, not just a requirement.   We built Archer   Evolv™ for Compliance to support exactly this kind of work. It’s designed to help teams track regulatory changes as they happen, manage assessments with less manual effort, and keep leadership informed with clear, reliable data.   If you’re rethinking your approach to compliance, we’d welcome the opportunity to show you how we can help:   Schedule a demo   to learn how Archer Evolv™  for Compliance can help you stay ready, regardless of what changes come next.   Register for the June 12 webinar with OCEG, “ From Chaos to Clarity: How AI is Reshaping Regulatory Intelligence ”

Today’s compliance and risk management environments are growing more complex. With increased regulatory demands, tighter operational expectations, and rising volumes of data, traditional methods often struggle to keep pace.    Artificial intelligence (AI) helps organizations meet these challenges by supporting compliance teams with faster, more accurate, and more proactive capabilities. Rather than replacing human expertise, AI enhances the value professionals bring by automating routine tasks and improving efficiencies.   Transforming Compliance with AI   AI enables a shift from reactive, manual compliance efforts to more proactive, strategic management. Bots can monitor policies, review contracts, flag anomalies, and suggest risk mitigation actions, all with human supervision. This allows your compliance management program to have improved efficiency, enhanced accuracy, reduced costs, and more effective decision-making.    Examples of AI’s impact include:  Real-time monitoring of regulatory changes  Early detection of fraud patterns in financial transactions  Streamlined audit preparation through automated data aggregation and analysis    Building Trust with Responsible AI   Successfully integrating AI into compliance programs requires strong governance. Regulatory frameworks such as the EU AI Act highlight the importance of transparency, explainability, and human oversight. Organizations must ensure that AI systems are auditable, correctable, and capable of always maintaining human control.    Resilient compliance operations also require fallback mechanisms. In the event of an AI system failure or disruption, organizations must be able to continue critical processes manually or with semi-automated alternatives. This approach preserves trust and ensures continuity.    Tailoring AI to Compliance Needs   Choosing the right AI technology is essential. Machine learning (ML) excels at structured data analysis, while generative AI (GenAI) is better suited for tasks involving unstructured content like regulations and corporate policies. The right combination depends on the specific compliance and risk management challenges each organization faces.  It is also important to balance performance and cost without becoming dependent on a single AI provider. Flexible architecture gives organizations more control and support long-term adaptability.   Keeping People at the Center    AI, despite its capabilities, should be considered a decision-support tool, not a decision-maker. Professional judgment remains critical in compliance and risk management, especially when navigating complex regulatory language, ethical considerations, and contextual nuances.    By combining advanced technology with strong governance and human expertise, compliance teams can build programs that are not only more efficient but also more resilient, reliable, and future-ready.    A Path Forward for Compliance & Risk Management   AI is quickly becoming an essential component of modern compliance and risk management programs. Organizations that invest in responsible AI applications today will be better prepared to meet regulatory expectations, manage risks more effectively, and respond quickly to change.    By pairing advanced technology with strong governance and human expertise, compliance teams can build programs that are not only more efficient but also more resilient and trustworthy.    Learn More About AI's Role in Modern Compliance   AI is reshaping how organizations approach compliance and risk management. To explore practical strategies, real-world use cases, and best practices for responsible AI adoption, download the whitepaper, “ AI for Compliance & Risk Management: Insights for Success .”

