Zenoti manually audited <1% of calls. Now, AI reviews 73,000+ monthly interactions to score empathy and flag resolution issues.
A cloud software provider for the beauty and wellness industry serving over 30,000 businesses across 50 countries.
The support team handled thousands of calls monthly but could manually audit less than one percent of that volume. This lack of coverage provided an...
“We handle thousands of support calls every month, but we could only audit less than one percent of that volume.”
Business management platform for salons, spas, medspas, and fitness centers.
Cloud computing platform and on-demand infrastructure services.
Zenoti's Call quality monitoring is part of this use case:
Related implementations across industries and use cases
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Zenoti manually audited <1% of calls. Now, AI reviews 73,000+ monthly interactions to score empathy and flag resolution issues.
A cloud software provider for the beauty and wellness industry serving over 30,000 businesses across 50 countries.
The support team handled thousands of calls monthly but could manually audit less than one percent of that volume. This lack of coverage provided an...
“We handle thousands of support calls every month, but we could only audit less than one percent of that volume.”
Business management platform for salons, spas, medspas, and fitness centers.
Cloud computing platform and on-demand infrastructure services.
Zenoti's Call quality monitoring is part of this use case:
Related implementations across industries and use cases
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
With 96% of calls unreviewed, recurring patterns took months to surface. Now every call is evaluated for agent tone, empathy, and sentiment.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.