Automate QA for Service.
Score Every Interaction
Use AutoQA, VoC, and observability to monitor support across WhatsApp, Voice, Email, and SMS. Evaluate every interaction, detect customer pain points, and coach agents with real-time quality signals.
The Decision Engine
Oversai observability analyzes support interactions and customer history to surface quality gaps, unresolved issues, and sentiment trends in real time.
QA score falls on refund conversations
Flag coaching opportunity for the support manager
Negative sentiment spikes on a ticket theme
Create VoC alert for the operations team
AHT rises while CSAT sentiment drops
Surface root-cause trend across channels
Best agents outperform on empathy and resolution
Benchmark the rubric and replicate coaching
Service Use Cases for AutoQA and VoC
The system automatically handles customer inquiries and resolves issues across every channel using your own customer data.
Instant Answers for Every Question
Our system provides accurate answers instantly, reducing wait times and improving customer satisfaction.
Real-Time VoC
Understand how customers feel across support interactions, not just survey responses, and catch issues before they escalate.
Grows With You
Handle far more quality reviews without adding QA headcount, and focus on the conversations with the highest operational risk.
Right Channel, Right Time
Get one observability layer across WhatsApp, phone, email, and SMS so support leaders can compare quality and sentiment everywhere.
Integrates with your entire stack
Seamlessly connect Oversai to your helpdesk, ticketing systems, dialers, and communication platforms in minutes.
Interactions scored
Less manual QA work
Sentiment visibility
Faster manager review
Improve service quality with AutoQA and VoC.
Join support teams using Oversai to automate QA, capture VoC at scale, and improve service quality without increasing headcount.