11 Best Call Center Quality Assurance (QA) Software 2025

Richard James
Richard James
Director of CX, Web | AmplifAI
Updated On:
March 18, 2025
Blog
Quality & Compliance
Agent Productivity
Call Center Management
Contact Center AI
11 Best Call Center Quality Assurance (QA) Software 2025

The best call center quality assurance (QA) software is no longer a 'nice-to-have', it’s a critical necessity for modern contact centers.

Manual QA processes aren’t just outdated, they’re actively holding contact centers back.

Traditional QA tools focus on scoring and monitoring but fail to solve the actual performance problem. Generative AI and Large Language Models (LLMs) have made random sampling, static scorecards, and siloed QA dashboards obsolete.

But, QA alone is not the problem.

It’s the data overload, inefficiency, and disconnect between QA, coaching, and agent enablement that’s breaking contact center performance.

Most contact center QA software adds more work, not less. Another data silo, forcing managers to manually interpret insights instead of providing automated, actionable coaching triggers that actually improve the ability of contact center leaders to catch and rectify quality and compliance issues within their team.

With so many options available, finding the right call center quality assurance software for your contact center isn’t about analyzing QA features, it’s about choosing a platform that actually drives performance improvement while providing the automated QA tools your team needs.

In our expert-vetted list of the 11 best call center QA software of 2025 we've highlighted the tools that go beyond traditional Quality Assurance to  enable coaching, compliance, and agent development holistically.

Having worked alongside 200,000+ users across 150 brands and BPOs, we’ve seen firsthand what separates effective call center QA software from generic scorecard tools.

Below, you’ll find our top picks, along with insights into:

Note:

Previously reviewed and ranked brands Playvox, Echo.ai, and Klausapp have been acquired and are no longer standalone solutions. To ensure accuracy, we’ve removed these reviews and updated our list to reflect the most current market landscape in 2025.


Best Call Center Quality Assurance Software

Below is a ranked list of the best call center quality assurance software, based on industry expertise, features, and performance. If you'd like to jump right to the reviews, there's links in the snapshots below.

Rank Software Overview
1 AmplifAI AmplifAI delivers the most complete call center quality assurance software, combining AI-driven automation, real-time performance insights, and coaching intelligence to improve agent performance and compliance.
2 Nice CXone Nice CXOne is an enterprise-grade call center quality assurance software designed for large-scale operations needing workforce optimization, omnichannel analytics, and compliance tracking.
3 CallMiner CallMiner specializes in compliance-driven call center quality assurance software, offering deep conversational analytics and risk detection for highly regulated industries.
4 Talkdesk Talkdesk integrates call center quality assurance software into its CCaaS suite, providing compliance tracking, QA automation, and workforce management tools.
5 Enthu.AI Enthu.AI is a specialized call center quality assurance software designed for automated QA scoring, compliance monitoring, and sales performance optimization.
6 Observe.ai Observe.AI enhances call center quality assurance software with real-time speech analytics and automated QA scoring, focusing on compliance and risk management.
7 Balto.AI Balto.AI delivers real-time agent guidance through call center quality assurance software, offering live conversational coaching and script adherence tracking.
8 Convin Convin identifies performance gaps and training opportunities with call center quality assurance software that features automated analysis and actionable scoring.
9 LevelAI LevelAI provides real-time analytics and AI-powered feedback through call center quality assurance software, helping contact centers enhance customer interactions.
10 MaestroQA MaestroQA delivers detailed analytics, structured feedback tools, and customizable evaluation forms through hands-on call center quality assurance software.
11 ScorebuddyQA ScorebuddyQA simplifies call center quality assurance software with user-friendly tools and agent-focused features for structured manual QA management.

What is Call Center Quality Assurance Software?

Call center quality assurance software (also known as QA software, quality management software, or contact center monitoring solutions) is a specialized technology that helps organizations systematically evaluate, monitor, and improve agent performance and customer interactions.

Unlike basic call recording tools, modern call center QA software combines conversation analytics, automated scoring, and coaching workflows to ensure consistent service delivery and regulatory compliance.

These platforms typically analyze calls, emails, chats, and social media interactions to identify quality issues, compliance risks, and coaching opportunities.  

Call center quality assurance software enables quality teams to evaluate more interactions while reducing the subjectivity inherent in human-only evaluations.  As contact centers evolve to handle increasingly complex customer inquiries across multiple channels, call center QA software has become essential for maintaining service standards and adapting to changing customer expectations.


