Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
A global airline processing millions of customer inquiries across more than 1,300 distinct topic areas, from routine booking changes to specific pet travel policies.
An overwhelming volume of customer queries strained existing support channels, resulting in rising costs, slower response times, and widespread...
“Employees are doing things that are more value-added. I think it helps with morale…because now they get to contribute at a higher level.”
Full-service airline for domestic and international passenger and cargo transport.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Air India's Virtual customer support agent is part of this use case:
Related implementations across industries and use cases
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Static chatbot drove passengers to call. AI now answers in 2.9 seconds across seven languages—down from 18—without scaling headcount.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
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.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
A global airline processing millions of customer inquiries across more than 1,300 distinct topic areas, from routine booking changes to specific pet travel policies.
An overwhelming volume of customer queries strained existing support channels, resulting in rising costs, slower response times, and widespread...
“Employees are doing things that are more value-added. I think it helps with morale…because now they get to contribute at a higher level.”
Full-service airline for domestic and international passenger and cargo transport.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Air India's Virtual customer support agent is part of this use case:
Related implementations across industries and use cases
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Static chatbot drove passengers to call. AI now answers in 2.9 seconds across seven languages—down from 18—without scaling headcount.
Teams manually coded every chat script. Now, a generative AI agent pulls answers straight from the knowledge base to resolve urgent cases.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
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.