AT&T
Retail sales guidance
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
- Targeted 67% reduction in retail sales cycle
- 8 weeks from ideation to pilot-ready
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
A 30-year-old telecommunications provider delivering satellite and streaming services with over 85 channels across the contiguous United States.
Support representatives had to toggle between three separate billing systems and manually calculate variances, extending call times for routine...
“Our main metric is a reduction in average handle time. We’re really focused on improving the experience for our customers and our staff.”
Satellite and streaming television service provider.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
DIRECTV's Billing support is part of this use case:
Related implementations across industries and use cases
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
Technicians spent six months learning to parse noisy network logs. Now, an AI assistant correlates alarms for rapid root-cause analysis.
Duplicated effort and fragmented knowledge slowed 150+ app releases. 120+ AI assistants cut timelines 15% and lifted productivity 20–25%.
Siloed tools left the SOC blind to threats spanning satellites to cloud. AI now closes most cases automatically, in seconds.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
A 30-year-old telecommunications provider delivering satellite and streaming services with over 85 channels across the contiguous United States.
Support representatives had to toggle between three separate billing systems and manually calculate variances, extending call times for routine...
“Our main metric is a reduction in average handle time. We’re really focused on improving the experience for our customers and our staff.”
Satellite and streaming television service provider.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
DIRECTV's Billing support is part of this use case:
Related implementations across industries and use cases
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
Technicians spent six months learning to parse noisy network logs. Now, an AI assistant correlates alarms for rapid root-cause analysis.
Duplicated effort and fragmented knowledge slowed 150+ app releases. 120+ AI assistants cut timelines 15% and lifted productivity 20–25%.
Siloed tools left the SOC blind to threats spanning satellites to cloud. AI now closes most cases automatically, in seconds.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.