Why insurance voice is harder than general voice
An insurance voice agent has to handle policy lookup, regulated disclosures, eligibility logic, and emotional moments - sometimes in the same call. Generic voice platforms handle the audio. The work is in the orchestration: pulling the right policy, checking the right rule, generating the right disclosure in the right language, and handing off cleanly when the customer needs a human.
Languages and dialect handling
Our deployments run in Modern Standard Arabic and Gulf dialects, English (Indian, GCC, UK accent profiles), Hindi, and a growing list of Indic languages. Dialect handling matters more than headline language support - a customer in Sharjah does not speak the Arabic of a textbook, and a customer in Lucknow does not speak the Hindi of Mumbai.
100% audit, not 2% sampling
Traditional QA samples 2% of calls. Our quality layer transcribes and scores 100%, against the carrier's own QA rubric - so coaching, compliance, and process improvement run on the full population, not a sample. This single change has produced the largest CSAT and compliance lifts in our deployments.
Where voice AI replaces, augments, and stays out of the way
Voice agents replace humans on high-volume, low-emotion tasks (status checks, premium queries, document upload guidance), augment humans on regulated workflows (FNOL with a human supervisor in-loop), and stay out of the way on complex claims and complaints. The judgement of where each line sits is the difference between a deployment that scales and one that backfires.