Introduction
Regulatory reporting requirements are becoming more complex, and financial institutions are under increasing pressure to ensure the accuracy, consistency and timeliness of their XBRL filings. Structured XBRL data is essential for regulatory frameworks such as COREP, FINREP, AnaCredit, and other supervisory reporting requirements to allow for automated validation and regulatory oversight.
While a lot of organisations are still using manual XBRL tagging processes, the method often exposes them to avoidable risk. A single tagging error, inconsistency in the mapping, or lack of validation can lead to rejected submissions, delayed reporting and costly rework.
This is where integrated validations make a critical difference. Organisations can integrate validation checks into the reporting workflow itself to identify and correct errors before submission, which can greatly improve the accuracy of filings and operational efficiency. In this blog, we discuss the limitations of manual XBRL tagging and why integrated validations have become imperative for error-free regulatory filings.
The Pitfalls of Manual XBRL Tagging
XBRL has become a widely adopted technology for regulatory reporting, but many financial institutions still tag manually. Such an approach may be acceptable for smaller reporting needs, but as reporting volumes grow and regulations become more complex, the approach becomes increasingly risky.
- Human Errors are Inevitable
Manual XBRL tagging means the reporting teams are mapping financial data to the appropriate elements of the taxonomy. A simple error, like picking the wrong tag, using the wrong data type, or forgetting to include a required disclosure, is enough to cause validation failures and rejected submissions. - Regulatory Taxonomies are Hard to Manage
Regulatory taxonomies are regularly updated to reflect new reporting requirements. Staying abreast of modifications made by supervisory authorities, as well as making sure that every data point is tagged properly, can be time consuming and error-prone exercise when managed manually. - Mistakes Are Often Found Too Late
In traditional reporting workflows, validation checks are usually only done after the XBRL report has been prepared. This often means problems arise at the last minute of submission, giving reporting teams little time to investigate, correct and resubmit filings. - Further Rework and Compliance Risk
Late error identification in the reporting cycle means additional review cycles, manual corrections and potential filing delays for organisations. In addition to the operational inefficiencies, repeated validation failures can create compliance risks and invite unwanted regulatory scrutiny.
The regulatory reporting landscape is growing more complex and so financial institutions must take a more proactive stance of catching errors before submission, not after. This is where integrated validations become crucial.
How Integrated Validations Help Prevent Manual XBRL Tagging Errors
Integrated validation is a revolutionary shift in compliance technology. It is the practice of automatically running complex regulatory, mathematical and logical checks as financial data is being processed, not a final diagnostic scan.
Main benefits of integrated validations in IRIS iDEAL
- Early Error Detection: Detect and fix errors before report generation and submission.
- Automated Regulatory Compliance: Ensure your filings are compliant with the latest taxonomy structures and regulatory validation rules.
- Less Manual Review Effort: Reduce dependence on manual quality checks and reconciliations that require extensive review.
- Enhanced filing accuracy: Increase first time right submissions.
- Shorter reporting periods: Accelerate regulatory reporting cycles and eliminate endless correction loops.
Organisations can transition from a reactive error correction approach to proactive compliance management by integrating validation into the process, rather than treating it as a post-reporting activity, leading to better efficiency and reporting quality.
Integrated Validations: The Foundation of Error-Free Filings
Accuracy isn’t just a best practice in today’s regulatory environment – it’s a requirement. With reporting frameworks becoming more complex and filing timelines shrinking, organisations need mechanisms that can identify issues before they become compliance risks. Integrated validations give you that foundation.
Financial institutions that validate data throughout the reporting lifecycle can have confidence that reports are meeting regulatory expectations long before they are submitted. Automated checks ensure data consistency, completeness, business rule conformance and XBRL taxonomy compliance reducing the risk of filing errors and validation failures.
The benefits extend beyond compliance. Integrated validations help reporting teams spend less time on manual reviews, reduce rework, and accelerate report preparation cycles. More importantly, they create a transparent and auditable reporting process, enabling organizations to confidently demonstrate data accuracy to regulators and internal stakeholders alike.
For institutions striving to achieve first-time-right regulatory reporting, integrated validations are no longer optional. They have become a critical capability for delivering accurate, compliant, and timely XBRL filings at scale.
