Financial institutions have spent years bolting risk, finance and regulatory reporting systems together, but the cracks are starting to show. As regulators demand more granular data, tighter deadlines and clearer lineage, the patchwork approach that once sufficed is becoming a costly liability.
RegTech firm Regnology has released the second instalment of its whitepaper series with Chartis, arguing that financial institutions must move beyond automating individual workflows and instead build a genuinely intelligent regulatory operating model.
The paper contends that connecting risk management, regulatory calculations and reporting within a single control framework is no longer an optional upgrade, but a strategic necessity for firms hoping to deploy AI-driven decision making.
According to the whitepaper, fragmented architectures for risk and reporting can no longer keep pace with regulators’ escalating demands for speed and granularity. A unified data and control framework, it argues, is what enables straight-through reporting (STR), allowing information to flow from source systems directly to final regulatory submission without manual intervention.
The paper also makes the case that a single-platform strategy reduces operational complexity while ensuring accountability, laying the groundwork required for intelligent automation and Agentic AI across the value chain.
The research sets out to show why an integrated value chain should be viewed not as an end point, but as the foundation for trusted AI, intelligent orchestration and scalable automation across the regulatory lifecycle. It also details how institutions can design an operating model in which data moves seamlessly from source to submission, creating a single, reliable source of truth.
Practical steps towards true STR are outlined, aimed at eliminating manual handoffs and improving speed, data quality and confidence in outputs. The paper further explores the strategic case for a single-vendor platform in delivering end-to-end accountability, complete data lineage and consistent regulatory interpretation, alongside guidance on building a modular, future-proof architecture that avoids reintroducing the silos that hinder automation.
The whitepaper is aimed squarely at senior decision-makers grappling with the complexity of modern risk and regulatory demands, including chief risk officers and chief financial officers looking to align their functions, as well as heads of regulatory reporting and compliance focused on improving accuracy and timeliness. Chief data officers, IT leaders and transformation executives tasked with future-proofing their organisations’ operating models are also among the intended audience.
Download the full whitepaper here.
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