Normalized claim
Average handling time for individual customers: 9% decrease
average service time, which decreased by 9% in the case of individual customers
Vivo, in collaboration with Microsoft, created I. Ajuda, a generative AI assistant for call center agents in Brazil. The assistant is integrated into chat tools and draws on content from more than 30 systems and 2,000 processes to help agents answer customer questions quickly and consistently. It is used by Vivo's entire call center workforce and is intended to improve service quality, agility, first-contact resolution, and evaluation scores.
Reported outcomes
Average handling time for individual customers: −9%
Time & speed
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Normalized claim
Average handling time for individual customers: 9% decrease
average service time, which decreased by 9% in the case of individual customers
Normalized claim
Average handling time for corporate customers: 4% decrease
4% in the case of companies
Normalized claim
Agent workforce coverage: 11,000 agents increase
already used by 11 thousand Vivo customer service agents
Normalized claim
Customer service recurrence rate: 87% increase
already using generative AI with an 87% recurrence rate in customer service
The solution was deployed to Vivo's entire 11,000-agent call center workforce
Primary read
Showing 2 of 2
The solution is built on Azure OpenAI Service and integrated with chat tools. It uses content from more than 30 systems and 2,000 processes, runs within Vivo's closed environment, and includes security and compliance protections. Call center agents interact with the assistant as a co-pilot, with feedback from agents and a CT Bots team used to calibrate outputs.
AI-generated summary. Verify important details with the linked sources before relying on this case.
Was this useful?
Community
No published comments yet.