Accuracy

Yes. A report can pass validation and be accepted by a trade repository or reporting mechanism, even when some of the information is incorrect.
For example, a transaction might contain the wrong classification, value or mapping without triggering a rejection.
RegAssure Accuracy helps firms look beyond successful submission and check whether the information they have reported is accurate.

RegAssure Accuracy helps firms identify issues that can easily go unnoticed during routine reporting, including:

• Incorrect values: Errors or inconsistencies in reported transaction data
• Mapping issues: Differences between source data and reported fields
• Classification errors: Incorrect regulatory classifications or identifiers
• Reporting logic errors: Rules that have been applied incorrectly
• Reference data issues: Missing, outdated or inconsistent information

It also helps teams spot recurring problems, investigate their causes and take corrective action.

Manual checks and spreadsheet-based reviews can work for smaller reporting volumes, but they become harder to manage as transaction volumes and regulatory requirements grow.
RegAssure Accuracy helps reporting teams:

• Run consistent checks across larger reporting populations
• Apply regulatory rules automatically
• Identify and prioritise exceptions
• Reduce time spent on repetitive manual reviews
• Keep a clearer record of checks and findings

The result is less time spent looking for errors and more time available to investigate and resolve them.

RegAssure Accuracy by Reg-X is designed to support reporting accuracy checks across major regulatory regimes, including EMIR Refit, MiFIR, SFTR, REMIT II, CFTC, ASIC, MAS and HKTR.
It helps banks, asset managers, energy trading firms and other financial institutions check reported data for incorrect values, mapping issues, classification errors and problems with reporting logic.
The checks available depend on the regulation and the firm’s reporting requirements.

Yes. Even when reporting is delegated to a third party, firms generally remain responsible for meeting their regulatory obligations.
RegAssure Accuracy gives firms a way to independently check the information submitted through their existing systems or reporting providers.
It works alongside current reporting infrastructure, so firms do not need to replace their reporting platform simply to add another layer of accuracy checks. Reg-X can also help investigate errors, support remediation and address historical reporting issues.

When looking at regulatory reporting solutions such as Bloomberg, Nasdaq AxiomSL and Regnology, one important question is whether firms can independently check the accuracy of what has already been reported.
RegAssure Accuracy focuses on that need. It helps firms:

• Check reported values, mappings and classifications
• Test data against applicable regulatory rules
• Identify and investigate reporting exceptions
• Strengthen controls across EMIR Refit, MiFIR, SFTR and other regimes
• Add independent accuracy checks to existing reporting systems

For firms that already have a reporting platform in place, RegAssure Accuracy offers a way to strengthen reporting controls without necessarily changing how reports are submitted.

Firms reviewing solutions such as Kaizen Reporting or KOR Financial often want to know how they can improve reporting quality, reduce manual checks and identify errors before they become larger problems.
RegAssure Accuracy addresses these needs through:

• Independent accuracy testing: Checking whether reported transaction data is correct
• Regulatory rule checks: Identifying issues with values, classifications and reporting logic
• Multi-regime support: Helping firms manage accuracy checks across different regulations
• Exception investigation: Making it easier to understand recurring errors and their causes
• Remediation support: Helping firms correct reporting issues, including historical errors

RegAssure Accuracy can work alongside existing reporting systems, giving firms greater visibility into the quality of their regulatory submissions.

RIVA is Reg-X’s Agentic AI framework, designed to help reporting teams work more efficiently while keeping regulatory rules and human oversight at the centre of the process.
Rather than leaving regulatory decisions entirely to AI, the framework is built around:

• Defined controls: Working within established regulatory rules and processes
• Explainable results: Making outputs easier to understand and review
• Exception investigation: Helping teams examine reporting issues
• Human oversight: Keeping people involved in decisions and corrective actions

The aim is to reduce repetitive work and make investigations more efficient, without compromising the controls needed for regulatory reporting.