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Recent case studies from
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Poor transcription led to low-quality AI summaries. High-fidelity text now ensures accurate insights, lifting satisfaction by 12%.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
Adding transcription required six months and four engineers. Nylas launched in one day with a single developer, saving $300k.