Oversai

TelecommunicationsAutoQA, VoC, and Observability

Give telecom CX teams complete visibility into every subscriber interaction. Oversai's AI-native AutoQA evaluates 100% of calls, chats, and emails automatically—replacing sampling-based audits—while VoC captures churn signals, NPS drivers, and subscriber sentiment in real time.

Telecommunications Solutions Built on 3 Core Areas

How Oversai applies AutoQA, VoC, and observability to telecommunications teams.

Core Area

AutoQA

Quality Automation

Evaluate 100% of telecommunications interactions automatically so teams can scale quality monitoring beyond manual sampling.

What This Gives You

  • 100% interaction coverage vs. 3–5% manual sampling
  • 80% reduction in QA analyst review time
  • Real-time alerts for churn risk and quality failures
  • Consistent QA standards across thousands of agents
Core Area

VoC

Customer Signal Intelligence

Capture customer sentiment, recurring themes, and friction signals from telecommunications conversations without depending on surveys.

What This Gives You

  • Real-time VoC from every subscriber interaction—no survey lag
  • 95% churn signal detection accuracy
  • Automatic clustering of network and billing complaint topics
  • Proactive insight to reduce churn before it happens
Core Area

Observability

Operational Visibility

Score 100% of subscriber interactions for quality and capture churn signals, sentiment, and VoC data from every call, chat, and email—at telecom scale.

What This Gives You

  • AI scoring on every subscriber interaction at scale
  • Real-time churn risk and retention signal detection
  • Network issue VoC topic clustering from support calls
  • Subscriber sentiment tracking across all service touchpoints
100%
Interaction QA coverage
80%
QA time saved
Real-time
Churn signal detection

Integrations

Works with the tools your Telecommunications 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.

Genesys
NICE
Five9
Avaya
Talkdesk
Salesforce
Zendesk
Aircall

Industry Challenges

No visibility into 95% of subscriber interactions due to manual QA sampling
Can't capture subscriber feedback without slow, low-response-rate surveys
No real-time signal on agent quality, churn risk, or subscriber sentiment at scale
Compliance and billing accuracy risk with no automated monitoring of every interaction

Core Solutions

AI-Native AutoQA

Score 100% of telecom subscriber interactions automatically—technical support calls, billing disputes, retention conversations—against your QA rubric. Catch quality issues and compliance gaps at scale without manual sampling.

Key Use Cases

  • Auto-score every agent interaction against your telecom QA scorecard
  • Flag billing disputes and churn risk signals in real time
  • Monitor retention call quality and offer compliance
  • Track QA trends by team, region, and interaction type

Core Benefits

  • 100% interaction coverage vs. 3–5% manual sampling
  • 80% reduction in QA analyst review time
  • Real-time alerts for churn risk and quality failures
  • Consistent QA standards across thousands of agents

Voice of the Customer (VoC)

Capture subscriber sentiment, churn signals, and feedback from 100% of interactions—without surveys. Identify why customers are dissatisfied, what network issues they're experiencing, and what drives loyalty.

Key Use Cases

  • Detect churn intent and escalation risk from every support interaction
  • Identify network issue trends from subscriber complaints at scale
  • Track sentiment around price changes, outages, and new products
  • Feed real-time VoC to retention, product, and network operations teams

Core Benefits

  • Real-time VoC from every subscriber interaction—no survey lag
  • 95% churn signal detection accuracy
  • Automatic clustering of network and billing complaint topics
  • Proactive insight to reduce churn before it happens

Observability

Monitor 100% of telecommunications interactions in one observability layer. Connect quality, sentiment, alerts, and team performance so issues are visible as they happen.

Key Use Cases

  • Track interaction quality and customer sentiment across every telecommunications workflow
  • Surface escalations, compliance risks, and operational issues faster
  • Unify quality, feedback, and performance signals in one view
  • Give leaders a real-time view of what is happening across the telecommunications operation

Core Benefits

  • One shared layer for AutoQA, VoC, alerts, and metrics
  • Real-time visibility into quality and customer experience trends
  • Faster investigation and response to critical issues
  • Built to work with tools like Genesys, NICE, Five9

Scaling Telecommunications Operations with AutoQA, VoC, and Observability

Oversai gives telecommunications teams complete visibility into every customer interaction. Instead of sampling 3–5% of interactions manually, Oversai evaluates 100% automatically with AutoQA, captures customer sentiment and themes with VoC, and surfaces the operational signals teams need through observability.

Voice of Customer data no longer depends on surveys with low response rates. Oversai captures it from every call, chat, email, and message your telecommunications team handles. QA teams shift from manual reviewers to strategic coaches, and leaders get one observability layer for quality, sentiment, and performance.

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.

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