Types of Call Center Quality Assurance Software

When it comes to contact center quality assurance software there are three primary types available.

1. Specialized Call Center Quality Assurance Software

Standalone QA tools that focus only on scoring and compliance without deeper integration into coaching or performance management.

  • Specialized QA Features Icon

    Specialized QA Features: Often include unique tools for sentiment analysis, scoring, and call recording.

  • Data Silos Icon

    Data Silos: Makes it challenging to connect QA insights to KPIs like CSAT or AHT.

  • Manual Processes Icon

    Manual Processes: Requires additional time to export, analyze, and integrate QA data with performance tools.

  • Limited Scalability Icon

    Limited Scalability: What works for 50 agents crumbles at 500, forcing costly migrations and tech debt.

Specialized QA tools provide insights—but no path to action.

2. CCaaS Call Center Quality Assurance Software

Built-in QA features within Contact Center as a Service (CCaaS) platforms.

  • Integrated Systems Icon

    Integrated Systems: Combines QA, reporting, and workforce management (WFM) into one platform.

  • Comprehensive Insights Icon

    Comprehensive Insights: Links QA to KPIs like agent adherence, CSAT, and service levels for seamless reporting.

  • High Costs Icon

    High Costs: Often priced for enterprise-level operations, making them less accessible to small or mid-sized contact centers and BPOs.

  • Generic QA Capabilities Icon

    Generic QA Capabilities: QA in CCaaS platforms is an afterthought—built for basic compliance, not agent performance. This is evident in the recent acquisitions of Playvox and Klausapp into larger CCaaS environments to fulfill a patchwork need for their users.

CCaaS QA tools are good for compliance, but they won’t help you develop high-performing agents.

3. Unified Call Center Quality Assurance Software

Platforms that combine QA with real-time coaching insights and performance metrics.

  • Complete QA Ecosystem Icon

    Complete QA Ecosystem: Integrates QA data with coaching tools, performance metrics, and KPIs into one centralized platform.

  • Role-Based Access Icon

    Role-Based Access: Provides tailored dashboards and insights for agents, team leaders, and directors.

  • Automated Coaching Triggers Icon

    Automated Coaching Triggers: Uses QA scores to generate actionable coaching plans in real time.

  • Scalable and Flexible Icon

    Scalable and Flexible: Designed to grow with your business, offering seamless integration with existing CRM and WFM systems.


Hidden Costs of Specialized Call Center QA Software

Many contact centers already use Auto-QA or standalone QA tools but few realize the hidden costs of staying siloed.

Below we've outlined some of the hidden costs, and missed opportunities for growth that come with using a specialized call center QA software.

4 Hidden Costs of Specialized QA Software

1. Missed Connections

  • Missed Connections Icon

    Without integrating QA data into broader performance management KPIs like customer satisfaction (CSAT), average handle time (AHT), and first call resolution (FCR), it's impossible to see exactly how agent quality impacts your overall performance.

2. Blind Spots

  • Operational Challenges Icon

    When QA operates independently, leaders struggle to identify the root causes of negative trends. Are long hold times caused by inadequate agent training or overly complicated processes? Integrating QA findings with operational data provides the answers.

3. Reactive vs. Proactive

  • Disconnected QA Icon

    Disconnected QA from the rest of your contact center data means constantly putting out fires instead of strategically improving your contact center. Integrated performance management allows you to spot emerging issues before they become full-blown crises.

4. Wasted Coaching Opportunties

  • Wasted Coaching Opportunities Icon

    Effective agent coaching requires context. By linking QA insights with agent performance metrics, team leaders can deliver targeted guidance that drives measurable improvement, not just generic advice.

The best call center quality assurance software doesn’t just generate insights, it turns them into action unlocking the full potential of all your call center analytics data.


Call Center Quality Assurance Software Features

The best call center quality assurance software delivers more than just basic call monitoring.

Below, we’ve outlined the must-have QA software features that drive AI-powered automation, compliance tracking, and performance optimization.

