Using Maisa Studio, the firm deployed a Maisa Digital Worker to automate tax withholding reconciliation from data ingestion to final validation. Configured with natural language, the Digital Worker integrates with fund systems and counterparties to streamline every step of the process.
Automated Data Ingestion
Reads and parses incoming certificates from counterparties, regardless of format, and organizes them into a structured dataset for reconciliation.
Smart Matching Logic
Applies configurable criteria such as date, amount, and fund ID to match entries across systems with high accuracy.
Discrepancy Identification and Consolidation
Flags unmatched records, consolidates reconciled entries, and generates dynamic reports showing resolved and pending items.
Full Audit Trail
Produces structured outputs, including detailed audit logs and traceable Excel files that meet both internal and external reporting standards.
Incremental Processing
Supports ongoing reconciliation as new certificates are received, reducing bottlenecks and allowing continuous progress throughout the reporting cycle.
With Maisa, reconciliation has evolved from a once-a-year, resource-heavy effort into a continuously monitored process that delivers full visibility and control.
The Results
Accelerated Cycle
Reconciliation time dropped from weeks to days, enabling teams to meet deadlines with ease.
Full Auditability
All transactions are traceable, with clear records for matched and unmatched items across funds and counterparties.
Lower Operational Load
Automation drastically reduced manual effort, freeing specialized staff to focus on analysis and strategic reporting.
Scalable by Design
New funds and counterparties can be added quickly, allowing the system to adapt to future growth without additional development.