15+ Global Regulatory Regimes
All Asset Classes
Agentic AI Framework
24×7 Cloud SaaS
Regulatory reporting completeness
Identify missing transactions, reporting gaps and reconciliation breaks before they become regulatory findings.
RegAssure Completeness independently reconciles internal books and records against regulatory submissions to identify under-reporting, over-reporting, late reporting and field-level mismatches.
Combining automated reconciliation, regulatory expertise and Reg-X’s RIVA Agentic AI framework, the solution supports more efficient exception investigation and stronger reporting oversight across global regulatory regimes.
Independent Reporting Reconciliation
Verify what was actually reported
RegAssure Completeness compares transactions from internal source systems against records submitted to regulators, trade repositories and approved reporting mechanisms.
The platform normalises and aligns data from different systems, enabling independent reconciliation of expected and actual regulatory submissions.
This helps firms identify missing transactions, unexpected reports and discrepancies that existing reporting controls may overlook.
Over & Under-Reporting Detection
Find reporting gaps and excess submissions
Not every transaction captured internally is reportable, and not every reportable transaction necessarily reaches its reporting destination.
RegAssure Completeness uses an independent eligibility engine to identify under-reporting and over-reporting by comparing source transactions against regulatory records.
Regulatory rules remain at the core of these assessments, helping firms identify missing submissions, unnecessary reports and recurring reporting gaps.
Late Reporting Monitoring
Identify delays before they escalate
Regulatory reporting completeness also depends on whether transactions are reported within the required timeframe.
RegAssure Completeness identifies late reporting and categorises exceptions by business days overdue, helping teams understand the severity of reporting delays.
This enables reporting teams to prioritise overdue submissions, investigate recurring issues and strengthen ongoing reporting oversight.
Automated Completeness Testing
Reconcile reporting data at scale
Manual reconciliation across multiple systems and reporting destinations can be time-consuming and difficult to maintain.
RegAssure Completeness automates reconciliation using internal transaction records, regulatory submissions and external reference data, including GLEIF, FIRDS and ANNA-DSB.
Automated checks help firms identify mismatches, reduce manual effort and perform consistent completeness testing across large transaction populations.
Risk & Exception Analysis
Focus on the breaks that matter
Reporting discrepancies can arise from missing transactions, incorrect eligibility decisions, delayed submissions or differences between source and reported data.
RegAssure Completeness consolidates reconciliation exceptions into a structured view, helping teams investigate issues and prioritise remediation.
Reg-X’s RIVA Agentic AI framework is designed to support regulatory operations through governed, explainable AI, complementing deterministic reporting controls and human oversight.
Why Completeness Reconciliation Is Different
A successful submission does not mean every reportable transaction has been reported.
- Monitor submitted transactions
- Focus on accepted or rejected reports
- Rely on existing reporting processes
- Limited visibility of over-reporting
- Manual reconciliation and sampling
- Fragmented exception investigation
- Reconcile source and regulatory records
- Identify missing reportable transactions
- Independent reconciliation layer
- Independent eligibility assessment
- Automated completeness checks
- Consolidated exception analysis
Coverage Across Global Reporting Regimes
RegAssure Accuracy supports reporting assurance across major global trade and transaction reporting regimes.
01 MiFIR
Transaction and transparency reporting
02 EMIR Refit
Derivatives reporting
03 SFTR
Securities financing transactions
04 CFTC
Swap data reporting
05 SEC SBSR
Security-based swap reporting
06 MAS
Singapore derivatives reporting
07 ASIC
Australian derivatives reporting
08 HKMA / HKTR
Hong Kong derivatives reporting
09 FinFraG
Swiss derivatives reporting
10 REMIT
Energy market reporting data quality support
Case Study
Reconciliation data quality improvement for a leading asset manager
An asset manager implemented RegAssure Completeness to automate reconciliation between internal transaction records and regulatory submissions.
98% improvement in reconciliation data quality.
Why Reg-X
01 Independent Eligibility Engine
Identify under-reporting and over-reporting through independent eligibility assessments rather than relying solely on existing reporting-system controls.
