A company running large-scale transcription pipelines for customer support calls, internal meetings, and compliance used Global API to route audio through multiple specialized AI models. This approach reduced transcription costs by 58% (about $19,000/month) while maintaining or improving transcription quality and latency. Key strategies included model benchmarking, caching duplicate audio, tiered model routing by content type, fallback model chaining, and monitoring word error rates. Integration was simple, requiring minimal engineering effort and preserving existing infrastructure.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
