Case Study: Leading Insure Tech Organization boosts qualified leads with Floatbot Conversational AI

A Floatbot Case Study

Preview of the Leading Insure Tech Organization Case Study

Conversational AI for Insurance Clients in Singapore

Leading Insure Tech Organization partnered with Floatbot to improve outbound lead generation for insurance clients in Singapore. Their contact center team needed to make thousands of calls, qualify prospects with pre-screening questions, and handle unique customer needs, but manual calling was slow, tedious, and difficult to scale. They also needed strong speech-to-text support for Singaporean English.

Floatbot implemented an AI-powered conversational voicebot using its no-code bot builder, pre-trained insurance NLP models, and customized speech-to-text tuning. The solution automated outbound calls, lead qualification, onboarding, personalized insurance responses, and payment integration, while also providing funnel analytics to optimize drop-off points. Floatbot’s platform delivered 40% higher ASR accuracy than Google Dialogflow for Singapore English, 7X higher GPU throughput, 10X faster model development, and business gains including 150% higher digital sales, 40% lower support costs, 35% of total qualified leads generated, and a 15% improvement in conversions.


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Leading Insure Tech Organization

Amanda Lim

Strategic Alliances Leader


Floatbot

4 Case Studies