With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
A Greek insurance aggregator serving 500,000 customers and handling 1 million contracts per year, with call volumes reaching 40,000 per month during peak periods.
With manual reviews taking 20-25 minutes per call and requiring two dedicated employees, the company could examine only 3-4% of calls monthly....
“The system does not only check if an agent said hello. It evaluates the agent’s empathy, tone, and success in making the customer feel heard. That’s a qualitative leap.”
Online comparison platform for insurance, energy, and financial services.
Built Insurancemarket's generative AI call analytics system, Voxflow
Cloud computing platform and on-demand infrastructure services.
Insurancemarket's Call quality review is part of this use case:
Related implementations across industries and use cases
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
A Greek insurance aggregator serving 500,000 customers and handling 1 million contracts per year, with call volumes reaching 40,000 per month during peak periods.
With manual reviews taking 20-25 minutes per call and requiring two dedicated employees, the company could examine only 3-4% of calls monthly....
“The system does not only check if an agent said hello. It evaluates the agent’s empathy, tone, and success in making the customer feel heard. That’s a qualitative leap.”
Online comparison platform for insurance, energy, and financial services.
Built Insurancemarket's generative AI call analytics system, Voxflow
Cloud computing platform and on-demand infrastructure services.
Insurancemarket's Call quality review is part of this use case:
Related implementations across industries and use cases
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.