Case Study · A national telecom operator
Bangla-first speech AI transcribed and analysed every subscriber call, surfacing churn signals and lifting ARR 30%.
92%
Bangla speech accuracy
100%
Of calls analysed
+30%
Customer ARR
The operator handled millions of subscriber conversations, but quality and churn teams could only manually review a tiny sample. The signals that predicted churn and dissatisfaction were buried in unanalysed audio.
Off-the-shelf speech tools handled English passably but stumbled on real Bangla and code-switched speech.
Intelsense's Speech AI — built on the SenseVoice engine — transcribed and analysed 100% of calls at 92% Bangla accuracy, tagging intent, sentiment and complaint themes automatically.
Quality and retention teams gained a live, searchable view of what subscribers were actually saying.
With every call understood rather than sampled, the operator acted on churn and up-sell signals it had been blind to — growing customer ARR by 30%.