QA Feature Description & Importance
Auto-Summaries AI-powered LLMs break down long call interactions into concise, structured summaries, reducing manual effort and improving efficiency.
Sentiment Analysis Evaluates customer tone and emotional cues in conversations, providing insights into customer satisfaction and potential service issues.
Keyword & Phrase Spotting Flags critical words or phrases related to compliance, sales opportunities, or emerging customer concerns for real-time monitoring.
Predictive Analytics Uses historical trends and AI modeling to identify risks before they escalate, helping managers proactively improve performance.
Topic Identification AI clusters call topics to reveal recurring issues, enabling data-driven decision-making on process improvements and training needs.
Call Monitoring & Recording Enables random sampling or AI-driven flagging of calls for compliance and training analysis, improving quality assurance coverage.
Interaction Scoring Automates agent evaluations using AI-powered scorecards for consistency and fairness in performance assessments.
Performance Analytics & Reporting Provides customizable dashboards and reports to track KPIs, compliance trends, and agent performance over time.
Coaching & Development Tools Links QA insights to coaching workflows, ensuring agents receive targeted training based on performance gaps.

Not all QA tools possess these capabilities, use your discretion on the features that matter most to your contact center.


Call Center Quality Assurance Software Evaluation Criteria

Choosing the right call center quality assurance software comes down to key evaluation factors. Below, we’ve outlined the essential criteria to ensure your QA platform delivers maximum ROI, scalability, and AI-driven efficiency.

Evaluation Criteria Why It Matters
Full Data Integration AI is only as powerful as the data it processes. The best QA software unifies all call center data including; CRM, CCaaS, Speech Analytics, Flat files, and Homegrown Apps into a single system.
Customer Success & Support A true QA partner doesn’t just sell software, they ensure a successful implementation, continuous optimization, and expert support to maximize ROI.
Time to Deployment Rapid implementation ensures faster ROI. (make sure this is not at the cost of a quality implementation faster is not always better)
AI-Powered Performance Enablement Beyond insights—AI-driven QA should recommend coaching actions, track performance trends, and guide managers toward data-backed improvements.
Role-Based Dashboards Customizable dashboards for agents, managers, and QA teams ensure performance data is actionable at every level of the organization.
Coaching & Recognition QA should not just identify problems—it should actively support coaching and agent recognition, reinforcing positive behaviors.
Compliance & Security Top QA software ensures adherence to industry regulations (e.g., PCI, HIPAA) while maintaining strict data security protocols.
Conversational Intelligence Beyond compliance, AI-driven insights should detect trends in sentiment, behaviors, and customer needs for strategic decision-making.
CCaaS & CRM Integrations Seamless integration with platforms like Five9, NICE, Genesys, and Talkdesk ensures QA insights are fully embedded into contact center workflows.
Scalability A QA solution should scale across multiple teams, locations, and languages, ensuring performance insights grow with the organization.

11 Best Call Center Quality Assurance Software (2025)

All of the 11 Best Call Center Quality Assurance (QA) Software we've featured here have impressive technology and great teams backing them. It wasn't easy to decide on the order, the ones with the most 'complete' quality and compliance capabilities balanced with the criteria are closer to the top.

We've included a top feature breakdown in each review as a quick guide.

  1. AmplifAI
  2. Nice CXone
  3. CallMiner
  4. Talkdesk
  5. Enthu.AI
  6. Observe.AI
  7. Balto.ai
  8. Convin
  9. LevelAI
  10. Maestro QA
  11. ScorebuddyQA

Editor's note:

This guide provides in-depth looks at each call center quality assurance software, helping you find the perfect fit for your contact center. But the best choice is the one that aligns with your unique goals and team, so explore those demos and ask how these solutions can help you accomplish your specific goals.


1. AmplifAI

AmplifAI: Most complete call center quality assurance software
See how AmplifAI call center quality assurance software automates QA and drives performance.

What Makes AmplifAI the Best Call Center Quality Assurance Software of 2025?

AmplifAI is the industry-leading call center quality assurance software, combining AI-driven Auto-QA, intelligent coaching, and real-time performance insights. Unlike traditional QA tools, AmplifAI turns quality data into measurable agent improvement, ensuring QA directly enhances performance and compliance.

