Financial institutions risk being overwhelmed by regulatory demands unless they dismantle the walls between their risk, finance, and reporting functions, according to a new whitepaper from RegTech firm Regnology and analyst house Chartis.
The whitepaper, the second in a joint series, argues that risk management, regulatory calculations, and reporting have developed in isolation for too long, leaving banks with fragmented data flows, costly reconciliation problems, and mounting operational complexity.
As regulators demand more granular data, shorter reporting timelines, and clearer data lineage, the authors warn that these disconnected systems are becoming unsustainable.
Rather than simply automating existing workflows, the whitepaper calls for a shift towards a genuinely intelligent regulatory operating model, one where risk management, regulatory calculations, and reporting sit within a single control framework. This, the authors argue, is not merely a technical upgrade but a strategic necessity for enabling AI-powered decision-making and continuous adaptation as rules evolve.
Three findings anchor the report. First, fragmented architectures can no longer keep pace with regulators’ demands for speed and detail. Second, a unified data and control framework can deliver straight-through reporting (STR), moving information from source systems to final submission without manual intervention.
Third, consolidating onto a single platform reduces complexity, strengthens accountability, and provides the trusted data foundation needed for automation and Agentic AI across the reporting lifecycle.
The whitepaper sets out why an integrated value chain should be viewed as a foundation rather than an end point, and details how institutions can redesign their operating models so data flows seamlessly from source to submission, creating one reliable version of the truth.
It also outlines practical steps towards true STR, removing manual handoffs to boost speed, data quality, and confidence in results, alongside the case for a single-vendor platform to ensure end-to-end accountability, full data lineage, and consistent regulatory interpretation. A further section addresses how to build a modular, future-proof architecture that retains flexibility without reintroducing the silos that stifle automation.
The report is aimed squarely at senior decision-makers grappling with this shift, including chief risk officers and chief financial officers seeking closer alignment between risk and finance, heads of regulatory reporting and compliance focused on accuracy and timeliness, chief data officers and IT leaders building resilient data architectures, and transformation leaders tasked with future-proofing their organisations against regulatory change.
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