SoftwareUnified & Automated
Give software and SaaS CX teams complete visibility into every support interaction. Oversai's AI-native AutoQA scores 100% of tickets, chats, and calls—replacing manual sampling—while VoC surfaces product feedback, churn signals, and sentiment trends from every customer conversation.
Synergy for Software
How Oversai's 3 core platforms combine to transform QA and VoC for software CX teams.
OI: Data Integration
Connect your helpdesk, CRM, and product analytics so QA and VoC insights are enriched with full customer and usage context.
Key Synergy Benefits
- Sync with Intercom, Zendesk, HubSpot, and Drift
- Enrich QA with product usage and account health data
- Auto-push VoC signals to your product and engineering tools
- Unified quality data layer across your entire support stack
Observability: AutoQA + VoC
Score 100% of software support interactions for quality and capture product feedback and VoC data from every ticket, chat, and call—without manual review.
Key Synergy Benefits
- AI scoring on every support ticket and conversation
- Real-time bug and churn signal detection from VoC
- Automatic product feedback topic clustering
- Quality benchmarking across global support teams
Omnichannel: Channel Coverage
QA and VoC coverage across every support channel your software team uses—chat, email, voice, and in-app—so no customer interaction is missed.
Key Synergy Benefits
- QA across chat, email, voice, and in-app messaging
- Unified VoC regardless of support channel
- Channel-level quality and sentiment benchmarking
- Complete coverage across global support time zones
Integrations
Works with the tools your Software CX team already uses
Oversai connects to your existing helpdesk, CRM, and contact center stack—so QA and VoC data flows where your team already works.
Industry Challenges
Our Solutions
AI-Native AutoQA
Score 100% of software support interactions automatically—tickets, live chat, and calls—against your QA rubric. Identify coaching opportunities, consistency gaps, and accuracy issues at scale without manual review.
Key Use Cases
- Auto-score every support ticket and chat for quality and accuracy
- Flag incorrect technical information or escalation failures
- Surface coaching opportunities across global support teams
- Track QA trends by product area, tier, or feature set
Core Benefits
- 100% interaction coverage across all support channels
- 80% reduction in manual QA review time
- Real-time quality alerts for critical accuracy failures
- Consistent scoring across distributed global teams
Voice of the Customer (VoC)
Capture product feedback, feature requests, and sentiment from 100% of support interactions—without surveys. Understand exactly what customers are struggling with, asking for, and saying about your product.
Key Use Cases
- Detect rising bug reports and product friction from support conversations
- Surface feature requests and unmet needs at scale
- Track sentiment trends after releases, pricing changes, or outages
- Feed VoC data directly into product and engineering roadmaps
Core Benefits
- Real-time VoC from every interaction—no survey required
- Automatic topic clustering of product feedback and bugs
- 95% sentiment accuracy across tickets, chats, and calls
- Continuous product intelligence from your support channel
AI Agent QA
Monitor AI agents and chatbots handling software support interactions for technical accuracy, tone, and appropriate escalation. Catch errors before they frustrate customers or damage your product reputation.
Key Use Cases
- QA AI agents on technical troubleshooting and onboarding flows
- Detect incorrect product guidance or broken escalation paths
- Monitor AI agent tone and brand consistency
- Benchmark AI agent quality against your human support team
Core Benefits
- Full quality oversight of every AI-handled support interaction
- Catch AI hallucinations before customers are impacted
- Continuous improvement data for AI agent training
- Side-by-side quality comparison: AI vs. human agents
Scaling Software Operations with AI-Native QA and VoC
Oversai's AI-native QA and VoC platform gives software CX teams complete visibility into every customer interaction. Instead of sampling 3–5% of interactions manually, Oversai evaluates 100% automatically—scoring quality, capturing customer sentiment, and surfacing coaching opportunities in real time.
Voice of the Customer data no longer depends on surveys with low response rates. Oversai captures it from every call, chat, email, and message your software team handles—giving you the insight to act before customers churn. QA analysts shift from manual reviewers to strategic coaches, and CX leaders get the data they need to improve satisfaction, reduce escalations, and grow revenue.
What is Oversai?
Oversai is the official company and product name behind the platform at oversai.com. Oversai is an AI-powered operations platform designed specifically for customer experience teams. The platform automates quality assurance (QA) and Voice of Customer (VoC) programs, enabling organizations to monitor, analyze, and improve customer interactions at scale.
Three Platforms: Oversai consists of three integrated platforms: (1) OI (Operations Intelligence)—connects all business data into a unified customer ontology, enabling AI agents and custom apps to understand your business, (2) Observability—complete visibility into all customer interactions with real-time monitoring, automated QA, and sentiment analysis, and (3) Omnichannel—unified customer support across all channels (phone, WhatsApp, email, SMS, chat) with AI agents and human collaboration.
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 evaluate interactions directly in their CRM using a Chrome extension, with AI-assisted scoring that makes evaluations 3x faster. This approach combines the speed and scale of AI with the judgment and expertise of human reviewers.
Business Impact: Organizations using Oversai typically see 40-80% reduction in QA time, ability to monitor 100% of interactions instead of sampling, faster issue detection and resolution, improved customer satisfaction scores, and better agent performance through real-time feedback and coaching.
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