The RAC
Customer support
Navigating scattered systems delayed roadside aid. AI now summarizes complex notes into single-line insights, cutting call times by 30%.
- 30% reduction in call handling time
Spotting bugs meant manually reviewing every call. AI now transcribes and categorizes issues to find trends, saving agents 300+ hours.
A remote driving service in Las Vegas bridging car sharing and ride-hailing by using tele-drivers to deliver electric vehicles to residents and 40 million annual visitors.
Identifying technical bugs and service issues required manually reviewing and categorizing customer support calls. This manual process was too...
“Our mission is to have fewer vehicles just standing around in cities. We want better space utilization, and for people to have less need to own a car without that being restrictive.”
Teledriven on-demand car rental and remote driving technology platform.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Navigating scattered systems delayed roadside aid. AI now summarizes complex notes into single-line insights, cutting call times by 30%.
Analysts couldn't review 40-minute calls. A model now mines transcripts for intent, identifying queries self-service can solve.
Manual reviews covered just 100 calls a month. AI now scores every interaction daily, spotting training gaps and automating summaries.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Translating 25,000 ERP objects meant 1,250 hours of manual developer work. AI finished the job in 20 days with zero errors.
Rigid bots forced 40,000 advertisers to wait. AI agents now diagnose technical issues instantly, resolving setups in under 2 minutes.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.