日本語 
Scene Live has started a collaboration with Stadium, the company behind the AI-powered customer service quality management tool Dr.Tel. The partnership is aimed at helping call centers improve response quality while also cutting down the massive amount of manual work that still exists in call evaluation and staff training.
Scene Live already provides outbound call system lisnavi and inbound system OSORA, both focused on improving efficiency and productivity in telephone operations. But even with improved call systems in place, a lot of companies still end up with managers manually listening to the calls, then transcribing the conversations, then rating the responses, and coaching agents one by one. It just takes time, it makes those inconsistencies, and in the end it slows the whole operation down.
The new collaboration connects lisnavi with Dr.Tel’s AI-based response evaluation system. Dr.Tel automatically analyzes call recordings using speech recognition, sentiment analysis, and AI scoring models. It can evaluate areas like understanding customer needs, communication quality, and closing appropriateness based on standards set by each company.
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The idea here is not just increasing call volume. It is about improving the actual quality of customer interactions while reducing operational burden on supervisors.
For companies already using lisnavi, Scene Live will now introduce Dr.Tel as an integrated option for more advanced quality management and personnel training. Since Dr.Tel works with voice data regardless of the calling tool being used, both companies say the setup can work flexibly across different environments.
Lisnavi itself is built for outbound activities, and it brings along features for real time reporting, dashboard building, multi project management, plus workflow tuning. The system is mostly meant for businesses that deal with multiple campaigns or products all at once, where following up on results and juggling day to day operations can get messy without some automation.
Through this partnership, both companies are kind of moving toward a more evidence-driven approach to sales and support work. Like, AI can take on the repetitive evaluation tasks while managers can concentrate on the real performance improvements, instead of getting stuck in all those routine checks.
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