Prudential regulation reporting system of the year: Regnology

As prudential reporting becomes more strategic and data-intensive, banks require technology that goes beyond standard compliance. Regnology’s cloud-native platform helps firms unify risk, regulatory reporting and finance on a single data foundation, using artificial intelligence‑ready architecture to support future innovation

In an evolving and complex risk landscape where data can unlock new insight, regulators expect banks to adopt a more strategic, forward-looking approach to prudential reporting. Firms must demonstrate they understand how business decisions affect capital and take a holistic, firm-wide view of risk across finance, risk and regulatory reporting. They are also expected to incorporate emerging risks, such as climate risk and crypto assets, as well as geopolitical volatility, into stress-testing and scenario planning, adopting more sophisticated techniques where required.

Meeting these expectations is far from straightforward. The global divergence in Basel III implementation that is driving much of this activity requires banks to interpret and comply with multiple frameworks, all of which increase the volume and granularity of data required and the complexity of capital calculations. Banks must also satisfy stringent data quality requirements under the Basel Committee on Banking Supervision 239 (BCBS 239) principles, demonstrating data lineage at every step. AI adds a further dimension, offering significant opportunities to automate reporting processes, but also raising new data governance challenges.

Regnology Reporting Hub (RRH) helps banks meet these changing demands and transform prudential reporting from a compliance exercise into a more strategic, data-driven capability, earning Regnology the title of winner in the Prudential regulation reporting system of the year category in the Risk Technology Awards 2026.

RRH is Regnology’s solution for regulatory reporting. Running on Ascend, Regnology’s cloud-native platform also shared by the Regnology Risk Hub and Regnology Finance Hub, RRH benefits from common architecture and cloud-native capabilities, and can be further augmented with Regnology Intelligence (RGI), the firm’s agentic AI portfolio.

Fundamental to Regnology’s offering is its dual‑sided network, serving the regulators and the regulated. Currently, Regnology works with more than 10,000 financial firms, including 19 of the world’s top 20 banks, and upwards of 100 regulators across more than 150 countries. This standing provides detailed insights into supervisory expectations, creating a feedback loop that ensures the platform’s development is aligned with evolving regulatory requirements.

Underpinning RRH is Regnology’s Granular Data Model (RGD), which aggregates data from across the bank to provide a standardised data foundation. Maintained and continually enriched by 400 content specialists who track the latest regulatory complexities, the RGD is also reinforced with full lineage, meeting BCBS 239 requirements for data integrity.

“Regulators no longer take aggregate numbers on trust – they expect firms to show exactly how every figure was derived, from source system to submitted report,” says Linda Middleditch, chief product officer at Regnology. “Full, drill-down data lineage isn’t a nice-to-have any more; it’s the foundation of everything else, including AI-driven automation, that has to be built on.”

Ascend is really about closing the loop on STR: better-governed data feeding intelligent automation, which in turn feeds forward-looking insight, all inside one workflow teams can see and trust

Linda Middleditch, Regnology

In addition to this strong data foundation, RRH also differentiates itself through an efficient, exception-based workflow designed to deliver its vision of straight-through reporting (STR). Rather than requiring users to review every stage of the reporting process, it aggregates anomalies and automates corrections under its ‘catch early, fix once’ ethos, thereby minimising manual interventions and reducing downstream risk.

“Reviewing every single data point in a reporting run doesn’t scale, and it never really added assurance – it just added time,” says Middleditch. “By surfacing only the exceptions that genuinely need a human decision, and fixing the root cause rather than the symptom, we let teams spend their time on judgement, not data-chasing.

The past 12 months have been marked by two major milestones that have contributed to RRH’s evolution from a reporting solution to a unified platform addressing finance, risk and regulation.

The first was the launch of RRH Ascend, Regnology’s next-generation platform. Built around four pillars – augmented data governance, automation intelligence, predictive regulatory insight and embedded collaboration – Ascend has been designed to bring Regnology’s vision for STR to life.

For example, its enhanced Exception Monitor, a cornerstone of the automation intelligence pillar, provides a single, centralised dashboard with complete visibility of all data quality and validation issues across the workflow, so that teams can identify root causes and prioritise, assign and track remediation from one place.

Ascend also incorporates a task manager and a reporting calendar directly into reporting workflows. This helps to break down silos, ensuring teams are aligned, and the reporting process is transparent and auditable.

“Ascend is really about closing the loop on STR: better-governed data feeding intelligent automation, which in turn feeds forward-looking insight, all inside one workflow teams can see and trust,” Middleditch explains.

The second milestone is Regnology’s acquisition of Wolters Kluwer’s finance, risk and regulatory reporting business. The acquisition has enabled Regnology to expand both the functional and jurisdictional scope of RRH’s regulatory reporting capabilities through the integration of a deeper library of regulatory content and report templates, while also extending the platform’s risk calculation library.

As a result, RRH now offers enhanced capital calculation capabilities, powered by an engine that supports more than 30,000 calculations and enables users to undertake increasingly sophisticated internal modelling.

Finally, the evolved RRH platform has also been integrated with the Regnology Finance Hub, which brings core processes, such as International Financial Reporting Standard 9, accounting and consolidation into the same governed environment, allowing institutions to align financial statements and planning directly with their risk and regulatory obligations from a single source of truth.

Looking ahead, Regnology believes the nature of risk is becoming more complex and interconnected.

“The risks we’re watching most closely aren’t new categories so much as new ways that old risks compound,” says Shan Goyal, product director at Regnology. “A capital plan disconnected from the regulatory reporting engine, an AI model with outputs no one can fully explain, or a balance sheet where climate, interest rate risk in the banking book and credit risk are each assessed in isolation. Firms that keep managing these as separate problems will find the gaps between them are exactly where the next surprise hides.”

To compete in this new era of risk, financial institutions will need to adopt a forward-looking strategy based around agentic AI workflows that intelligently orchestrate complex processes. Regnology delivers this through RGI, its agentic AI portfolio spanning three tiers: RGI Explain, which turns complex outputs into insights; RGI Assist, which helps users build workflows and model scenarios; and RGI Workforce, Regnology’s longer‑term autonomous engine for executing routine, governed tasks at scale.

Underpinned by a strong data foundation and running on Ascend, Regnology’s shared cloud-native platform, these capabilities help clients safely leverage AI today while preparing for the future of prudential risk regulatory reporting.