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.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
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.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
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.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
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.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.