Feature Comparison: AmplifAI Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries AI-powered Auto QA generates auto-scored summaries for interactions, reducing manual effort. Auto-Summaries-Full Full
Sentiment Analysis Auto flags customer experience, quality & compliance violations. Sentiment-Analysis-Full Full
Keyword & Phrase Spotting Integrated transcription allows keyword and phrase identification. Keyword-Phrase-Spotting-Full Full
Predictive Analytics Uses AI to analyze trends, connect QA scores, and identify potential issues before they escalate. Predictive-Analytics-Limited Limited
Topic Identification AI-driven transcription and clustering surface recurring call topics. Topic-Identification-Full Full
Call Monitoring & Recording Call monitoring and recording. Quality and compliance flags. Call-Monitoring-Recording-Full Full
Interaction Scoring Auto QA provides automated scoring to ensure consistent agent evaluations. Interaction-Scoring-Full Full
AI-Driven Performance Management AI forecasts agent & team performance. Org-wide visibility aligns frontline & leadership insights. AI-Driven-Performance-Management-Full Full
AI-Driven Coaching & Development Next Best Action engine dynamically prioritizes coaching. AI guides leaders on structured coaching strategies. AI-Driven-Coaching-Development-Full Full

Standout Features & Unique Capabilities of AmplifAI

  • AI-Driven Unified Data Hub: Unlike other QA software that rely on static or limited integrations, AmplifAI connects to 150+ data sources, ensuring a continuously updated AI-ready data hub across CCaaS, CRM, WFM, and Quality systems.
  • AI-Powered Coaching & Development : AI automatically scores interactions and suggests coaching actions, closing the feedback loop instantly. Uses AI to recommend next best coaching actions tailored to high and low-performing agents.
  • Real-Time Performance Insights for Every Role: Org-wide transparency allows leaders, managers, and frontline agents to instantly see where they stand and how to improve, replacing delayed insights with real-time decision-making
  • Data Unification & Integration: No IT bottlenecks, no system limitations. Whether your data lives in CRM, CCaaS, surveys, homegrown systems, or legacy files, AmplifAI unifies it all—ensuring a true single source of truth for performance management.

Best Fit: Who Should Use AmplifAI?

  • Mid-sized to enterprise contact centers (50+ agents) looking to unify performance, QA, and coaching with AI-driven insights.
  • Growing contact centers that need scalable solutions—organizations under 50 agents can still benefit, but the impact increases as teams expand.
  • Contact Center Leaders focused on optimizing QA and coaching workflows to move beyond manual, time-consuming evaluation processes.
  • Organizations seeking to replace subjective QA evaluations with structured, data-driven coaching and performance management.

Considerations: What to Keep in Mind Before Choosing AmplifAI

  • Contact centers with less than 19 agents may find AmplifAI exceeds their requirements. Contact centers with 19+ agents see the most ROI from AmplifAI
  • AmplifAI is designed to be a strategic partner, a centerpiece of your contact center's performance improvement strategy. Organizations that see the value in leveraging data-driven coaching and AI automation will see the greatest ROI.

Final Verdict: Is AmplifAI the Right Call Center Quality Assurance Software for You?

AmplifAI is the best choice for contact centers seeking a call center quality assurance (QA) software with a cutting-edge, comprehensive, and AI-Enabled approach to QA. AmplifAI's industry-leading Generative AI has earned it recognition as a 2024 Gartner Cool Vendor. AmplifAI's impressive 4.8-star rating, 200,000+ users, impressive roster of 150+ brands and BPOs make AmplifAI the top choice on our list for the best call center QA software.


2. Nice CXOne

Nice CXOne call center quality assurance software
Nice CXOne enterprise call center quality assurance software with workforce optimization tools.

What Makes Nice CXOne the Best Enterprise Call Center Quality Assurance Software?

Nice CXone is an enterprise-grade call center quality assurance software designed for large-scale operations. It offers omnichannel interaction monitoring, compliance tracking, and workforce optimization tools, making it ideal for contact centers managing high call volumes and complex operational needs.

Feature Comparison: Nice CXOne Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Uses AI-powered speech analytics to summarize call interactions, reducing manual effort. Auto-Summaries-Full Full
Sentiment Analysis Identifies customer sentiment in interactions but lacks coaching tie-ins. Sentiment-Analysis-Full Full
Keyword & Phrase Spotting Detects specific words and phrases in calls for compliance and sales monitoring. Keyowrd-Phrase-Spotting-Full Full
Predictive Analytics Uses AI to identify risk trends but does not proactively forecast agent performance. Predictive-Analytics-Full Full
Topic Identification AI categorizes customer interactions but does not unify insights across platforms. Topic-Identification-Full Full
Call Monitoring & Recording Standard call recording & monitoring for QA but lacks deep AI-powered contextual scoring. Call-Monitoring-Recording-Full Full
Interaction Scoring AI-assisted scoring but does not connect with coaching workflows. Interaction-Scoring-Full Full
AI-Driven Performance Management Lacks AI-driven performance enablement; focuses on reporting, not proactive performance management for contact center leaders. AI-Driven-Performance-Management-Limited Limited
AI-Driven Coaching & Development Does not offer AI-driven coaching recommendations or Next Best Action guidance holistically. Prompts to agents only. AI-Driven-Coaching-Development-Limited Limited

