Regulation is moving faster than solutions can adapt
Regulation is changing at a pace that increasingly challenges the systems built to manage it. Even the most advanced RegTechs are constrained by a deeper issue: the data layer – the foundation every solution depends on, remains fragmented, inconsistent, and hard to operationalise at scale.
Most regulation is still published as documents, scattered across thousands of sources. Locating what’s relevant, tracing changes, and processing updates across jurisdictions becomes a structural bottleneck. Without AI-ready data, teams fall back on fragile scraping and hand-tagging, slowing delivery, limiting scale, and undermining client confidence.
Generative AI has raised expectations for speed and automation. But without provenance or structure, outputs are inconsistent, untraceable, and cannot support defensible compliance decisions.
This challenge is widely recognised. In its review of AI in financial services, the UK Government highlighted that access to structured, machine-consumable regulatory data is a key barrier to safe and effective AI adoption.
Why Data Quality Is a Strategic Pressure Point
The scale of the challenge is clear. In financial services alone, firms face over 60,000 regulatory events each year across more than 1,000+ regulatory publishers. Globally, hundreds of millions of pages are published annually, fragmented across jurisdictions.
Three forces are converging:
- Regulators shifting from entity-based oversight to activity-based obligations
- Boards facing greater accountability for compliance outcomes
- Customers demanding real-time, scalable, defensible compliance
In this environment, data quality is no longer a technical detail. It defines whether a solution earns trust and scales.
What AI-Ready Data Enables for RegTech
AI-ready data is no longer a nice to have. It is the infrastructure layer that allows RegTech platforms to scale features, embed AI responsibly, and meet rising expectations from clients and regulators.
At RegGenome, we transform fragmented regulation into structured, machine-readable, source-linked data enriched with metadata, lineage, and consistency for real-world AI use cases.
Here is what that enables:
Faster product delivery
Launch features faster: remove the cost of content acquisition and structuring so teams can focus on client value.
Jurisdictional Scale
Expand coverage: enter new jurisdictions without rebuilding pipelines or multiplying costs.
Defensible outputs
Audit-ready outputs: every obligation traceable to source and versioned, giving clients the confidence to adopt at scale.
Future-Proof AI
Structured data makes AI reliable in production, not just impressive in a demo.
Why this matters: GenAI cannot deliver reliable outputs on raw, unstructured regulation. AI-ready data is the difference between a feature that looks good in a demo and one that scales in production.
The Bigger Picture: Why Data Is RegTech’s Infrastructure Layer
Every wave of technology has depended on hidden infrastructure:
- In cloud computing, it was AWS
- In payments, it was Stripe
- In compliance, it is structured regulatory data
This foundation turns fragmented regulation into machine-consumable inputs. Without it, platforms remain trapped in brittle pipelines. With it, they can deliver real-time intelligence, AI copilots, change detection, and risk mapping at scale.
We know RegTech teams are already racing to meet demand, navigating regulatory change, scaling across jurisdictions, embedding GenAI responsibly. Those who succeed in the next wave will be the ones who treat data as infrastructure, and build on foundations that scale with them.
Conclusion: The Competitive Edge of AI-Ready Data
In a landscape defined by complexity and rising expectations, AI-ready data is no longer optional. It is a strategic foundation.
Platforms built on unstructured regulation will always face limits, including scalability, speed, and trust.
With structured, provenance-rich data, RegTech providers can move faster, operate with confidence, and deliver features that stand up to scrutiny.
At RegGenome, we provide the infrastructure that makes this possible – removing the bottleneck, accelerating product development, and enabling solutions that are scalable, defensible, and future-ready.
