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The Critical Need for Verification in AI-Driven Compliance

In the evolving landscape of regulatory compliance, the use of artificial intelligence (AI) is becoming increasingly prevalent among organizations. However, a recent study by Enhesa highlights alarming statistics regarding compliance teams that neglect to verify AI-generated outputs. The findings suggest that nearly 40% of these teams act on AI-generated regulatory guidance without any expert review, leading to a substantial increase in the likelihood of facing regulatory fines.

According to the research, compliance teams that forgo verification efforts can expect to experience fines nearly three times more often than their peers who make expert reviews a routine part of their processes. Specifically, 37% of those skipping verification reported regulatory fines compared to just 13% of those who took the essential step to confirm accuracy before implementation. This data underscores the critical importance of having a structured verification process in place to mitigate compliance risks associated with AI.

Regulatory Complexity Fuels AI Adoption

The rise in AI adoption among compliance teams can be largely attributed to the growing complexity of regulations. In fact, Enhesa's report revealed that 76% of teams are leveraging AI across their compliance functions, with many automating at least one core compliance task. This significant shift indicates that organizations are increasingly looking to technology to manage the overwhelming volume of regulatory changes – a staggering 22,000 major regulatory changes were tracked by Enhesa in 2025 alone.

With regulatory changes occurring at an unprecedented pace, companies face rising pressures to accelerate their compliance efforts. However, this rush often leads to a lack of proper scrutiny over AI outputs, resulting in notable negative business outcomes. The study indicates that 56% of compliance teams experienced challenges stemming from unverified AI outputs, such as regulatory fines, incorrect filings, and more.

AI Imperfections: More Speed than Foresight

While many leaders acknowledge that AI significantly enhances the speed of identifying and reacting to regulatory changes, the technology often falls short in providing foresight regarding potential future risks. The survey found that improvements in efficiency were primarily seen in compliance monitoring and reporting, rather than in predicting future regulatory challenges.

Forty-eight percent of respondents noted that AI helped them quickly address current regulatory changes, while only 26% felt it improved their ability to anticipate upcoming risks. Moreover, compliance teams utilizing fully autonomous or agentic AI experienced a notably higher rate of negative outcomes, indicating a critical gap in effective oversight and management.

The Risks of Shadow AI

Shadow AI – the use of unregulated or non-corporate AI tools – adds another layer of complexity. A staggering 64% of compliance teams reported inputting sensitive material into these tools, with consequences that included a significant rate of adverse outcomes. Those who used shadow AI reported negative results at 82%, compared to just 9% among teams that refrained from using any such tools.

Defending AI-Driven Decisions

Despite acknowledging the need for strong defensibility standards, compliance teams often struggle to meet them. While 91% of leaders label source citation critical before acting on AI outputs, just 32% feel very confident in their team's ability to defend AI-driven decisions. This reveals a striking disconnect between the recognition of the need for thorough reviews and the actual practices employed within compliance teams.

A key takeaway from the report is that organizations prioritizing verification processes significantly reduce their risk of compliance fines. Teams that rarely or never skip expert verification reported only a 7% fine rate, solidifying the beneficial impact of thorough review practices.

To navigate the complex regulatory environment effectively, leaders must consider pairing AI with expert counsel. A combined approach garners support from 43% of leaders, suggesting that collaboration between AI technology and human expertise is the most effective strategy for maintaining compliance and safeguarding against potential risks. This strategy seems to provide the agility needed in a fast-paced regulatory landscape while ensuring a foundation for defensible decisions.

As regulatory pressures continue to mount, organizations must recognize that speed driven by AI must be balanced with thorough verification processes to protect their interests and ensure compliance. In this dynamic environment, careful decision-making paired with advanced technology is essential for achieving sustainable success.

For further insights and detailed research, Enhesa's full report is available for download, offering a comprehensive overview of the current state of AI in regulatory compliance.