At the 2025 Global RegTech Summit, TSO hosted a closed-door roundtable with leaders from across the financial regulatory sector. The discussion focused on how supervision must evolve to keep pace with data volumes, cross-border complexity, and emerging technologies.
While regulators face varied pressures in different jurisdictions, four consistent themes emerged: a shift toward data-led models, practical experimentation with AI, ongoing reporting challenges, and a clear appetite for smarter infrastructure.
The shift to data-led supervision
Supervision models are evolving from periodic reporting to real-time oversight. Many regulators are moving toward frameworks where firms push structured data directly to the authority - reducing delays and enabling faster, evidence-led decision-making. Artificial intelligence is seen as a key enabler, both for regulators and the firms they oversee. From analysing incoming data to interpreting rules in context, AI offers a route to more proactive and efficient supervision. However, delivering on this vision depends on the quality and structure of underlying regulatory content. Without a digital foundation, supervisory systems remain limited in scope and usability.
Early adoption of AI tools by financial regulators
Regulators are increasingly testing AI-driven tools to enhance access to complex rulebooks. One example raised during the roundtable was the use of natural language chatbots that allow users to query regulations in plain English. These tools do more than improve user experience. They generate valuable insight into how regulation is understood in practice - identifying common misunderstandings, frequent queries, and areas where further guidance is needed. To function effectively, these tools require structured, machine-readable regulatory content - a core capability TSO provides for clients across the central government and regulatory sectors.
Practical challenges remain
Despite progress, regulators continue to face persistent operational challenges. These include:
Poor data quality in firm submissions
Inconsistent compliance and reporting standards
Fragmented taxonomies and limited cross-border harmonisation
These factors limit scalability and reduce confidence in oversight. As one participant noted, “You can’t build smart systems on unstructured inputs.” Addressing these blockers is essential for enabling the next generation of supervision tools and methods.
A clear direction of travel
When asked what would most improve their supervisory capabilities, regulators identified a consistent set of priorities:
Industry-wide data utilities
Faster, tech-enabled licensing
Quality-led, data-first compliance monitoring
Regulatory sandboxes and structured innovation environments
Gen AI tools, underpinned by trusted, structured content
All of these require a reliable content infrastructure - one that supports interoperability, usability, and automation.
Supporting smarter supervision
TSO works with regulators to unlock the full value of their content - transforming static documents (often in the form of locked PDFs) into structured, digital-ready formats that power next-generation supervision, compliance, and public access. From AI-ready rulebooks to taxonomy-driven guidance and improved standards in policy-making, TSO enables the shift toward intelligent, scalable, and user-focused regulation.
To learn more about how structured content can enhance supervision and support regulatory transformation, get in touch.
