Case Study: Creditas Achieves 100% Call Audit Automation with Deepgram Speech-to-Text

Creditas Transforms Indian Debt Collections with Deepgram

Creditas, an Indian digital collections platform, needed a way to scale debt recovery without sacrificing trust, compliance, or customer experience. Manual QA covered less than 10% of calls, and code-mixed Hindi-English conversations made traditional speech tools especially ineffective. To address this, Creditas turned to Deepgram’s speech-to-text API to support multilingual, real-time call transcription and quality oversight.

Using Deepgram’s Nova speech-to-text models in a self-hosted AWS Mumbai deployment, Creditas enabled 100% call audit coverage, sub-300ms streaming transcription, and AI-driven compliance and account scoring. The results included a 93% reduction in compliance risk, a 27% lift in operational efficiency, a 10% increase in recovery rates, and 2–3x higher customer engagement, helping Creditas make collections more empathetic, compliant, and effective.

Creditas

Aman Bindal

Chief Technology Officer