AI Adoption for Compliance: Expert Q&A on EHS and Product Compliance

Artificial intelligence is set to redefine the landscape of product compliance and Environmental, Health, and Safety (EHS). To shed light on this transformation, we gathered industry leaders for our webinar, “Market Perspectives: The Future of AI and Product Compliance.”

The session featured insights from 3E's own experts and special guest Nathan Goldstein, an industry analyst at Verdantix. The discussion explored how companies are approaching AI, the opportunities it presents, and the challenges that lie ahead.

Here are the takeaways from that discussion, with answers summarized from our panel of experts.

The Current State of AI in Compliance

While the conversation around AI is everywhere, practical adoption is still in its early stages. The data shows that companies are proceeding with a mix of curiosity and caution.

According to 3E findings, a majority of companies-56%-are actively exploring AI. They are either piloting it in a single workflow or beginning to scale its use across several departments. However, true organization-wide adoption is rare, with only 3% of companies having fully integrated AI across their operations.

This indicates a clear trend: businesses are in an experimental phase. They are focused on identifying the most impactful use cases and building a solid foundation before committing to a full-scale rollout. This measured approach ensures they can learn and adapt as the technology evolves.

Financial Investments in AI for EHS

Financial commitment in AI for EHS is significant and growing. The insights shared during the webinar reveal a strong belief in the long-term return on investment for AI in compliance.

3E market research data shows that 31% of companies plan to spend over a million dollars on advanced AI applications for EHS and product compliance use cases within the next three years. This level of planned spending demonstrates that leaders see AI not as a speculative venture but as a critical component for future success and a source of competitive advantage.

How companies can access AI capabilities

The overwhelming preference is for integrated solutions. Businesses are not looking to add more complexity to their technology stack with standalone AI tools.

An estimated 70% of respondents expect to use advanced AI directly within their existing EHS or product compliance software. This highlights a crucial demand from the market: AI must be seamlessly embedded into the platforms that teams already use and trust. A native integration provides a unified user experience, leverages existing data, and streamlines workflows, making the technology far more powerful and accessible.

Overcoming Challenges in AI Implementation

The path to leveraging AI is not without obstacles. 3E experts identified several critical hurdles that organizations must address to realize the full potential of this technology.

The primary barrier is internal data quality. AI models are fundamentally dependent on the data they are trained on. If the data is inaccurate, incomplete, or poorly structured, the AI’s output will be unreliable. This makes data governance and quality a prerequisite for any successful AI initiative.

Another key consideration is the need for human oversight. In the high-stakes field of product compliance, the cost of error is substantial. As Neil Abdalla, who heads global partnerships at 3E, explained, 3E is committed to a “human over the loop” approach to AI innovation. He emphasized this is

“…due to the criticality and cost of noncompliance of getting this wrong.”

AI serves best as a tool that enhances the capabilities of human experts, who provide the final validation on critical decisions.

Building Trust in AI Platforms for Compliance

For AI to be adopted at scale, especially at a platform level, it must earn the trust of its users. This was a central theme of the discussion. Bobby Shackleton, Senior Director of Product Management at 3E, stated it clearly:

“…when I think about impact and the way a platform for AI will advance, it really starts with trust.”

This trust is built on four pillars:

• Reliable Data: Confidence in the accuracy and currency of the underlying information.
• Expertise: Assurance that the AI is built on and guided by deep domain knowledge.
• Governance: Clear frameworks for how AI is managed, used, and monitored.
• Security: Robust protocols to safeguard sensitive data.

When evaluating AI applications, customers consistently rank performance, reliability, and accuracy as their top purchasing criteria. These fundamentals are essential for building the confidence needed for widespread adoption.

AI’s Immediate Impact on EHS and Compliance

The EHS function is emerging as a frontrunner in applying AI. The nature of EHS work makes it an ideal candidate for AI-driven innovation.

Nathan Goldstein from Verdantix noted,

“EHS, as we all know, is a very compliance-driven practice… what we’re seeing with AI in this space is a very easy, easy win, low-hanging fruit for regulatory compliance.”

The structured, data-intensive, and rules-based tasks common in compliance-like monitoring regulatory updates and automating reports-are perfectly suited for AI to deliver immediate and measurable value.

Even with these technological advances, the human element remains central. EHS is dedicated to protecting people and the planet, and AI is another powerful tool to help professionals achieve that mission more effectively.

Q&A Highlights: Insights from the Audience

The closing segment of the webinar provided an opportunity for attendees to pose their most pressing questions directly to the panel. This interactive discussion offered practical advice and deeper insights into real-world challenges and expectations for AI in product compliance.

Q: What skills will be most critical for compliance professionals as AI becomes more prevalent?

A:

Panelists emphasized that foundational compliance knowledge remains essential. However, as AI tools become standard, professionals will also need digital literacy and an understanding of how to interpret AI-generated insights. As one speaker noted,

“AI enhances decision-making, but ultimately, you need the subject matter expertise to validate and act on those recommendations.”

Q: How can organizations ensure data privacy and security while adopting AI?

A:

The panel addressed concerns about sensitive data and compliance requirements, outlining several key actions organizations should prioritize to safeguard privacy and meet regulatory standards. J.P. O'Sullivan reinforced 3E's commitment, stating,

“We build our platforms with data governance at its core, applying strict access controls and ensuring all AI applications comply with industry standards. Our focus on security is unwavering because trust is foundational in compliance.”

Beyond robust access controls and governance frameworks, experts recommended employing end-to-end encryption for both data in transit and at rest. Regular security audits and assessments are fundamental, helping organizations proactively identify and remediate vulnerabilities. Additionally, adherence to global data protection regulations-such as GDPR and CCPA-is critical. Organizations are encouraged to maintain up-to-date privacy policies, conduct thorough data mapping exercises, and ensure transparent data handling practices.

By integrating these measures into their AI strategies, companies not only mitigate risk but also build the foundation of trust that's essential for successful AI deployment in regulated environments.

Q: What steps can companies take to overcome internal resistance to AI adoption?

A:

Experts advised starting with clear communication about AI's benefits-especially how it helps teams focus on higher-value tasks by automating routine processes. Pilot projects and demonstrations can showcase quick wins.

“Educate your teams and show them how AI is a tool for empowerment, not replacement,” one panelist encouraged.

Q: Where is AI making the biggest impact today within compliance?

Panelists consistently pointed to tasks that are rules-driven and data-heavy.

“Monitoring regulatory changes, automating documentation, and improving incident tracking-these are areas where AI is already delivering value,” shared a product expert.

These real-world questions underscored the importance of a thoughtful, people-centric approach to technology adoption in compliance. The panel's responses reflected both confidence in AI's potential and a commitment to supporting clients through change.

3E’s Commitment to Intelligent Compliance

The insights from our webinar confirm that the future of compliance is intelligent, integrated, and built on a foundation of trust.

As our Chief Operating Officer and Head of Product, J.P. O’Sullivan, explained, 3E is committed to leading this charge. Our approach is to embed advanced AI capabilities directly into our platform, enhancing the tools our clients already rely on. By combining our unparalleled regulatory content with powerful AI, we help businesses manage complexity with greater confidence and foresight. Our goal is to transform compliance from a business necessity into a strategic driver of value.

To learn more about how AI is transforming the compliance landscape, we invite you to watch our webinar on demand or download our Q4 Market Perspectives Report, The Future of AI in Compliance. These resources provide actionable insights and explore how businesses can leverage AI to stay ahead in an increasingly complex regulatory environment. Don't miss the opportunity to gain expert perspectives and strategies-access them today!