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Success stories
Reinventing Healthcare Customer Service with AI Chatbot IQ
How SWICA Improved Efficiency, Customer Satisfaction, and Innovation with Enterprise Bot’s AI Solution
About SWICA
SWICA is one of Switzerland’s leading health insurers, serving over 1.6 million insured customers and 31,000 corporate clients. SWICA is a major player in the healthcare sector. Known for its exceptional customer satisfaction ratings, SWICA is committed to leveraging digital innovation to enhance customer experience.
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Client: SWICA
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Solution: AI-Powered Chatbot IQ
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Objective: Improve customer service efficiency, reduce live-agent workload, and enhance customer engagement
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The Challenge
As a leading Swiss health insurer, SWICA faced several key challenges common to the industry:
High volumes of customer inquiries regarding claims, policy details, and healthcare services
Extended response times during peak periods
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Increased demand for 24/7 customer support to provide immediate answers outside traditional business hours
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with a request body that specifies how to map the columns of your import file to the associated CRM properties in HubSpot.... In the request JSON, define the import file details, including mapping the spreadsheet's columns to HubSpot data. Your request JSON should include the following fields:... entry for each column.
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The solution
Chatbot IQ – A GenAI Digital Assistant
Chatbot IQ was designed to tackle SWICA’s challenges with advanced features such as:
ERA Customer Support Bot
ERA Customer Support Bot
- 24/7/365 availability to ensure customers always have support
- Intelligent natural language understanding for accurate and personalized responses
- Seamless integration with BSI’s software to enable smooth customer service workflows
- Powered by Azure OpenAI, ensuring a scalable, secure, and high-performance platform
- Continuous learning capabilities, allowing the chatbot to improve over time
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with a request body that specifies how to map the columns of your import file to the associated CRM properties in HubSpot.... In the request JSON, define the import file details, including mapping the spreadsheet's columns to HubSpot data. Your request JSON should include the following fields:... entry for each column.
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with a request body that specifies how to map the columns of your import file to the associated CRM properties in HubSpot.... In the request JSON, define the import file details, including mapping the spreadsheet's columns to HubSpot data. Your request JSON should include the following fields:... entry for each column.
Testimonial
What our customer says
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Enterprise Bot's Chatbot IQ, we have integrated AI into the end-customer process and initiated a technological paradigm shift. The chatbot delivers high-quality and fully traceable results through machine learning—a clear advantage over rigid rule-based systems. The collaboration with Enterprise Bot impressively demonstrates that, thanks to technology and strong partnerships, we can truly make a difference in healthcare.
Fabian Ringwald
Chief Information Officer
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with a request body that specifies how to map the columns of your import file to the associated CRM properties in HubSpot.... In the request JSON, define the import file details, including mapping the spreadsheet's columns to HubSpot data. Your request JSON should include the following fields:... entry for each column.
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Future Outlook
SWICA continues to enhance Chatbot IQ by:
Future Outlook
SWICA continues to enhance Chatbot IQ by:
- Expanding its capabilities to manage complex customer inquiries
- Increasing multilingual support to serve Switzerland’s diverse population
- Exploring proactive customer engagement via personalized health recommendations
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with a request body that specifies how to map the columns of your import file to the associated CRM properties in HubSpot.... In the request JSON, define the import file details, including mapping the spreadsheet's columns to HubSpot data. Your request JSON should include the following fields:... entry for each column.
Ready for the future of customer
interaction ?
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