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This project involved building an intelligent automation system to streamline ESG and financial reporting for regulatory submissions. The client’s compliance team was spending excessive manual hours on XBRL tagging and data validation, leading to delays, operational bottlenecks, and high error probability.
Our role was to architect and implement a scalable automation-first solution capable of processing large volumes of financial data with accuracy, audit readiness, and regulatory alignment.
We leveraged API-driven architecture, AI-assisted recommendations, and rules-based validations to automate workflows that previously required days of human effort.
The final solution reduced the reporting cycle drastically while improving transparency, efficiency, and compliance reliability — enabling the client to scale reporting operations without increasing workforce or risk.
Lead development partner for an automated financial data processing and compliance system built for large-scale ESG reporting.
Manual XBRL tagging and ESG data preparation took 40+ hours per report, causing delays and increasing the chances of human-induced compliance errors.
Built an intelligent automation system that reduced processing time by 85% while ensuring 99.7% accuracy in regulatory compliance reports.
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