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.”
Zenoti's Call quality monitoring is part of this use case:
Business management platform for salons, spas, medspas, and fitness centers.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Clinicians spent 6 hours typing notes per 8 hours of clinic time. Now, an AI scribe listens and drafts records for provider review.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Human reviewers couldn't keep pace with call volume. Now, AI instantly analyzes calls to trigger real-time alerts and train new agents.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
Zenoti's Call quality monitoring is part of this use case:
Business management platform for salons, spas, medspas, and fitness centers.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Clinicians spent 6 hours typing notes per 8 hours of clinic time. Now, an AI scribe listens and drafts records for provider review.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Human reviewers couldn't keep pace with call volume. Now, AI instantly analyzes calls to trigger real-time alerts and train new agents.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.