IRIS iDEAL vs. Manual Tagging: How Automation Enables
IRIS iDEAL is a regulatory compliance reporting engine that acts as an automated data transformation bridge. The platform utilises a one-time data mapping strategy, so users do not need to re-tag reports quarter after quarter. The financial data in a central database repository of an organization is transformed instantly into compliant XBRLcsv format, following pre-configured taxonomy rules.
Manual Regulatory Reporting Process
- Understanding Regulatory Requirements: Teams begin by interpreting applicable regulations, reporting templates, validation rules, and the latest taxonomy updates.
- Data Collection from Multiple Systems: Required data is gathered from disparate sources such as core banking, general ledger, treasury, and risk systems, often involving extensive spreadsheet-based consolidation.
- Data Cleansing & Reconciliation: Collected data is manually cleaned, reconciled, and validated to identify inconsistencies, missing values, and calculation errors.
- Regulatory Calculations & Report Preparation: Reporting teams perform complex regulatory calculations, populate reporting templates, and manually apply XBRL tags where required.
- Internal Reviews & Validation: Multiple rounds of reviews, approvals, and validation checks are conducted to ensure data accuracy and compliance before submission.
- Final Submission & Error Resolution: Reports are converted into regulator-prescribed formats, submitted to authorities, and any rejections or post-submission queries are manually addressed.
This fragmented, manual process consumes significant time and resources, increases the risk of errors, and makes it difficult for institutions to adapt quickly to evolving regulatory requirements.
Automated Regulatory Reporting Process
- Automated Data Integration & Consolidation: The platform seamlessly connects with multiple source systems, automatically extracting, standardizing, and consolidating data into a single source of truth.
- Built-in Data Quality & Validation Checks: Automated checks identify data inconsistencies, missing values, and potential errors early in the reporting process.
- Automated Regulatory Calculations & Report Generation: Regulatory calculations are performed automatically based on the latest rules and frameworks, with accurate data populated into the required reporting templates.
- Automated XBRL Tagging & Compliance Checks: The platform applies the correct XBRL taxonomy tags and performs integrated validations to ensure filing readiness.
- Streamlined Review & Approval Workflows: Complete audit trails, version control, and workflow management simplify internal collaboration, reviews, and approvals.
- Seamless Submission & Continuous Compliance: Reports are generated in regulator-prescribed formats, reducing submission errors and enabling faster adaptation to evolving regulatory requirements.
Automation eliminates repetitive manual tasks, reduces reporting cycles, improves accuracy and transparency, and enables compliance teams to focus on higher-value analysis and strategic decision-making.
| Feature | Manual XBRL Tagging | IRIS iDEAL (Integrated Automation) |
| Error Detection | Issues identified during final review or submission | Errors detected throughout the reporting process |
| Validation Checks | Performed manually or through separate tools | Built-in automated validation |
| Regulatory Updates | Requires manual monitoring and implementation | Supports evolving regulatory requirements and filing rules |
| Data Flow & Architecture | Relies on manual copying-pasting and tagging across disparate spreadsheets | End-to-End ETL (extract,transform,load) integration |
| Risk of Portal Rejection | High as late-stage manual adjustments frequently cause failure | Extremely Low as Built-in validation matches exactly against the regulator business rules prior to file finalization |
| Audit Trails & Logs | Hard to accurately track who changes specific numbers, cell links or individual tags across drafts | Fully automated audit history logging every single change, data source update and approval. |
Conclusion
As regulatory reporting requirements continue to evolve, relying on manual XBRL tagging is becoming increasingly unsustainable. The growing complexity of taxonomies, validation rules, and reporting obligations leaves little room for error, making accuracy and efficiency critical to successful compliance.
Integrated validations address these challenges by identifying issues early, reducing manual effort, and ensuring that filings meet regulatory expectations before submission. Rather than spending valuable time correcting errors at the final stage, reporting teams can focus on delivering accurate, timely, and compliant reports.
With its built-in validation capabilities, IRIS iDEAL empowers financial institutions to move beyond manual tagging and adopt a more proactive approach to regulatory reporting. The result is faster reporting cycles, improved filing accuracy, and greater confidence in achieving first-time-right submissions.