Lack of Personalization
All clients were handled the same way, leaving premium customers underserved and routine queries unnecessarily escalated.
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A global insurance provider serving diverse client segments needed a smarter way to manage customer support. From high-net-worth individuals requiring senior-level assistance to routine queries and emergency cases, their teams struggled to prioritize requests, personalize responses, and resolve urgent cases efficiently.
All clients were handled the same way, leaving premium customers underserved and routine queries unnecessarily escalated.
Manual triaging slowed resolution times, especially for urgent scenarios like hospitalization or time-sensitive policy issues.
Agents spent valuable time answering FAQs instead of focusing on high-value or critical cases.
The AI agent identified customer segments - high-value, average, and emergency - and tailored responses accordingly for each client.
Queries were classified automatically by type and urgency, ensuring critical cases were instantly routed to senior support managers.
Routine policy questions were handled immediately using the company’s knowledge base, reducing human workload.
For escalated queries, detailed tickets were generated automatically with client profile, query history, and chat transcripts for faster resolution.
Routine queries were automated, allowing 70–80% of average requests to be resolved without human intervention.
Critical issues were routed instantly, reducing response times for urgent cases by 50%.
Clients received personalized, context-aware responses, reducing follow-ups and improving trust in support services.
Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.
The data resides within the customer's own cloud, ensuring 100% ownership and adherence to data residency requirements.
Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.


