Who should use the Regulatory Reporting workflow?
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Business
Practical execution plan for regulatory reporting with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A closed-loop process with reconciled data, a stakeholder summary, and an improved playbook for the next cycle.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A closed-loop process with reconciled data, a stakeholder summary, and an improved playbook for the next cycle.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Adverity to a single, validated dataset ready for report generation, with all errors logged and resolved. Then, you pass the output to Alyne (by Mitratech) to a fully configured mapping that transforms raw data into the exact structure and format required by the regulator. Then, you pass the output to Avalara to a complete draft of the regulatory report with all calculated fields populated and cross-references balanced. Then, you pass the output to DataSnipper to a reviewed and corrected report that passes all internal quality gates and is ready for submission. Then, you pass the output to Clear to successful submission confirmed by the regulator, with a complete audit trail preserved. Finally, DQLabs is used to a closed-loop process with reconciled data, a stakeholder summary, and an improved playbook for the next cycle.
Data Aggregation and Validation
A single, validated dataset ready for report generation, with all errors logged and resolved.
Regulatory Logic Mapping
A fully configured mapping that transforms raw data into the exact structure and format required by the regulator.
Report Generation and Calculation
A complete draft of the regulatory report with all calculated fields populated and cross-references balanced.
Quality Review and Remediation
A reviewed and corrected report that passes all internal quality gates and is ready for submission.
Submission and Archival
Successful submission confirmed by the regulator, with a complete audit trail preserved.
Post-Submission Reconciliation and Reporting
A closed-loop process with reconciled data, a stakeholder summary, and an improved playbook for the next cycle.
Collect raw data from all relevant internal systems (e.g., ERP, CRM, transaction logs) and external sources (e.g., market data feeds). Validate completeness, accuracy, and timeliness against source records to ensure the data is fit for regulatory use.
Why Adverity: Adverity specializes in multi-channel data aggregation and data transformation/normalization, which directly addresses the data integration and validation needs of this step.
Map the validated data fields to the specific reporting templates and calculation rules required by the target regulator (e.g., SEC, ESMA, FINRA). This step ensures that every data element is correctly positioned and transformed per the regulation.
Why Alyne (by Mitratech): Alyne (by Mitratech) offers automated regulatory mapping, which directly matches the need for regulatory logic mapping.
Execute the mapping and rules against the validated data to produce the draft regulatory reports. This includes running all calculations, aggregations, and cross-references to generate the initial output files.
Why Avalara: Avalara specializes in real-time tax calculation and automated tax return filing, which aligns with report generation and calculation needs for regulatory reporting.
Subject the draft report to a structured review process—automated checks, peer review, and compliance sign-off. Fix any errors or gaps before finalization.
Why DataSnipper: DataSnipper provides vouching, tracing, and financial statement procedures, directly supporting quality review and remediation in regulatory reporting.
Submit the final report to the regulatory authority via the designated filing system (e.g., SEC EDGAR, ESMA filing portal). Archive all supporting documentation for audit trail and future reference.
Why Clear: Clear provides automated ITR filing, GST reconciliation, and e-invoicing generation, which directly supports submission and archival for regulatory filings.
After submission, reconcile the filed report against internal records and generate a summary for stakeholders. This step closes the loop and informs future cycles.
Why DQLabs: DQLabs monitors data pipeline health, detects anomalies, and enforces data quality rules, which supports post-submission reconciliation and reporting.
§ Before you start
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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