What is the future of regulatory reporting?

Sataporn Ungcharoenwong

19.05.2026

The regulatory reporting landscape is undergoing a fundamental transformation driven by technological advances and evolving regulatory demands. Financial institutions are moving away from traditional batch-processing systems toward real-time, AI-powered solutions that provide greater transparency, accuracy, and efficiency. This shift addresses growing regulatory complexity while enabling institutions to leverage best-of-breed solutions through integrated data management and flexible connector-based architectures that seamlessly integrate with their preferred reporting vendors.

What is regulatory reporting and why is it changing?

Regulatory reporting is the process by which financial institutions submit standardized data to regulatory authorities to demonstrate compliance with banking regulations and risk management requirements. This includes COREP reporting, BCBS 239 compliance, and other frameworks that require detailed risk exposure data.

The regulatory landscape is changing because traditional overnight batch-processing systems can no longer meet the demands of modern compliance requirements. Regulators are pushing for more timely and granular data in the wake of recent bank failures, requiring transparency down to the transaction level rather than aggregated monthly or quarterly reports. The Basel Committee’s BCBS 239 now mandates complete end-to-end data lineage, accuracy, and timely reporting, forcing institutions to rethink their entire risk systems.

Legacy platforms are inadequate for end-to-end data management, mapping, calculations, and report submissions due to their batch-based architectures and cross-jurisdictional limitations. What once took 10–15 days for a regulatory cycle can now be accomplished much faster with streaming technology and standard connectors that integrate with banks’ preferred regulatory reporting vendors. This approach eliminates the data format restrictions and jurisdictional constraints that plague traditional all-in-one systems, ultimately reducing the risk of submission errors and regulatory penalties.

How is real-time reporting transforming regulatory compliance?

Real-time reporting transforms regulatory compliance by eliminating the delays and inefficiencies of batch processing, enabling financial institutions to respond more quickly to business, economic, and regulatory changes while reducing operational costs and improving data accuracy through flexible integration with best-of-breed reporting solutions.

Traditional regulatory submissions involve significant manual intervention and last-minute changes, increasing the risk of errors and non-compliance. For example, one institution reduced its total calculation time for regulatory compliance data from 24 hours to less than one hour by adopting real-time processing capabilities with standard connectors to their preferred reporting vendors. This dramatic improvement demonstrates how treating regulatory calculations and reporting as separate disciplines can revolutionize compliance operations.

Real-time systems provide complete source-to-reporting data lineage, with visual maps of data movement and transformation. This transparency directly aligns with BCBS 239 principles and enables institutions to trace data origins throughout the entire journey to regulatory reports. Built-in validation capabilities and automated workflows reduce manual processes while increasing efficiency and reducing the likelihood of submission errors, all while maintaining flexibility to work with banks’ chosen reporting ecosystem.

What role will artificial intelligence play in regulatory reporting?

Artificial intelligence will automate data validation, enhance risk analysis accuracy, and provide intelligent insights to help compliance teams analyze risk calculation results more effectively, transforming regulatory reporting from a reactive process into a proactive risk management tool that seamlessly integrates with institutions’ preferred reporting vendors.

AI-powered platforms can automatically identify data errors, validate information quality, and reconcile discrepancies that previously required manual intervention. This automation significantly reduces the burden on reporting teams while improving data integrity across the entire compliance process. Machine learning algorithms can also detect patterns and anomalies in risk data that human analysts might miss, regardless of which reporting vendor the institution chooses to work with.

Beyond automation, AI assistants integrated into regulatory platforms help customers interpret their risk calculation results and identify potential compliance issues before they become problems. This predictive capability enables institutions to address regulatory concerns proactively rather than reactively, ultimately reducing the risk of penalties and improving overall compliance posture while maintaining the flexibility to leverage best-of-breed reporting solutions.

How will RegTech solutions address regulatory complexity?

RegTech solutions address regulatory complexity by treating regulatory calculations and reporting as separate disciplines, offering standard connectors that enable banks to choose their preferred regulatory reporting vendors while eliminating the cross-jurisdictional and data format limitations inherent in traditional all-in-one systems.

Cross-jurisdictional reporting currently drives high implementation costs and long timelines because traditional monolithic systems struggle with different data formats and regulatory requirements across jurisdictions. Modern RegTech platforms solve this by providing vendor-agnostic standard connectors that seamlessly integrate with banks’ chosen reporting vendors, adapting to new taxonomies and jurisdiction-specific requirements. This approach significantly reduces ongoing maintenance costs and shortens implementation timelines while giving institutions the flexibility to work with best-of-breed solutions.

Rather than forcing institutions into one-size-fits-all solutions, modern RegTech platforms are designed to integrate seamlessly into the ecosystem banks already trust. These solutions maintain standard connectors to multiple regulatory reporting vendors as part of their service, giving institutions confidence that regulatory changes require only testing rather than complete system overhauls. This flexibility is particularly valuable as frameworks like IReF continue evolving and demanding unprecedented levels of data harmonization across Europe.

What challenges will financial institutions face in adopting new reporting technologies?

Financial institutions will face challenges including integration complexity with existing legacy systems, staff training requirements for new technologies, data migration risks, and the need to maintain regulatory compliance during transition periods while managing implementation costs and timelines.

Legacy system integration poses the most significant challenge because many institutions operate fragmented systems across finance, risk, and regulatory departments. Moving from these siloed environments to connector-based platforms requires careful planning to avoid data inconsistencies and maintain business continuity. The technical complexity of mapping existing data models to new systems while preserving complete data lineage demands specialized expertise, though standard connectors can significantly simplify integration with preferred reporting vendors.

Change management represents another major hurdle, as compliance teams must adapt to new workflows and interfaces. However, institutions that successfully navigate these challenges gain substantial competitive advantages through improved operational efficiency, reduced manual processes, and enhanced regulatory readiness. The key lies in selecting platforms that provide the flexibility to work with trusted reporting vendors while minimizing disruption through intuitive user interfaces and comprehensive support during implementation.

How will regulatory authorities adapt to technological advances?

Regulatory authorities will adapt by updating reporting standards to leverage real-time data capabilities, implementing more sophisticated data validation requirements, and potentially requiring enhanced transparency through detailed data lineage documentation that modern technologies enable.

Authorities are already pushing for more granular and timely reporting, as evidenced by evolving frameworks like IReF and enhanced BCBS 239 requirements. This trend will likely accelerate as regulators recognize the benefits of real-time risk monitoring for systemic stability. Future regulations may mandate intraday reporting capabilities for critical risk exposures, particularly during crisis periods.

The regulatory focus will shift toward data quality and transparency rather than just data quantity. Authorities will likely require institutions to demonstrate complete data lineage from source systems to final submissions, making end-to-end traceability a compliance requirement rather than merely a best practice. This evolution favors institutions that invest in modern regulatory reporting platforms capable of providing the transparency and flexibility through standard connectors that enable seamless integration with preferred reporting vendors, ensuring future compliance demands can be met efficiently.

This content was generated with the help of AI and it may contain mistakes