Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
One of the world's largest telecommunications companies, with a national retail network where store experts help customers navigate device upgrades and account decisions.
Account details, purchase history, network data, and past interactions lived across multiple systems, requiring experts to search their tablets while...
“The vision is to give our people a Ph.D.-level understanding of the customer’s relationship with AT&T and our products, so every expert has what they need in one place to create the best possible experience.”
Wireless, high-speed internet, and enterprise communication services provider.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
AT&T's Retail sales guidance is part of this use case:
Related implementations across industries and use cases
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
The math was solid; only data scientists could read it. An AI agent now translates site predictions into plain language answers instantly.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
One of the world's largest telecommunications companies, with a national retail network where store experts help customers navigate device upgrades and account decisions.
Account details, purchase history, network data, and past interactions lived across multiple systems, requiring experts to search their tablets while...
“The vision is to give our people a Ph.D.-level understanding of the customer’s relationship with AT&T and our products, so every expert has what they need in one place to create the best possible experience.”
Wireless, high-speed internet, and enterprise communication services provider.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
AT&T's Retail sales guidance is part of this use case:
Related implementations across industries and use cases
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Reps manually skimmed 12-page articles to resolve cases. Now, an AI assistant synthesizes live data to deliver answers in seconds.
The math was solid; only data scientists could read it. An AI agent now translates site predictions into plain language answers instantly.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.