Explainable Regulatory AI
Regulatory reporting consumes compliance capacity that should be focused on risk.
Financial institutions manage dozens of reporting obligations across multiple regulators simultaneously. Each demands data that is accurate, traceable and updated when rules change. Most teams rely on manual processes that do not scale.
-80%
reduction in compliance team effort per regulatory report
60 to 14
person-days for a complex regulatory report, from first submission to ongoing production
Zero
data migration required. Existing source systems connected without modification.
WHAT IT DELIVERS
From regulator document to governed submission. Automatically.
All requirements and obligations in the regulator’s documentation are identified and structured automatically. The risk of missing an obligation through manual interpretation is eliminated.
A regulatory layer is generated automatically and mapped against existing data sources. Calculation logic and quality rules are derived from that model, not written from scratch. No data is moved or migrated.
End-to-end traceability is built into every step. When the regulator asks a question, the answer with full lineage is available immediately. No reconstruction required.
When the regulator issues new requirements, the model is updated automatically. Existing mappings are adapted rather than rebuilt. Each reporting cycle is faster than the last.
What the organisation gains
01
The manual effort of gathering, reconciling, and formatting data for each report is eliminated. Risk and finance teams focus on reviewing and submitting, not producing.
02
New requirements from the regulator are absorbed through the automated model update process. The institution responds in days. Reporting cycles that required months of preparation converge towards continuous production.
03
Every figure submitted to the regulator has complete lineage behind it. Audit enquiries are answered immediately with traceable evidence. Designed and built in Europe, the platform keeps data within the institution’s governed environment, with no exposure to foreign jurisdiction requests.
From regulator document to governed pipeline in three steps.
The numbers, conservatively phrased
-
–80%
Reduction in compliance team effort
Per regulatory report. Pending BD sign-off for publication.
-
60 to 14
Person-days for a complex regulatory report
From first submission to ongoing production.
-
Zero
Data migration required
Existing source systems connected without modification.
Where Explainable Regulatory AI creates the most impact
DORA requires every reporting system to be resilient and auditable. European provenance is a governance condition, not a preference.
Cross-agency reporting requires consistent data and traceable figures. European data sovereignty is a requirement for public institutions.
CSRD and grid reporting obligations are growing in volume and complexity. Every figure must be traceable to source data with full lineage.
DORA requires every reporting system to be resilient and auditable. European provenance is a governance condition, not a preference.
Cross-agency reporting requires consistent data and traceable figures. European data sovereignty is a requirement for public institutions.
CSRD and grid reporting obligations are growing in volume and complexity. Every figure must be traceable to source data with full lineage.
Ready to turn regulatory reporting into a governed, automated process?
Request a demonstration using your own regulatory obligations. We work with banks and regulated financial institutions across Europe and LATAM.
