ALL CASE STUDIES
AI Agent
Anomaly Detection
ChatLLM
Forecasting and Planning
Personalization AI
Predictive Modeling
CHATLLM
Leading Health Insurance Provider
Used Abacus.AI ChatLLM to quickly answer complex insurance claims related queries from customers
Problem
Company wanted to automate and improve accurate handling of claims
Solution
Created Abacus.AI chatLLM with context on hundreds of documents across tens of distinct problem areas to instantly answer customer specific queries on any health policy
Results
Reduced claims processing time by 90%
Extracted and cleaned text from thousands documents
Processed 1m+ claims received per week
Saved millions of dollars by automating and reducing claims processing time by 90%
CHATLLM
National Personal Injury Attorney
The company used Abacus.AI to identify key pieces of information from customer call transcripts and classify them
Problem
Used Abacus.AI to automate the creation of claimant-specific demand letters through AI agent
Solution
Company wanted to automate and streamline the labor intensive process of creating claimant demand letters, including data entry and state judicial document review
Results
Achieved 99% accuracy in classifying, saving multiple hours of human effort
All sensitive data secured safely
Ingested thousands of demand letters, depositions and positions to optimize output
Saved $1M+ by reducing demand document creation time by 60%
AI AGENT
National Property Insurer
Used Abacus.AI to create DataLLM for all customer insurance policies
Problem
Company wanted to be able to search all insurance policies by various data fields
Solution
Used Abacus.AI data LLM to index and enable search on all policies
Results
Saved millions of dollars in support agent time and improved customer satisfaction scores
Millions of documents processed
20 searchable fields
Hours saved in daily support time