Reps were pulled between pricing FAQs and complex proposals. An AI agent now absorbs the routine — letting them focus on consultations.
A telecommunications division responsible for marketing and sales to Japan's approximately 3.4 million small and medium-sized businesses.
Sales representatives were fielding both complex, customer-specific consultations and a high volume of routine inquiries about products, pricing, and...
“Sierra feels like a highly polished AI agent platform that is both easy to implement and easy to improve over time. In our case, by leveraging information from our website during the initial setup, we were able to train the AI agent — in a short period of time — the product knowledge and FAQs that would take a human considerable time to learn.”
Japanese mobile carrier providing wireless, broadband, and digital services.
AI agent platform for autonomous enterprise customer service.
SoftBank's SMB sales inquiry support is part of this use case:
Related implementations across industries and use cases
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Manual outreach took days, reaching only 3% of visitors. An AI agent now books meetings instantly, generating $1M revenue in 90 days.
Surging demand overwhelmed 50 pre-sales reps. Now, AI voice agents initiate calls, educate buyers, and qualify leads for human handoff.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Reps were pulled between pricing FAQs and complex proposals. An AI agent now absorbs the routine — letting them focus on consultations.
A telecommunications division responsible for marketing and sales to Japan's approximately 3.4 million small and medium-sized businesses.
Sales representatives were fielding both complex, customer-specific consultations and a high volume of routine inquiries about products, pricing, and...
“Sierra feels like a highly polished AI agent platform that is both easy to implement and easy to improve over time. In our case, by leveraging information from our website during the initial setup, we were able to train the AI agent — in a short period of time — the product knowledge and FAQs that would take a human considerable time to learn.”
Japanese mobile carrier providing wireless, broadband, and digital services.
AI agent platform for autonomous enterprise customer service.
SoftBank's SMB sales inquiry support is part of this use case:
Related implementations across industries and use cases
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Manual outreach took days, reaching only 3% of visitors. An AI agent now books meetings instantly, generating $1M revenue in 90 days.
Surging demand overwhelmed 50 pre-sales reps. Now, AI voice agents initiate calls, educate buyers, and qualify leads for human handoff.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.