Intelligent Data Mining Agent
Fintech Client
KEY IMPACT
Delivered an automated cross-validation framework that significantly reduces manual fact-checking and improves data freshness and accuracy, and created an adaptive intelligence layer over web data extraction that handles search complexity, blocking conditions, and record updates.
The Challenge
A client had a database of data fields and required an automated mechanism to validate and update those records by cross-checking online sources (including public web sites and intranet sources). They needed the system to intelligently select which fields to validate or update, run flexible search strategies, adapt when blocks or connectivity issues occurred, and notify when updates were found.
Our Solution
Built an intelligent bot/agent capable of navigating public/searchable sources, applying multi-parameter search strategies derived from the given data, replicating the dataset structure as search parameters, and determining the best match for updates. The bot is state-aware: it handles connectivity interruptions, blocking issues, and can switch operational states accordingly. When an update is found, the system writes the updated fields into a new data table preserving the original structure while notifying which fields changed.
Results & Outcomes
Delivered an automated cross-validation framework that significantly reduces manual fact-checking
Improved data freshness and accuracy
Created an adaptive intelligence layer over web data extraction that handles search complexity, blocking conditions, and record updates
Offered a robust data-automation solution
Technologies Used
Ready for Similar Results?
Let's discuss how we can help transform your organisation's data and AI capabilities.
Get Started