Case Study: Creditas cuts compliance risk 93% and lifts efficiency 27% with Deepgram
Key results
The challenge
Creditas, an Indian digital debt-collections platform, relied on manual, scripted calls and QA processes that monitored less than 10% of interactions, leaving compliance and quality gaps in a heavily regulated market. Agents' code-mixed Hindi-English conversations were missed entirely by traditional QA.
The solution
Creditas deployed Deepgram's Nova speech-to-text models tuned for finance, phone calls, and multilingual Hindi-English collections through a self-hosted, in-region AWS deployment to meet accuracy, privacy, and compliance requirements.
The results, in context
Creditas reports 100% call-audit automation with every call transcribed and quality-audited in real time. It documents a 93% compliance-risk reduction, a 27% operational-efficiency lift, 2-3x higher engagement rates, and a 10% revenue uplift from AI payment-intent prediction.