At an institution like Northern Trust — managing global client portfolios across securities, pricing, and expense transactions — unresolved financial exceptions don't stay small for long. Each unresolved exception represents a discrepancy that can affect client reporting, compliance obligations, and ultimately the trust of institutional clients.
Sapot Systems worked within Northern Trust's accounting operations to analyze, categorize, and resolve exceptions across pricing, expense, and securities transaction data for global client portfolios. The team used Python and advanced analytics tooling to build automated pipelines that identified exceptions, matched them against known resolution patterns, and routed them to the appropriate workflow — dramatically reducing the manual effort that the operations team had been absorbing.
The results: reconciliation errors decreased by 35%, manual exception-handling effort dropped by 50% through automation, and reporting accuracy for both front-office and compliance stakeholders improved measurably across the 12-month engagement.
Why this matters for federal work: Federal financial management — grant reconciliation, payment integrity, appropriations tracking — faces the same structural challenge: large transaction volumes, complex matching rules, and regulatory reporting obligations. The data engineering and exception automation disciplines from this engagement translate directly to federal financial program environments.
Resolving high-stakes financial exceptions across global client portfolios under institutional compliance scrutiny.
Sapot Systems analyzed and resolved financial exceptions across pricing, expense, and securities transactions for global client portfolios at one of the world’s most respected institutional asset managers. Using Python and advanced analytics tooling, we improved reconciliation accuracy, automated exception workflows, and enhanced reporting integrity for both front-office and compliance teams.
Engagement details: Team: 3 engineers · Duration: 12 months · Environment: Institutional financial, global portfolios
What we delivered:
- Financial exception analysis and resolution across pricing, expense, and securities transactions
- Python-based analytics tooling for exception identification and workflow automation
- Enhanced reporting accuracy for front-office and compliance stakeholders
- Automated exception workflows reducing manual processing burden
Results:
35%reduction in reconciliation errors50%reduction in manual effort via automated exception workflows- Improved reporting accuracy for compliance teams
