This past week, RegGenome, a University of Cambridge commercial spin-out, launched its enriched regulatory data repository powered by GenAI. The solution utilizes advanced AI technologies to power regulatory solutions and support sustainable business operations.
The imbalance of regulatory turbulence and compliance capabilities is driving the need for firms to invest in automation and AI technologies to improve regulatory operations and secure their compliance posture significantly. Firms need to adopt machine-based processes to effectively manage their regulatory burden.
A compliance risk study conducted by Accenture revealed that while 93% of compliance leaders believe new technologies like AI simplify compliance, 90% expect compliance costs to increase by up to 30% over the next two years. This is due to manual, labour-intensive, and time-consuming approaches to regulatory workflows.
Despite organizations dedicating substantial resources to stay on top of regulations and manage risk, the rapid pace of regulatory change and continuous expansion of firms’ needs have magnified these challenges, making traditional approaches increasingly unsustainable. The introduction of new regulatory technologies is only as good as the data that powers them.
RegGenome’s GenAI-Optimized Regulatory Repository Service offers a jurisdiction-agnostic repository of rich, descriptive, and inferential metadata, optimized for GenAI algorithms. This metadata enables applications and AI solutions to identify, interrogate, present, and manage pertinent regulations.
“Our GenAI-optimized data is vital for any firm investing in modernizing its data infrastructure and adopting AI. As a data-only provider, we can facilitate the creation of a central regulatory data set that can feed multiple internal use cases. By adopting our data, organizations are well-positioned to leverage the transformative potential of AI,” said COO Mark Johnston.
Using a universal information structure to organize and standardize regulations, RegGenome’s approach operationalizes documentation from any authority, in any language, enabling efficient and accurate access to relevant regulations. These information structures are built on provenance and anchored to regulatory standards reviewed by regulatory experts convened by the University of Cambridge. This ensures that the metadata used by RegGenome is linked to the original source documents, delivering assurance of its integrity, reliability, and relevancy.
Optimized for GenAI, RegGenome’s data empowers organizations to build standards-based solutions that harness foundational LLMs. This enables reliable GenAI solutions to manage regulatory changes, assess policy impacts, retrieve specific information, address queries, and generate document summaries. The capabilities of LLMs are enhanced through retrieval-augmented generation, delivering more accurate, efficient, and sustainable regulatory analysis.
With these advantages, organizations can perform granular searches to surface only relevant regulations quickly. Enhanced navigation via custom alerts allows users to find pertinent documents and receive timely updates. They can also identify common regulatory obligations across jurisdictions and publishers, routing regulations to teams based on relevance.
“With flexible delivery methods, our data integrates into any existing application or tool, maintaining continuity with current business operations. We meet you where you are, and that is the type of freedom customers get from a pure data-only provider,” said head of product, Jonny Scurr.
As AI adoption accelerates, integrating RegGenome’s GenAI-Optimized data is crucial for firms modernizing their digital infrastructure. This foundational dataset enhances existing systems and prepares organizations for the evolving regulatory environment.
