Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
A leading global provider of workforce and conversation intelligence solutions relied on a legacy transcription vendor that hadn't released updates since 2020.
Deteriorating accuracy caused 41 highly escalated support cases and forced the costly migration of over half their customers to alternative...
Workforce engagement and contact center optimization software.
AI models for speech-to-text transcription and audio intelligence.
Calabrio's Call transcription is part of this use case:
Related implementations across industries and use cases
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
A leading global provider of workforce and conversation intelligence solutions relied on a legacy transcription vendor that hadn't released updates since 2020.
Deteriorating accuracy caused 41 highly escalated support cases and forced the costly migration of over half their customers to alternative...
Workforce engagement and contact center optimization software.
AI models for speech-to-text transcription and audio intelligence.
Calabrio's Call transcription is part of this use case:
Related implementations across industries and use cases
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.