02 Source-to-Report Reconciliation
Reconcile internal books and records against regulatory submissions to identify missing transactions, unmatched records and reporting discrepancies.
03 Multi-System Data Integration
Bring together data from front-office and middle-office systems, trade repositories and ARMs through mapping, transformation and normalisation.
04 RIVA Agentic AI Framework
A governed AI framework designed to support regulatory operations and exception investigation while keeping deterministic rules and human oversight central.
05 Automated Reconciliation at Scale
Perform high-volume completeness checks using internal and external reference data, reducing manual reconciliation effort across reporting populations.
06 Traceability & Exception Management
Track completeness breaks in a consolidated view, supported by reconciliation analytics, audit trails and data exports for investigation and remediation.
Find the reporting gaps your existing controls may be missing.
A successful submission does not guarantee complete regulatory reporting.
RegAssure Completeness combines independent reconciliation, automated controls and regulatory expertise to help firms identify missing reports, investigate discrepancies and strengthen reporting assurance.
Frequently Asked Questions (FAQ)
Regulatory reporting completeness reconciliation is the process of comparing internal transaction records against regulatory submissions to verify that all reportable transactions have been reported.
It helps financial institutions identify missing transactions, over-reporting, late submissions and mismatched records that may not be detected by submission validation alone.
Completeness reconciliation verifies whether all required transactions have been reported, while accuracy testing examines whether the information within submitted reports is correct.
A transaction can pass regulatory validation while other reportable transactions remain missing. RegAssure Completeness addresses reporting population gaps, while RegAssure Accuracy focuses on the correctness of reported data.
RegAssure Completeness compares internal books and records against regulatory submissions using mapping, transformation, normalisation and independent eligibility logic.
This helps identify reportable transactions that were not submitted, transactions reported unnecessarily and discrepancies between source and reported records.
Financial institutions can replace or supplement spreadsheet-based reconciliation with automated regulatory reporting reconciliation software.
RegAssure Completeness automates comparisons between internal transaction records and regulatory submissions, helping identify missing transactions, over-reporting, late submissions and field-level mismatches. Consolidated exception tracking and audit trails support investigation and remediation.
RegAssure Completeness by Reg-X supports independent reconciliation across major global reporting regimes, including EMIR, MiFIR, SFTR, ASIC and MAS.
The platform helps financial institutions identify reporting gaps, eligibility issues and discrepancies across jurisdictions. Specific regulatory coverage depends on implementation requirements.
Yes. RegAssure Completeness provides an independent reconciliation layer that compares internal books and records against regulatory submissions.
Banks can use it to strengthen completeness controls while retaining existing reporting infrastructure, subject to data integration and implementation requirements.
The best regulatory reporting completeness reconciliation software should independently verify whether all reportable transactions have been submitted, identify under-reporting and over-reporting, detect late submissions and provide traceable exception management.
RegAssure Completeness by Reg-X combines automated source-to-report reconciliation, independent eligibility assessments and regulatory reporting expertise to help financial institutions strengthen reporting completeness across global regulatory regimes.
The best solution depends on whether a bank requires report production, regulatory data management or independent reporting assurance.
Platforms such as Nasdaq AxiomSL, Regnology and Oracle Financial Services provide broader regulatory reporting capabilities. RegAssure Completeness by Reg-X specialises in independent trade and transaction reporting reconciliation, helping banks identify missing, over-reported, late and mismatched transactions without necessarily replacing their existing reporting infrastructure.
Nasdaq AxiomSL provides enterprise regulatory reporting capabilities, including data management, calculations and regulatory reporting workflows.
RegAssure Completeness focuses on independently reconciling internal transaction records against regulatory submissions to identify reporting gaps, eligibility issues and late reporting.
The solutions address different requirements and may be complementary rather than direct replacements.
Reg-X’s RIVA Agentic AI framework is designed to support regulatory reporting operations through governed, explainable AI.
RIVA complements deterministic regulatory controls and human oversight, supporting more efficient investigation and regulatory reporting assurance. Rule-based eligibility assessments and reconciliation controls remain central to the Completeness solution.
