Key Results
- ✓Significant reduction in manual reconciliation effort
- ✓Month-end close shortened by days
- ✓Real-time compliance visibility replacing delayed manual reviews
- ✓High automated matching accuracy across document types
The Challenge
A financial services firm was spending significant manual effort every month reconciling forms and documents across multiple systems. Finance teams were matching records row by row in spreadsheets, chasing missing documentation, and investigating discrepancies — a process that delayed month-end close and consumed full-time resources.
Documents arrived from multiple sources in inconsistent formats, data lived in separate systems with no unified view, and reconciliation bottlenecked the monthly close cycle.
Our Approach
We built an intelligent matching engine that connected the firm's existing systems — automatically ingesting documents from all sources, matching records across formats, and routing exceptions to the right people with full context. The system learns from analyst decisions, improving match accuracy over time.
Results
- The vast majority of records matched automatically without manual intervention
- Manual reconciliation effort dropped significantly
- Month-end close was no longer bottlenecked by reconciliation
- Compliance issues surfaced in real-time instead of weeks after the fact
- Finance teams shifted from data entry to exception analysis and process improvement
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Related Case Studies
- KYC & Onboarding Automation — Another financial services engagement: automated document verification, compliance checking, and case management for customer onboarding.
- Multi-Region Invoice Processing — Similar three-way matching and exception routing approach deployed across multiple manufacturing regions.
Related Industry Insights
- Digital Operations for Consumer Goods — How consumer goods companies apply the same reconciliation intelligence to trade spend and distributor management.
Further Reading
- Form Matching at Scale — The enterprise challenges of reconciliation at scale — and the workflow-first approach to solving them.
- Enterprise AI Without the Rip-and-Replace — How intelligence layers connect existing systems without replacement.
- Our Workflow Automation capabilities — Configurable matching, exception routing, and continuous learning.