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Financial Services Firm

AI-Powered Automation for Compliance Reporting

Replacing a manual, error-prone reporting cycle with an auditable, AI-assisted workflow.

AI-Powered Automation for Compliance Reporting — platform overview

70%

Faster Reporting Cycle

15+

Systems Integrated

0

Compliance Findings Since Launch

Reporting week used to mean all-nighters reconciling spreadsheets across a dozen systems. We helped this firm turn that fire drill into a routine, auditable workflow.

The Challenge

Regulatory reporting depended on analysts manually reconciling data across more than a dozen disconnected systems every reporting cycle. The process was slow, hard to audit, and a single data entry error could trigger a compliance finding.

Our Approach

We implemented an AI-driven automation workflow that consolidates data from every source system into a single reconciled view, uses anomaly detection to flag records that need human review, and auto-generates audit-ready reports with a full data lineage trail.

  • Automated data consolidation across 15+ source systems
  • ML-based anomaly detection for exception review
  • Audit-ready report generation with full data lineage
  • Role-based review & sign-off workflow

Technologies Used

AWS GluePythonAmazon BedrockPostgreSQLMetabase

The Results

The reporting cycle got dramatically faster, analyst hours shifted from manual reconciliation to reviewing flagged exceptions, and the firm has had a clean compliance record since launch.

We used to dread reporting week. Now it's a review step, not a fire drill.

Head of Compliance, Financial Services Firm client

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