We live in uncertain times marked by geopolitical tensions, economic disruption, regulatory change, and the rapid emergence of advanced technology. As a result, the compliance function has to evolve to keep pace with the developments in the macro environment. What are the top trends shaping the regulatory landscape today? And how can enterprises improve their compliance posture?
Michael Koenig, JBS's Global Chief Ethics and Compliance Officer, and I discussed the challenges of modern compliance management in a webinar titled “Decoding Global Compliance in 2025: Navigating the Complex Regulatory Landscape.” Here are the key takeaways from the discussion.
Watch the webinar now: https://info.metricstream.com/webinar/decoding-global-compliance-in-2025.html
85% of respondents in a PwC study feel that compliance requirements have grown increasingly complicated over the last 3 years. A challenging regulatory environment has resulted in escalating cost of compliance – an average of USD 1.9 billion annually. And the cost of non-compliance is even higher--hefty penalties, fines, and irreparable damage to stakeholder trust and reputation. Under these circumstances, organizations need to proactively monitor the environment for changes, and continuously improve their strategies to ensure there are no gaps. It is now a matter of strategy, and compliance officers must act as advisors rather than policy cops. They have a crucial role to play in building cross-functional partnerships to drive a culture of shared accountability.
At the moment, the world is trying to fully understand two key developments and assess their impact on business:
Tariffs and Their Compliance Implications
The FCPA Impact on Compliance
On the regulatory front, President Trump issued an executive order that put a temporary 180 day pause in the Foreign Corrupt Practices Act (FCPA). But this does not mean that American companies now have a free pass to do as they please for business benefits.
The disruption in the FCPA does not mean that organizations can simply forget about it. They must use this time to reevaluate their self-governance programs to ensure ethical and transparent practices.
Read my thoughts on the subject: The Pause in FCPA Enforcement – Why Self-Governance Matters Now More Than Ever
Keeping pace with rapidly changing laws and macroeconomic developments can be impossible to achieve without a robust technology foundation. Artificial Intelligence, in particular, can ensure real time monitoring and provide intelligent insights for better decision making. Understandably, it is quickly becoming a compliance priority. But AI cannot be integrated in isolation or in an ad hoc manner.
The emergence of agentic AI models can further improve compliance efficiency with their ability to work autonomously with humans in the loop. Organizations are already using AI to automate routine regulatory tasks. Some of the use cases of generative and agentic AI in regulatory change management are:
Policy Management
Compliance Risk Management
Agentic AI can significantly reduce operational pressures and free up compliance teams to focus on strategic priorities like stakeholder engagement, training, and culture building. But this is not to say that AI can completely replace the human element in compliance. The technology is a valuable tool for delivering intelligent insights across a range of functions quickly and accurately. But final decision-making power must rest in the hands of the humans using the technology.
Compliance has evolved from being a static and restrictive or preventive function to being a strategic, technology-powered, and continuous journey that keeps pace with a rapidly changing regulatory landscape. Modern compliance is also not relegated to one department alone; it extends to the entire organization and needs active involvement of cross-functional teams. And it must be deeply embedded in organizational culture - true compliance culture is when everyone does the right thing, even when nobody’s watching.
Watch the webinar recording for more insights:
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The compliance function is evolving from a policy enforcement role into a strategic advisory one, with compliance officers increasingly acting as cross-functional advisors who build partnerships across business units and drive a culture of shared accountability. This shift is driven by intensifying regulatory complexity, geopolitical volatility, and the rising cost of non-compliance across industries.
The Foreign Corrupt Practices Act pause creates a temporary window but does not eliminate underlying compliance obligations, as the Act has only been paused rather than repealed and the SEC retains enforcement authority. Organizations also remain subject to state-level laws and international equivalents such as the UK Bribery Act and EU Anti-Corruption Laws.
Tariffs introduce compliance risk by affecting international trade relationships, triggering potential counter-tariffs, and creating rapidly shifting rules that teams must continuously monitor. Multinational organizations must prepare for escalating geopolitical tensions and retaliatory measures that can disrupt operations across jurisdictions, each carrying its own compliance and risk management implications.
Responsible AI governance requires AI to be deeply integrated with business strategy and IT infrastructure, with centralized and standardized policies governing how AI tools are trained, deployed, and monitored. Without this, low-code and no-code AI tools risk creating shadow IT environments with uncontrolled security, ethical, and legal exposure.
Agentic AI can autonomously monitor regulatory change alerts, assess applicability and relevance, notify stakeholders, draft regulatory development records, perform impact analyses, and generate risk summaries. In policy management, it can alert stakeholders when laws change, draft policy templates, trigger review and approval workflows, and track employee training completion, with appropriate human oversight throughout.
AI can analyze large volumes of enterprise data to identify compliance gaps, monitor for anomalies in real time, predict where breaches are most likely to occur, and surface issues that manual processes would take weeks to detect. Agentic AI goes further, independently triggering assessments, calculating inherent and residual risk ratings, evaluating control effectiveness, and presenting ready-to-review steps to human approvers.
Modern compliance risks, including cyber exposure, trade compliance, and AI governance, cut across organizational boundaries that compliance officers working in isolation cannot address alone. Building cross-functional partnerships ensures compliance insights flow into decision-making at every level and that regulatory changes trigger coordinated responses across the organization.
While compliance carries a significant average annual organizational cost, the cost of non-compliance is substantially higher when factoring in regulatory penalties, legal fees, remediation costs, and reputational damage. This financial reality makes a strong case for investing in intelligent compliance tools that reduce manual effort, close monitoring gaps, and respond to regulatory change faster than traditional approaches.
Rather than treating the pause as permission to reduce anti-corruption activity, compliance officers should use the period to reevaluate and strengthen self-governance programs, reviewing the effectiveness of existing ethics and compliance controls and updating internal policies to reflect best practices. This ensures the organization is positioned to demonstrate good faith compliance once enforcement resumes.
Organizations need four core capabilities: real-time regulatory monitoring, automated impact analysis to understand which controls and policies are affected, agile policy update and dissemination workflows, and cross-functional governance structures that embed compliance accountability beyond the legal and compliance team. AI-enabled platforms that automate all four functions allow compliance teams to focus on strategy rather than administration.