Discover how ez-ai.nz transformed operations for a New Zealand insurance broker by automating claims processing and customer support, drastically reducing errors and response times.
Our client, a medium-sized insurance broker in New Zealand, was grappling with inefficiencies in their claims processing and customer support operations. Manual data entry, lengthy verification processes, and slow response times were resulting in errors, delayed claims settlements, and unsatisfied customers.
The project objectives were to:
Conducted a comprehensive review of existing claims processing and customer support workflows to pinpoint inefficiencies and error-prone areas.
Integrated natural language processing and machine learning algorithms to automate claims verification, data extraction, and initial customer support interactions.
Deployed AI-powered chatbots and predictive analytics to automate routine queries, reduce data entry errors, and flag potential fraud.
Manual verification and processing of claims led to prolonged turnaround times.
Automated Claims Verification:
Manual entry of claim details resulted in frequent mistakes and delays.
Automated Data Extraction:
Slow response times led to customer frustration and poor service experiences.
AI Chatbot Assistance:
Manual review processes made it difficult to promptly identify and mitigate fraudulent claims.
Predictive Fraud Analytics:
Pre-Automation Total:
180 hours/week
Post-Automation Total:
60 hours/week