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.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Inconsistent manual call notes caused billing errors. Now, zero-retention AI turns VoIP calls into synced case and billing entries.
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.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
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.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Inconsistent manual call notes caused billing errors. Now, zero-retention AI turns VoIP calls into synced case and billing entries.
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.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.