Regulatory reporting is becoming a data architecture problem as much as a compliance one. Financial institutions are under growing pressure to provide more detailed information, meet shorter reporting deadlines and demonstrate exactly how figures have been produced. Yet many continue to manage risk, finance and regulatory reporting through separate systems and operational teams.
That separation can create a complex chain of data transfers. Information may move between multiple platforms before reaching a regulatory return, with manual checks and reconciliations often required along the way. As reporting requirements become more demanding, maintaining these disconnected processes can increase both operational workload and the potential for errors.
A new whitepaper from Regnology, a regulatory technology provider, and Chartis examines how financial institutions can address these challenges by connecting risk management, regulatory calculations and reporting within a single control framework.
The analysis argues that institutions need to move beyond automating individual reporting processes and instead consider the full journey from source data through to regulatory submission. It describes this approach as an integrated value chain, designed to create more consistent data flows and reduce the manual handoffs that can make regulatory reporting difficult to manage.
The whitepaper also highlights the importance of creating a reliable source of truth across risk, finance and reporting functions. With information often moving between different systems, institutions can face challenges when trying to establish where data originated, how it was processed and why a particular figure appeared in a regulatory submission.
This makes data lineage increasingly important as regulatory expectations around transparency and data quality continue to rise. A more connected architecture could give institutions greater visibility into the reporting process and make it easier to identify and address discrepancies.
The whitepaper explores how financial institutions can build an integrated value chain connecting risk, regulatory calculations and reporting, create a single source of truth from data collection through to regulatory submission, reduce manual handoffs through straight-through reporting (STR), strengthen data lineage and accountability, and develop a modular architecture that can adapt to regulatory change without recreating the silos that hinder automation. It also examines how this integrated approach could provide the foundation for trusted AI and intelligent automation across the regulatory lifecycle.
The report is aimed at senior executives and decision-makers across risk, finance, regulatory reporting, compliance, data and technology functions, as well as teams responsible for managing transformation and regulatory change.
Regnology and Chartis position the integrated value chain as a foundation for creating a more efficient and resilient regulatory operating model as reporting requirements become increasingly complex.
Read the full Regnology and Chartis whitepaper
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