Standout Features & Unique Capabilities of Nice CXOne

NICE CXone’s strength lies in its enterprise-ready compliance monitoring, omnichannel sentiment analysis, and deep QA reporting. Its Workforce Optimization (WFO) suite also allows for forecasting and scheduling, though it lacks AI-driven coaching.

Best Fit: Who Should Use Nice CXOne?

  • Enterprise Contact Centers: Designed for large-scale operations needing quality assurance, compliance tracking, and workforce optimization within a unified enterprise platform.
  • Organizations with IT & Implementation Resources: Requires extensive customization and integration work, making it best suited for contact centers with dedicated IT teams and enterprise-scale budgets.

Considerations: What to Keep in Mind Before Choosing Nice CXOne

  • Best suited for enterprise contact centers leveraging the full suite of NICE CXone tools.
  • NICE CXone connects with various enterprise platforms but lacks a true Unified Data Hub. Data silos can persist depending on system configurations.
  • Cost-prohibitive for medium-sized contact centers.

Final Verdict: Is Nice CXOne the Right Call Center Quality Assurance Software for You?

NICE CXOne offers a robust suite of QA tools as part of its enterprise-grade contact center solution. Designed for large-scale operations, it provides extensive features for quality management, analytics, and workforce optimization, making it a powerful option for contact centers with complex needs.


3. CallMiner

CallMiner call center quality assurance software
CallMiner call center quality assurance software specializing in compliance monitoring and sentiment analytics.

What Makes CallMiner the Best Compliance-Focused Call Center Quality Assurance Software?

CallMiner is a compliance-driven call center quality assurance software specializing in deep conversational analytics and risk detection. With AI-powered sentiment analysis and compliance monitoring, it helps contact centers in regulated industries ensure strict adherence to quality and legal standards.

Feature Comparison: CallMiner Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Provides AI-driven transcription and analysis but lacks automated summarization of interactions. Auto-Summaries-Full Full
Sentiment Analysis Utilizes natural language processing to assess sentiment and emotion in customer interactions. Sentiment-Analysis-Full Full
Keyword & Phrase Spotting Employs speech analytics to detect specific words and phrases for compliance and performance monitoring. Keyword-Phrase-Spotting-Full Full
Predictive Analytics Focuses on root cause analysis and trend identification but does not offer predictive forecasting of agent performance. Predictive-Analytics-Limited Limited
Topic Identification Identifies common issues and patterns in customer interactions to pinpoint root causes of dissatisfaction. Topic Identification-Full Full
Call Monitoring & Recording Offers diarized, high-quality, stereo call recording with live monitoring capabilities. Call-Monitoring-Recording-Full Full
Interaction Scoring Automates scoring of agent performance based on predefined criteria for consistent evaluations. Interaction-Scoring-Full Full
AI-Driven Performance Management Provides real-time agent feedback and coaching capabilities but lacks comprehensive AI-driven performance management. AI-Driven_Performance-Management-Limited Limited
AI-Driven Coaching & Development Offers real-time agent feedback and coaching capabilities but lacks comprehensive AI-driven coaching and development features. AI-Driven-Coaching-Development-Limited Limited

Standout Features & Unique Capabilities of CallMiner

CallMiner specializes in AI-driven conversational intelligence, making it a strong choice for contact centers needing compliance oversight, customer sentiment tracking, and large-scale analytics across multiple channels.

Best Fit: Who Should Use CallMiner?

  • Contact centers with a heavy emphasis on regulatory compliance, especially those with strict adherence requirements.
  • Organizations seeking deep insights into customer sentiment and conversational patterns for broader product or marketing initiatives.
  • Contact centers handling a high volume of interactions across diverse channels (voice, chat, email, etc.).

Considerations: What to Keep in Mind Before Choosing CallMiner

  • CallMiner’s strength lies in compliance monitoring and AI-powered transcription, not coaching or performance management. Teams looking for direct coaching integrations may prefer a platform with built-in coaching workflows.

