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Case study

Conversational AI for a Spanish Insurance Firm

Challenges

The client was experiencing growing customer service challenges as policyholder expectations shifted toward digital, on-demand experiences while their traditional call center model struggled to adapt. Their existing service approach was creating both customer satisfaction issues and operational inefficiencies.

 

  • Limited Service Availability: Service was restricted to business hours (9 am-6 pm weekdays), forcing customers to wait for answers to basic questions and creating significant Monday morning call volumes.
  • Agent Productivity Challenges: Service representatives spent 65% of their time on routine inquiries (policy details, billing questions, claim status) rather than value-added
    assistance.
  • Multi-Channel Fragmentation: Customer communications arrived through disconnected channels (phone, email, website forms) with inconsistent response times and no unified conversation history.

Aspagnul Solution

Aspagnul developed a comprehensive conversational AI system designed for insurance operations and trained on the client’s specific products, policies, and procedures. The solution is integrated across digital channels while maintaining seamless handoff to human agents for complex scenarios.

 

  • Insurance-Specific Language Understanding: Custom natural language processing models were trained on insurance terminology, policy documentation, and thousands of historical customer interactions to ensure accurate comprehension of insurance-specific inquiries.
  • Omnichannel Implementation: Conversational capabilities are deployed consistently across website chat, WhatsApp, mobile app, and SMS channels, providing a unified customer experience regardless of contact method.
  • Agent Augmentation Focus: The system was designed to handle routine inquiries while enhancing agent capabilities through real-time assistance during complex conversations rather than replacing human service.

Timeline & Process

1
Week 1-2: Conversation Analysis & Design

Comprehensive evaluation of historical customer interactions, service patterns, and product details to develop conversation architecture and training approach.

2
Weeks 3-5: Initial Development & Training

Implementation of core conversational capabilities and initial training using the client's historical service data, policy information, and procedural documentation.

3
Week 6-7: Channel Integration & Agent Tools

Connection with customer-facing channels and development of agent assistance capabilities with feedback from service team representatives.

4
Week 8-9: Testing & Refinement

Comprehensive testing across conversation scenarios, channels, and customer profiles with continuous improvement based on results.

5
Week 10-12: Phased Deployment

Staged implementation starting with website chat, then expanding to additional channels with ongoing performance monitoring and optimization.

Integration Approach

The conversational AI system is connected to the client’s technology ecosystem through multiple integration points. A secure API layer established bidirectional communication with the core policy management system to access customer information, coverage details, and billing status. Custom connectorsare linked with the claims management platform to provide real-time status updates and basic claims functionality.

The solution implemented webhook-based integration with the existing contact center platform for seamless conversation handoff when human intervention was required. A unified customer profile API maintains consistent context across multiple conversation sessions and channels.

All integrations implemented role-based access controls and end-to-end encryption to maintain data security throughout the conversation lifecycle.

Compliance Considerations

The solution addressed multiple regulatory frameworks essential for insurance operations in Spain:

General Data Protection Regulation (GDPR)

Implemented appropriate consent management, data minimization, and purpose limitation with comprehensive documentation of processing activities.

Insurance Distribution Directive (IDD)

Ensured appropriate disclosures and limitations when providing product information and maintained clear escalation paths for advice scenarios.

Directorate General of Insurance (DGS) Requirements

Satisfied Spanish insurance regulator expectations regarding customer communications, complaint handling, and record-keeping.

Spanish Insurance Contract Law

Maintained compliance with legal requirements for policy information, notifications, and customer communications.

ePrivacy Regulations

Ensured proper handling of electronic communications and appropriate consent for channel usage.

Results

The implementation delivered substantial improvements across customer experience, operational efficiency, and business capabilities:

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Customer Service Enhancement:

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Operational Efficiency:

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Agent Performance:

Client Impact

The conversational AI solution transformed the insurance company’s service model from a business-hours-only operation to an always-available digital experience without sacrificing the personal touch that differentiated their brand. This enhancement significantly improved their competitive position against digital-first insurers while maintaining their traditional strengths in personal relationships.


The dramatic improvement in basic service metrics enabled the company to reposition its human agents as valued advisors rather than transaction processors, strengthening customer relationships despite increased automation. Operationally, the solution allowed the company to accommodate 35% growth in policy volume over the following 18 months without corresponding increases in service staff, creating sustainable economics for their expansion plans.


Based on this success, the client subsequently expanded their engagement with Aspagnul to implement AI enhancements to their underwriting and claims processes, citing both the measurable performance improvements and the smooth implementation experience of the conversational AI project.