Staff spent 3+ hours daily searching files and formatting visual slides. Now, they use conversational AI to auto-generate tailored decks.
A major Tokyo-based IT and telecommunications operator navigating a deeply ingrained national workplace culture that normalizes long hours and overwork.
Employees spent over two hours every workday creating the detailed, highly visual presentations expected in local business culture, plus another hour...
“I think that AI agents [are] going to keep the economic growth, and also, at the same time, they’re going to help everybody live more freely and live their own life.”
SoftBank's Presentation creation is part of this use case:
Japanese mobile carrier providing wireless, broadband, and digital services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Sales reps spent 50% of prep time hunting for internal knowledge. Now, AI automatically extracts and summarizes relevant slides.
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Staff spent 3+ hours daily searching files and formatting visual slides. Now, they use conversational AI to auto-generate tailored decks.
A major Tokyo-based IT and telecommunications operator navigating a deeply ingrained national workplace culture that normalizes long hours and overwork.
Employees spent over two hours every workday creating the detailed, highly visual presentations expected in local business culture, plus another hour...
“I think that AI agents [are] going to keep the economic growth, and also, at the same time, they’re going to help everybody live more freely and live their own life.”
SoftBank's Presentation creation is part of this use case:
Japanese mobile carrier providing wireless, broadband, and digital services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Sales reps spent 50% of prep time hunting for internal knowledge. Now, AI automatically extracts and summarizes relevant slides.
Committing to one model was risky. A gateway now routes 100k staff to 40+ AI tools via chat, saving 500k hours.
Neurodiverse staff required up to four peer reviews per report. Using AI dictation and prompting, they now draft and refine independently.
Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.