Automate QA and VoC
for service teams
Your complete software for CX operations
Monitor every interaction in real-time
Observability
Monitor human and AI agent performance, automate QA, and capture VoC insights. Catch issues early and prove ROI with real-time CX metrics.
Hear the voice of every customer
Voice of Customer
Capture sentiment, friction, complaints, product feedback, and churn signals across every conversation. Turn VoC into themes, alerts, and priorities your team can act on in real time.
A Note From Our Founder
Oscar Giraldo
Founder of Playvox. Founder and CEO of Oversai.
Welcome to our story.
We spent years learning how large CX teams run QA, coaching, and customer listening at scale through the Playvox journey. Oversai is our next chapter: applying those lessons to the AI era so teams have better QA, stronger Voice of the Customer, and clearer observability as human and AI conversations grow together.
What shaped Oversai
Experience with large, modern CX teams.
The Playvox journey included work with teams at brands like these. That experience now informs how Oversai is built for AI-powered QA, Voice of the Customer, and observability.
From conversations to intelligence.
This is how we think about the system we are building at Oversai: one intelligence layer that connects AutoQA, Voice of the Customer, and observability.
See how the layers turn conversations into QA, VoC, and operational insight.
Explore the platform overviewLayer 01
Observe every interaction
Bring voice, chat, email, and messaging into one continuous operating view.
Layer 02
Score quality automatically
Turn every conversation into QA, compliance, and coaching signals at scale.
Layer 03
Capture Voice of Customer
Surface sentiment, friction, and customer themes directly from conversations.
Why Oversai
What Oversai Helps Teams Do
A simple overview of how Oversai helps teams monitor quality, understand customers, and improve operations.
What is Oversai?
Oversai is an observability platform for CX teams that combines AutoQA and Voice of Customer. It helps teams monitor 100% of customer interactions, score quality automatically, and turn conversations into sentiment and operational insight.
What does Oversai do?
Oversai captures customer interactions across voice, chat, email, and messaging, then uses AI to evaluate quality, detect sentiment, surface compliance risk, and identify coaching or product issues in real time.
Who is Oversai for?
Oversai is built for contact centers, support teams, service teams, sales teams, collections teams, IT helpdesk teams, and broader CX leaders that need better visibility into customer-facing conversations.
Why do teams use Oversai?
Teams use Oversai to reduce manual QA work, monitor 100% of interactions instead of sampling, find customer pain points faster, improve coaching, and connect service quality to revenue, retention, and customer satisfaction.
What is Oversai?
Oversai is an observability platform for customer experience teams. It helps organizations run AutoQA and Voice of Customer programs on top of 100% interaction coverage so they can monitor, analyze, and improve customer conversations at scale.
Core Focus: Oversai combines observability, AutoQA, and VoC in one system. Teams use Oversai to evaluate 100% of interactions, monitor quality and compliance in real time, capture customer sentiment and feedback signals, and surface the issues and trends that matter most across voice, chat, email, and messaging.
Human-in-the-Loop Approach: Oversai uses a human-in-the-loop model where AI handles the volume and scale, while human experts focus on high-value reviews and decision-making. QA teams can review AI-scored interactions directly in their CRM using a Chrome extension, making evaluations faster and more consistent. This approach combines the speed and coverage of AI with the judgment and expertise of human reviewers.
Business Impact: Organizations using Oversai typically see 40-80% reduction in QA time, the ability to monitor 100% of interactions instead of sampling, faster issue detection and resolution, stronger visibility into customer sentiment and root causes, improved customer satisfaction scores, and better agent performance through real-time feedback and coaching.