Final Verdict: Is CallMiner the Right Call Center Quality Assurance Software for You?

CallMiner offers a comprehensive call center QA software that excels in conversation analytics and compliance oversight. Utilizing advanced AI, it provides deep insights into customer interactions across multiple channels, enhancing decision-making and regulatory adherence in complex contact center environments.


4. Talkdesk

Talkdesk call center quality assurance software
Talkdesk call center quality assurance software integrated within its CCaaS platform.

What Makes Talkdesk the Best Call Center Quality Assurance Software for CCaaS Integration?

Talkdesk integrates call center quality assurance software within its broader CCaaS platform, providing end-to-end contact center management. It combines QA automation, real-time analytics, and workforce optimization, making it a strong choice for businesses looking for a unified ecosystem.

Feature Comparison: Talkdesk Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries QM Assist™ utilizes AI to extract insights from interaction transcripts, including customer sentiment analysis and automated scoring. Auto-Summaries-Full Full
Sentiment Analysis Leverages AI to assess customer sentiment during interactions, aiding in understanding customer emotions and improving service quality. Sentiment-Analysis-Full Full
Keyword & Phrase Spotting Employs speech analytics to detect specific words and phrases in real-time, facilitating compliance monitoring and performance assessments. Keyword-Phrase-Spotting-Full Full
Predictive Analytics Focuses on analyzing past interactions to identify trends but lacks proactive forecasting of agent performance. Predictive-Analytics-Limited Limited
Topic Identification AI-driven analysis identifies common issues and patterns in customer interactions, aiding in pinpointing root causes of dissatisfaction. Topic-Identification-Full Full
Call Monitoring & Recording Offers real-time call monitoring and recording, enabling supervisors to listen to live calls and provide immediate feedback. Call-Monitoring-Recording-Full Full
Interaction Scoring Allows creation of customizable scorecards for consistent and objective evaluation of agent interactions. Interaction-Scoring-Full Full
AI-Driven Performance Management Provides tools for tracking agent performance and incorporating gamification but lacks comprehensive AI-driven performance management features. AI-Driven-Performance-Management-Limited Limited
AI-Driven Coaching & Development Facilitates targeted coaching through time-stamped comments and reactions but does not offer AI-driven coaching recommendations or Next Best Action guidance. AI-Driven-Coaching-Development-Limited Limited

Standout Features & Unique Capabilities of Talkdesk

  • Integrated Quality Management: Talkdesk's QM functionality is integrated within its broader contact center platform, providing a centralized solution for quality assurance. ​
  • AI-Enabled Efficiency: Features like QM Assist™ leverage AI to streamline quality management processes, including automated scoring and sentiment analysis.

Best Fit: Who Should Use Talkdesk?

  • Mid to Large-Sized Contact Centers: Organizations seeking a fully integrated contact center platform where Quality Management is one component of a broader suite of tools.​
  • Existing Talkdesk Users: Companies already utilizing other Talkdesk solutions and looking to consolidate their technology stack.​
  • Contact Centers Focused on Compliance and Performance Monitoring: Organizations already using Talkdesk and requiring additional tools for compliance monitoring, and performance assessments.

Considerations: What to Keep in Mind Before Choosing Talkdesk

  • Integration with Existing Systems: For organizations not already using Talkdesk, adopting their QM solution might require significant integration efforts with existing systems.​
  • Feature Depth: While offering comprehensive QM tools, some advanced features like predictive analytics and AI-driven coaching are limited.

Final Verdict: Is Talkdesk the Right Call Center Quality Assurance Software for You?

Talkdesk offers a robust and integrated Quality Management solution within its cloud-based contact center platform. With features like AI-enabled efficiency, customizable evaluations, and real-time monitoring, it caters well to mid to large-sized contact centers aiming to enhance agent performance and customer satisfaction.


5. Enthu.AI

Enthu.AI Call Center Quality Assurance Software
Enthu.AI call center quality assurance software with sales-focused QA and AI-driven call scoring.

What Makes Enthu.AI the Best Call Center Quality Assurance Software for Sales Teams?

​Enthu.ai is a call center quality assurance software designed to optimize sales and outbound performance. It leverages AI-driven call scoring, sentiment analysis, and script adherence tracking to help sales teams improve objection handling and conversion rates.

