Regulatory Report Definition
The specification for each required regulatory filing — containing report template, data field mappings, calculation rules, validation checks, filing frequency, submission deadlines, and the regulator contact information for questions or amendments.
Why This Object Matters for AI
AI cannot automate report generation without explicit report specifications; without them, every filing period requires senior staff to re-derive data mappings and calculation logic from scratch.
Compliance & Regulatory Reporting Capacity Profile
Typical CMC levels for compliance & regulatory reporting in Financial Services organizations.
CMC Dimension Scenarios
What each CMC level looks like specifically for Regulatory Report Definition. Baseline level is highlighted.
Regulatory report definitions maintained as informal notes in analyst notebooks or email threads describing data elements, calculation logic, and filing schedules with no standardized template or version control.
None — report requirements documented in free-form text or Word documents; reporting team rebuilds calculation logic from scratch each filing cycle, relying on institutional memory and prior submissions.
Adopt standardized report definition template capturing report name, regulatory citation (Form 10-Q/FINRA FOCUS/EMIR TR), filing frequency, submission deadline calculation, required fields, and responsible preparer in consistent document structure.
Each regulatory report documented in standard template file capturing report ID, regulatory citation (SEC Form PF/MiFID transaction reporting/Basel III liquidity), filing frequency (daily/monthly/quarterly), deadline formula, and list of required fields with brief descriptions.
None — report definitions maintained as Word documents or spreadsheets; calculation logic and field mapping described in prose, requiring manual interpretation by reporting team to generate submissions.
Migrate report definitions to structured database schema with separate tables for report header (ID/citation/frequency/deadline), field specifications (field name/type/source system/calculation formula), and validation rules (range checks/cross-field logic/threshold alerts), enabling programmatic access to report requirements.
Report definition database stores structured metadata for each regulatory filing: report header with citation and filing schedule, field specifications with field names, types, source system mappings, and calculation formulas expressed in structured syntax, plus validation rules defining range checks and cross-field consistency logic.
None — reporting team manually authors field calculation formulas and validation rules as structured expressions; no automated enforcement of formula syntax or validation that specified source systems and fields exist.
Implement schema validation that enforces formula syntax rules (e.g., calculation expressions must reference valid field names, aggregation functions use correct argument types), validates source system references against enterprise data catalog, and checks that deadline calculation formulas produce valid future dates before allowing report definition save.
Report definition database enforces schema constraints: calculation formulas must parse as valid expressions referencing defined field names, source system mappings validated against data catalog ensuring referenced tables and columns exist, filing deadline formulas checked to confirm they generate future dates, and cross-field validation rules verified for logical consistency before report definition activation.
Limited — validation ensures report definition is syntactically correct and references exist, but reporting team still manually authors all calculation formulas and field mappings by hand; no automation to generate draft report definitions from regulatory filing schemas.
Integrate regulatory filing schema repositories (SEC EDGAR XSD, ESMA transaction reporting XML schema, CFTC swap data formats) that auto-generate draft report definitions with pre-populated field names, types, and structural validation rules; reporting analyst reviews draft, maps fields to source systems, adds calculation logic, and approves for production use.
When new regulatory filing requirement published, system ingests official schema (SEC EDGAR XSD/ESMA XML template/CFTC reporting spec) and auto-generates draft report definition with pre-populated field names, types, cardinality, and structural validation rules extracted from schema; reporting analyst maps fields to firm's source systems, authors calculation formulas for derived fields, and configures business validation rules before activating definition for production reporting.
Moderate — draft report definitions auto-generated from regulatory schemas, reducing manual field specification effort, but source system mapping and calculation logic still require analyst expertise; no machine learning to recommend mappings based on historical report definitions or similar field names.
Deploy ML model trained on firm's historical report definitions to auto-suggest source system mappings and calculation formulas for new report fields by matching field names, types, and regulatory context to previously defined similar fields; analyst reviews and approves AI-recommended mappings, with system learning from corrections to improve future suggestion accuracy.
Regulatory reporting platform monitors SEC, ESMA, and CFTC schema repositories for new filing requirements; when new report schema published, system auto-generates draft report definition with field specifications extracted from official XSD/XML, then applies ML model trained on firm's historical report definitions to recommend source system mappings and calculation formulas based on field name similarity, regulatory context, and past analyst decisions; reporting analyst reviews AI-generated definition, validates mappings, refines calculation logic, and approves for production, with system learning from edits to improve future auto-generation quality; platform enforces schema validation, referential integrity, and deadline logic constraints throughout definition lifecycle.
Extensive — machine learning automates field extraction from regulatory schemas and recommends source mappings and formulas, reducing manual authoring effort; human review ensures calculation logic aligns with firm's accounting policies and source system nuances.
Ceiling of the CMC framework for this dimension.
Capabilities That Depend on Regulatory Report Definition
Other Objects in Compliance & Regulatory Reporting
Related business objects in the same function area.
Regulatory Requirement Register
EntityThe structured inventory of all applicable regulations and their requirements — containing regulation identifiers, jurisdictions, effective dates, compliance obligations, control mappings, and the change tracking that monitors regulatory updates and their impact on the organization.
Surveillance Alert
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Suitability Assessment
EntityThe documented evaluation of whether a product or recommendation is appropriate for a specific client — containing client risk profile, investment objectives, product characteristics, rationale for suitability, and the compliance sign-off that demonstrates best interest was served.
Regulatory Exam Case
EntityThe tracking record for each regulatory examination — containing exam scope, document requests, response status, findings, remediation commitments, and the timeline that ensures all requests are addressed before deadlines.
Privacy Consent Record
EntityThe managed record of each client's privacy preferences and consents — containing consent type, grant/revoke dates, data usage purposes consented to, and the audit trail that demonstrates compliance with GDPR, CCPA, and other privacy regulations.
Compliance Risk Assessment
DecisionThe periodic evaluation of compliance risks across business activities — assessing inherent risk, control effectiveness, residual risk, and the prioritization that determines where compliance resources should focus their monitoring and testing efforts.
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