Arizona State Urological Institute
Document processing
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
- Accuracy rating increase from 88% to ~98%
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.
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.
Staff wasted hours digging through six data silos. AI now scans 500k records in seconds, saving the team 50 hours daily.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
Generic tools missed product names, skewing data. Tailored models now master niche jargon using just 20 hours of sample audio.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.