Risk and Regulatory Reporting Modernization
Modernize the ETL, BI, and legacy code supporting finance, risk, liquidity, and regulatory reporting while preserving calculation logic and traceability.
Hidden Reporting Logic: Modernize Risk and Regulatory Reporting with Full Traceability
Regulatory and risk reporting in banking rarely lives in one place. The calculations a CRO signs off on are spread across ETL workflows, stored procedures, SAS programs, BI reports, and application code — and every rule change starts with weeks of manual impact analysis.
Accelyst recovers that logic automatically, turns it into documented, testable, cloud-ready assets, and proves the new platform produces the same answers as the old one. Your teams move regulated workloads with confidence instead of crossing their fingers at quarter-end.
Market Drivers in Banking & Capital Markets
Why modernization is now a priority for banking & capital markets technology and data leaders.
Traceability pressure
Critical calculations and lineage are distributed across legacy workflows, reports, stored procedures, SAS, and application code.
Slow change cycles
A rule or data-source change requires manual impact analysis across tightly connected pipelines and reports.
Industry Pain Points
The legacy challenges that slow change and raise migration risk.
Hidden reporting logic
Business rules and adjustments are difficult to locate and explain.
Duplicated KPIs
Multiple reports calculate the same measure differently.
Manual reconciliation
Source and target results require time-consuming comparison during migration.
Integrated ETL, BI, and code modernization
Inventory reporting assets; extract rules, mappings, dependencies, lineage, and KPIs; generate cloud-ready data models, code, documentation, and tests; validate outputs through reconciliation and exception reporting.
A Governed, Four-Phase Delivery
AI does the heavy lifting of discovery and generation. Your experts approve every result.
- 01
Discover
Inventory workflows, reports, programs, metadata, and dependencies.
- 02
Reverse Engineer
Recover transformations, calculations, lineage, and application behavior.
- 03
Generate
Produce source-to-target mappings, user stories, target code, semantic models, and test cases.
- 04
Validate
Compare source and target outputs with governed human review checkpoints.
Expected Business Outcomes
What banking & capital markets teams gain from AI-native legacy modernization.
- Faster migration planning and impact analysis
- Preserved reporting logic and stronger traceability
- Reduced manual conversion and reconciliation effort
- Lower risk when moving regulated workloads to modern platforms
Common Questions
What banking & capital markets leaders ask before modernizing legacy platforms.
We inventory the workflows, reports, stored procedures, SAS programs, application code, and metadata that feed finance, risk, liquidity, and regulatory reporting, then map how they depend on one another.
Transformations, calculations, and lineage are recovered from the legacy estate and turned into source-to-target mappings, target code, and test cases. Source and target outputs are then compared through reconciliation and exception reporting.
Validation runs through governed human review checkpoints, so your risk and finance data owners approve results before regulated workloads move to the modern platform.
Explore Other Industries
The same AI-native platform, tailored to the rules and controls of each industry.
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ERP and Operations Modernization
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Program and Case Management Modernization
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