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CHATLLM
A financial services firm
The company used Abacus.AI to identify key pieces of information from customer call transcripts and classify them
Problem
The company wants to reduce costs by automating the categorization of calls based on the transcripts
Solution
Used Abacus.AI Named Entity Recognition to automate this process
Results
Achieved 99% accuracy in classifying, saving multiple hours of human effort
Classified call records into 15 classes
Achieved accuracy of 99%
Aggregated over 100 datasets
PREDICTIVE MODELING
Financial Services
The company used Abacus.AI to implement advanced fraud detection capabilities in wire transfers
Problem
A leading financial services company wanted to identify fraud in wire transfers
Solution
Used a supervised model to identify transactions that are fraudulent
Results
Increased fraud detection and improved existing models
Caught 85% of fraud
Improved accuracy of existing models by 30%
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