Risk managers have worked behind the scenes, renewing insurance, processing claims, and tracking exposure across spreadsheets for years. But the role is undergoing a major shift.   Driven by digital transformation, risk professionals are stepping out of the back office and into the boardroom, advising on strategy, resilience, and growth.  So, what’s behind this evolution? One word: technology.     Administrators to strategists   Gone are the days when risk managers were buried under mountains of paperwork and manual data entry. Modern risk management information systems (RMIS) and AI-powered platforms can automate administrative tasks like data entry, reporting, and renewals. That frees up risk managers to focus on what truly matters: interpreting trends, forecasting threats, and informing high-impact decisions. According to the 2023 Risk Survey Report by RIMS, 72% of risk professionals say their role has expanded into strategic planning and enterprise-wide decision-making .    Today’s risk managers are expected to be data-savvy, agile, and forward-thinking. They are no longer reacting to what has already happened, and they’re predicting what could happen next. Modern solutions like Archer RMIS AI give risk teams the power to work smarter and faster. With real-time dashboards, predictive analytics, and data feeds from sources like Moody’s and Kroll, risk managers can now:   See exposure patterns across global operations in real time.  Analyze claims trends to reduce losses.  Track insurer participation and optimize renewals.  Assess financial, reputational, and regulatory risks with a single platform.   Collaboration is the new currency    One of the most significant shifts in the risk management role is the move from isolated, function-specific tasks to enterprise-wide collaboration. Today’s risk managers are no longer working in silos. They’re embedded across the business, connecting teams through integrated technologies that span finance, procurement, operations, compliance, and beyond. Risk is becoming a common language across the organization, and modern RMIS platforms support this transformation by making insights accessible to stakeholders at every level. Whether it’s a CFO analyzing insurance allocation or a business unit leader tracking safety metrics, risk managers are now central to cross-functional decision-making.   The skills gap   The skill set for an effective risk manager goes well beyond insurance knowledge. They need skills in data fluency, digital acumen, and the ability to influence strategic decisions. This shift is creating both a challenge and an opportunity for risk teams :  to upskill, modernize their tools, and lead the charge in building resilient organizations that can thrive in uncertainty.   RIMS data shows that 48% of risk leaders plan to invest in upskilling their teams in AI , analytics, and digital tools over the next 12 months.       Technology is the catalyst, not the replacement    Technology is reshaping risk management, but it’s empowering rather than replacing the people behind it. With the right tools, risk managers can move beyond a reactive mindset and confidently step into their role as strategic advisors.   As we look ahead, one thing is clear: the future belongs to those who can combine deep risk expertise with the speed, precision, and insight of digital solutions. The game has changed, and risk managers are more essential than ever.      See what’s possible with a modern RMIS   Read the whitepaper “ Next-Generation RMIS: Revolutionizing Risk Management ”  Visit Archer in Booth #1375  at RISKWORLD, May 4-7 in Chicago, to see how Archer RMIS AI can help you improve your risk management strategy. Register now.   Visit Archer at Booth #48 at AIRMIC, June 9-11 in Liverpool. Register now.

In today's digital world, organizations are searching for integrated platforms that can address their governance, risk, and compliance (GRC) needs alongside other enterprise demands. However, it's important for buyers to carefully evaluate solution providers to ensure they bring specialized expertise to the table.  Rather than focusing on purpose-built GRC platforms, many GRC solution providers try to offer additional solutions that stray far from their core GRC competencies. While this approach may appear beneficial on the surface, it often results in diminished value for buyers due to diluted focus, increased complexity, and reduced reliability.   The Importance of GRC Specialization    GRC platforms play a pivotal role in helping organizations manage evolving regulatory demands, mitigate risks, and maintain compliance. When a GRC solution provider expands into unrelated domains, such as customer relationship management (CRM) or human resources (HR),  they risk losing the focus that makes them valuable . Buyers should be cautious of these risks, which include:   Lack of alignment:  While enterprise systems like GRC, CRM, and HR software may technically integrate, their user teams often have different goals and processes, undermining the value of the solution.   Unnecessary complexity:  Multiple solutions with unrelated features can overwhelm end-users, complicating risk management efforts and reducing overall efficiency.   Loss of expertise:  Specialization is vital in the highly regulated and complex GRC space. GRC solution providers branching into unrelated fields can erode their credibility among users who value focused expertise.    Advantages of a Purpose-Built GRC Platform    For compliance and risk management professionals, selecting a dedicated GRC solution provider and platform delivers significant advantages. The most effective solutions prioritize core GRC capabilities and offer:   Advanced automation and AI:  These tools streamline workflows and allow organizations to adapt to regulatory changes swiftly and effectively.   Centralized systems:  Specialized GRC solutions bring together risk, compliance, and audit processes into a cohesive platform that enhances decision-making and boosts operational efficiency.   Enhanced audit readiness:  Real-time tracking and reporting ensure your organization is always prepared to meet compliance requirements, reducing the burden of audits.   These concepts are echoed by Karta, one of Archer’s key partners, in their blog How a 'Do-it-All' Software Approach Can Spoil Your Risk & Compliance Programs .  They compare it to a chef trying to cook every cuisine on the planet at once—the result is a chaotic, flavorless mess that satisfies no one.  Karta states: "This is the danger of working with a software provider that tries to be everything to everyone and claims they can replace distinct, purpose-built tools and platforms in one grandiose offering. While seemingly comprehensive, these 'do-it-all' platforms often lack the depth and expertise needed to truly address the unique and complex challenges of distinct functions in modern organizations."   What True GRC Solution Providers and Solutions Mean for Buyers    When considering a GRC platform, buyers should prioritize solution providers who are dedicated to GRC and who draw on years of expertise to tackle the unique challenges found in compliance and risk management. For organizations looking to mitigate risks effectively and achieve long-term success, investing in specialized GRC platforms is essential. A strong GRC platform is the cornerstone of any successful risk management strategy. Without one, it’s infinitely harder to leverage common processes, share data and gain visibility into risks across your enterprise.   Download our white paper, 5 Things to Know When Researching Risk Management Platforms , and discover the key factors to consider when selecting a strong GRC platform.