Enhesa’s New CEO Signals a Deeper Fusion of AI and Human Expertise

BRUSSELS, Belgium – September 09, 2026 – In a move that signals a significant acceleration in the tech-driven transformation of corporate compliance, global regulatory intelligence leader Enhesa has appointed Keith Berry as its new Chief Executive Officer. Berry, an 18-year veteran of Moody's renowned for operationalizing artificial intelligence in high-stakes risk management, takes the reins from Peter Schramme, who transitions into a strategic role after seven years of substantial growth. This leadership change is more than a simple executive shuffle; it represents a calculated bet on a future where corporate survival depends not just on navigating regulation, but on proactively anticipating it with intelligent, defensible systems.

For the Global Fortune 500 companies that rely on Enhesa, the stakes have never been higher. The sheer volume and velocity of regulatory change across environmental, health, and safety (EHS), product compliance, and sustainability have rendered manual processes obsolete. Berry’s appointment is a direct response to this reality, bringing a leader whose career has been defined by building platforms that fuse proprietary data with advanced AI to create actionable intelligence.

The New Mandate: From Reactive Checklists to Proactive Intelligence

The core challenge facing every multinational is one of absorption. "Compliance teams must absorb regulatory change at a pace no manual process can keep up with," Berry stated, underscoring the central problem his leadership is tasked with solving. The industry is shifting from a reactive, checklist-based model of compliance to a proactive, predictive system of intelligence. This is where Berry’s track record at Moody's becomes particularly salient.

As General Manager of Third-Party Risk Management Solutions, he oversaw the creation of Moody's first AI agents for compliance, a venture that tripled his business unit's revenue. His experience wasn't just in theory but in execution—building the very 'agentic capabilities' that Enhesa is now championing. These are not merely chatbots that summarize documents; they are sophisticated AI systems designed to perform a range of compliance tasks autonomously, flagging risks and suggesting actions before they become liabilities. The vision is for an 'always-on' compliance function, a digital nervous system that constantly monitors the global regulatory landscape.

This strategy builds on a foundation laid under outgoing CEO Peter Schramme, who initiated the company's formal AI strategy in late 2023 with the hiring of a Chief Artificial Intelligence Officer. The goal was to deploy generative AI to augment the work of its vast network of human experts, helping clients rapidly identify obligations and generate compliance reports. Berry is set to take this a step further, enabling customers to connect their own AI agents directly into Enhesa's data stream, creating a truly integrated and customized compliance ecosystem.

The 'Glass Box' Imperative: Why Traceability is AI's Holy Grail

As AI becomes more embedded in critical business functions, the 'black box' problem—where AI provides answers without showing its work—becomes an unacceptable risk, especially in the legal and regulatory domain. With frameworks like the EU's landmark AI Act reaching full enforcement this year, the demand for explainable AI (XAI) is no longer a preference but a legal necessity. This is where Enhesa's strategic approach reveals its most significant competitive advantage.

Peter Schramme, the outgoing CEO, articulated this foundation perfectly: "We've built something truly differentiated: regulatory intelligence powered by expert-curated content, with complete traceability back to source legislation." This 'glass box' approach is the bedrock of trust. Every piece of intelligence the AI generates is defensible because it can be traced back to its legislative origin, vetted by one of the company's 160+ in-house legal experts across 40 countries. The AI learns from the experts, not from the wilds of the open internet, ensuring its outputs are grounded in verifiable fact.

This hybrid model directly addresses a primary concern among corporate clients. According to one compliance chief at a global medical technology firm, Enhesa filled a critical gap by providing expert-interpreted updates that were both accessible and readable, dramatically reducing manual research. The value isn't just the data, but the curated, structured intelligence built upon it. As Berry noted, "Enhesa already sets the standard with the regulatory data and expertise AI needs most." The strategy isn't to replace human expertise with AI, but to amplify it, using technology to scale the nuanced judgment that only a human expert can provide.

A System in Transition: Building on a Foundation of Growth

Leadership transitions in high-growth technology firms are often fraught with risk, but Enhesa has engineered a handover designed for strategic continuity. Schramme's move to Chief Strategy and Corporate Development Officer through the end of the year, and subsequently to Senior Board Advisor, ensures his deep institutional knowledge remains embedded within the organization. This is a textbook example of how to navigate change while protecting a company's core vision.

Patrick Gale, Enhesa's Chairman, acknowledged Schramme's contribution in building the company into a "global powerhouse" and establishing the technology platform that makes this next chapter possible. Schramme's tenure was defined by expanding the company's reach into new compliance domains and, crucially, establishing AI as a core pillar of the platform. His continued presence provides a strategic bridge, allowing Berry to focus on accelerating the AI and agentic roadmap without needing to rebuild the foundational systems.

This carefully managed succession plan sends a powerful message to the market and to the company’s enterprise clients: stability and innovation are not mutually exclusive. It demonstrates a mature, systems-based approach to corporate evolution, ensuring that the momentum built over the past seven years will fuel the next wave of growth rather than being disrupted by it.

The Broader Battlefield: Navigating the AI-Driven Regulatory Arms Race

Enhesa's leadership pivot is occurring within the context of a tectonic shift in the Governance, Risk, and Compliance (GRC) industry. The LegalTech AI market is forecast to grow exponentially, with some projections showing an expansion from roughly $12 billion in 2023 to over $165 billion by 2032. Companies are in an arms race to adopt technologies that can provide a competitive edge in a world of complex, overlapping, and constantly changing rules.

However, this gold rush is littered with potential pitfalls, from data privacy concerns and algorithmic bias to the simple but profound risk of acting on flawed AI-generated advice. Enhesa's deliberate strategy of building its AI on a closed loop of proprietary, expert-validated data is a direct countermeasure to these risks. By ensuring its AI models are trained on high-quality, reliable information, the company is positioning itself as the trusted authority in an increasingly noisy market.

For business leaders, the appointment of an AI pioneer like Keith Berry to helm a top regulatory intelligence firm is a clear indicator of the future. The management of compliance and risk is transforming from a necessary but burdensome cost center into a source of strategic advantage. The companies that will thrive are those that invest in intelligent systems that are not only powerful but also transparent, defensible, and fundamentally trustworthy.