Feature Comparison: Enthu.AI Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Utilizes AI to generate concise summaries of customer interactions, highlighting key insights and saving time on manual reviews. Auto-Summaries-Full Full
Sentiment Analysis Detects and analyzes customer emotions during interactions, enabling agents to tailor responses and improve engagement. Sentiment-Analysis-Full Full
Keyword & Phrase Spotting Employs speech analytics to identify specific words and phrases, aiding in compliance monitoring and performance assessments. Keyword-Phrase-Spotting-Full Full
Predictive Analytics Focuses on analyzing past interactions to identify trends but lacks proactive forecasting of agent performance. Predictive-Analytics-Limited Limited
Topic Identification AI-driven analysis identifies common issues and patterns in customer interactions, aiding in pinpointing root causes of dissatisfaction. Topic-Identification-Full Full
Call Monitoring & Recording Offers real-time call monitoring and recording, enabling supervisors to listen to live calls and provide immediate feedback. Call-Monitoring-Recording-Full Full
Interaction Scoring Allows creation of customizable scorecards for consistent and objective evaluation of agent interactions. Interaction-Scoring-Full Full
AI-Driven Performance Management Provides tools for tracking agent performance but lacks comprehensive AI-driven performance management features. AI-Driven-Performance-Management-Limited Limited
AI-Driven Coaching & Development Facilitates targeted coaching through time-stamped comments and reactions but does not offer AI-driven coaching recommendations or Next Best Action guidance. AI-Driven Coaching-Development-Limited Limited

Standout Features & Unique Capabilities of Enthu.ai

  • Sales Performance Enhancement: Enthu.AI's AI-driven insights analyze customer interactions to identify successful sales tactics and areas needing improvement, thereby boosting sales effectiveness.
  • Appointment Scheduling Optimization: By identifying and resolving scheduling bottlenecks, Enthu.AI enhances efficiency and reduces patient wait times, particularly benefiting healthcare contact centers.

Best Fit: Who Should Use Enthu.AI?

  • Small to Mid-Sized Contact Centers: Organizations seeking to automate their QA processes without extensive resources.​
  • Sales-Focused Contact Centers: Best suited for outbound sales, telesales, and collections teams that need detailed call scoring, keyword spotting, and objection handling analysis.

Considerations: What to Keep in Mind Before Choosing Enthu.ai

  • The effectiveness of Enthu.AI's call center QA software may depend on the accessibility of data from integrated systems.
  • Scope of AI-Driven Coaching: The platform facilitates targeted coaching but lacks advanced AI-driven coaching recommendations or Next Best Action guidance.

Final Verdict: Is Enthu.AI the Right Call Center Quality Assurance Software for You?

Enthu.AI presents a specialized solution for call center quality assurance, focusing on automation and actionable insights. Its features cater well in small-medium sized organizations aiming to streamline QA processes and enhance agent performance especially in sales.


5. Observe AI

Observe AI call center quality assurance software
Observe.AI call center quality assurance software with real-time speech analytics and compliance tracking.

What Makes Observe.ai the Best Call Center Quality Assurance Software for Real-Time Compliance?

Observe.ai enhances call center quality assurance software with real-time speech analytics and compliance monitoring. It provides live AI-driven transcription and Auto-QA to help contact centers ensure compliance while delivering high-quality customer interactions.

Feature Comparison: Observe.ai Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries AI generates summaries based on interaction transcripts, improving efficiency in quality reviews. auto-summaries-full Full
Sentiment Analysis Detects customer emotions during calls but lacks structured AI-driven coaching integrations. sentiment-analysis-full Full
Keyword & Phrase Spotting Uses speech analytics to flag compliance risks, sales triggers, and performance trends. keyword-phrase-spotting-full Full
Predictive Analytics Focuses on post-call trend analysis but lacks proactive AI forecasting for agent performance. predictive-analytics-limited Limited
Topic Identification AI clusters customer conversations by recurring themes to help teams understand key issues. topic-identification-full Full
Call Monitoring & Recording Enables real-time call monitoring and recording with AI-assisted compliance tracking. call-monitoring-recording-full Full
Interaction Scoring Automates QA scoring based on predefined scorecards but lacks personalized coaching recommendations. interaction-scoring-limited Limited
AI-Driven Performance Management Focuses on compliance & QA automation but lacks AI-driven performance tracking & enablement. ai-driven-performance-management-na N/A
AI-Driven Coaching & Development Provides real-time agent assist but does not deliver structured AI-driven coaching workflows. ai-driven-coaching-development-limited Limited

Standout Features & Unique Capabilities of Observe.ai

  • Real-Time Speech Analytics & Agent Assist: Helps agents adjust responses live but not structured for AI-driven coaching.

