AI-Powered Data Governance for a Government Health Agency

A leading government health agency managing billions in research funding needed a more efficient and accurate way to classify and manage its vast data repository. With over 4.5 million legacy documents, manual records sentencing was slow and costly. By implementing Castlepoint’s AI-driven records management, the agency drastically improved classification speed, accuracy, and compliance.

The Challenge

As a peak funding body for medical research, the agency captures and manages vast amounts of data, requiring seamless interlinking across systems and decades of updates. Previous manual classification efforts had taken two years to process just 1.2 million documents with only 25% accuracy. A faster, more precise, and cost-effective solution was essential.

The Solution

The agency implemented Castlepoint for AI-powered records management, achieving:

  • 100% accuracy in records sentencing (compared to 25% with manual efforts)
  • 97.5% savings in eDiscovery costs
  • 99.8% savings in reporting and auditing
  • 98.5% reduction in records sentencing and disposal costs
  • Significant cost reduction in identifying redundant records

Castlepoint classified the entire data set in under a month, delivering rapid ROI and enabling compliance with international health data classifications.

The Outcome

By leveraging Castlepoint’s AI-driven governance, the agency cut eDiscovery costs from $401,535 to $10,018 per year, reduced records disposition costs from $1,867 to $27 per action, and significantly streamlined compliance and reporting processes.

"Castlepoint’s AI-powered records management delivered unparalleled efficiency and accuracy, allowing the agency to focus on its core mission, supporting groundbreaking medical research."
Rachael Greaves, CEO, Castlepoint

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