Case study
AI-Powered Risk Signal Detection for a Global Insurer
How SquareShift built an AI-driven OCR, NLP, and machine learning pipeline that surfaces emerging risk signals for a global insurance and financial-services group.
The hard part isn't building an OCR-and-NLP pipeline — it's trusting an automated read on a risk signal enough to act on it before a human ever double-checks the source.
AI & Generative AI Practice Lead, SquareShift
One of the world's largest insurers and financial-services groups, serving close to 130 million customers across 70 countries.
Its risk analysts spent thousands of hours manually reviewing medical journals, publications, and social feeds to catch emerging risk signals.
- Automated risk monitoring — replaces manual review of publications, journals, and social feeds.
- ML and NLP-driven signal detection — surfaces emerging risk trends from unstructured text.
- Real-time dashboards — put analyst-ready insights in front of risk teams as they emerge.
How SquareShift delivered it.
The challenge
Hundreds of risk analysts spent thousands of hours manually reviewing medical journals, publications, and social media feeds to catch emerging risk signals before they hit the business. The client needed a way to automate that research without losing the analyst judgment on what actually mattered.
What we delivered
SquareShift built an AI-driven solution that processes and analyzes unstructured text from these sources automatically. A custom OCR engine extracts content from journals and publications, while ML and NLP models gather insights and spot emerging trends across the feed.
The results surface through a real-time dashboard, giving risk analysts a starting point instead of a blank page.
The payoff
Risk analysts spend less time on manual document review and more time acting on the signals that matter. Automated OCR, NLP, and machine learning now do the first pass on unstructured text that used to consume thousands of analyst-hours, with insights delivered through a live dashboard built for decision-making.
Where this work sits