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.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Manual credit pulls bottlenecked applications. AI now checks credit and sets rates instantly, handing ready clients to bankers.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Duplicated effort and fragmented knowledge slowed 150+ app releases. 120+ AI assistants cut timelines 15% and lifted productivity 20–25%.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
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.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Manual credit pulls bottlenecked applications. AI now checks credit and sets rates instantly, handing ready clients to bankers.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Duplicated effort and fragmented knowledge slowed 150+ app releases. 120+ AI assistants cut timelines 15% and lifted productivity 20–25%.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.