Best Fit: Who Should Use Observe.AI?

  • Teams Prioritizing Real-Time QA & Speech Analytics: Ideal for contact centers that need real-time QA insights, sentiment analysis, and speech analytics but not predictive coaching or long-term agent development.
  • Contact Centers Focused on AI-Powered QA & Compliance: Best for teams needing automated call scoring, real-time compliance monitoring, and AI-driven transcription rather than structured coaching.

Considerations: What to Keep in Mind Before Choosing Observe.ai

  • Lacks AI-driven performance management.
  • No structured coaching workflows—focuses on agent assist, not AI-driven training.

Final Verdict: Is Observe.AI the Right Call Center Quality Assurance Software for You?

Observe.AI is a strong choice for compliance-heavy call centers needing AI-powered quality assurance and real-time analytics. However, if you need structured AI-driven coaching, performance tracking, or workforce optimization, you may need a more comprehensive solution.


7. Balto.ai

Balto call center quality assurance software
Balto.AI call center quality assurance software offering real-time agent guidance and coaching.

What Makes Balto.AI the Best Call Center Quality Assurance Software for Live Agent Guidance?

Balto.ai focuses on real-time agent guidance within call center quality assurance software, offering AI-powered live coaching and script adherence monitoring. It helps agents navigate complex conversations by providing in-the-moment prompts to improve compliance and performance.

Feature Comparison: Balto.ai Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Provides customizable call summary information post-call, aiding in efficient ticketing and documentation. auto-summaries-full Full
Sentiment Analysis Offers real-time sentiment analysis to gauge customer emotions during interactions. sentiment-analysis-full Full
Keyword & Phrase Spotting Utilizes AI to detect specific keywords and phrases, ensuring compliance and script adherence. keyword-phrase-spotting-full Full
Predictive Analytics Lacks predictive analytics for forecasting agent performance trends. predictive-analytics-na N/A
Topic Identification Does not offer AI-driven topic clustering; relies on manual data entry for categorization. topic-identification-na N/A
Call Monitoring & Recording Supports real-time call monitoring and recording for immediate QA purposes. call-monitoring-recording-full Full
Interaction Scoring Provides AI-driven scoring based on agent adherence to best practices and compliance guidelines. interaction-scoring-full Full
AI-Driven Performance Management Lacks comprehensive AI-driven performance management features; focuses primarily on real-time guidance. ai-driven-performance-management-limited Limited
AI-Driven Coaching & Development Offers real-time coaching alerts for supervisors to intervene during live calls. ai-driven-coaching-development-limited Limited

Standout Features & Unique Capabilities of Balto.ai

  • Real-Time Agent Guidance: Provides dynamic prompts and suggestions during live calls, enhancing agent performance and ensuring compliance. ​

Best Fit: Who Should Use Balto.ai?

  • Contact Centers Emphasizing Real-Time Guidance: Ideal for organizations aiming to enhance agent performance during live interactions.
  • Sales & Customer Service Teams Needing Live Agent Assist: Best suited for sales-driven contact centers, outbound teams, and service operations looking to increase conversions and improve compliance through real-time coaching.

Considerations: What to Keep in Mind Before Choosing Balto.ai

  • Balto's emphasis on real-time guidance is very advantageous in overall QA monitoring and compliance.
  • Balto is a great choice for contact centers less focused on coaching and more focused on delivering real-time assistance to their agents.

Final Verdict: Is Balto.ai the Right Call Center Quality Assurance Software for You?

Balto.ai is a strong choice for contact centers that prioritize real-time agent guidance, script adherence, and compliance tracking. Its QA Copilot and Live Agent Assist help agents course-correct in real time, making it an excellent fit for sales-focused teams and high-volume service centers needing immediate feedback loops.

However, Balto is not a full-scale QA automation or coaching platform—it focuses on live interactions, not post-call performance management or deep AI-driven coaching workflows.


8. Convin.ai

Convin.ai call center quality assurance software
Convin call center quality assurance software with automated QA scoring and performance tracking.

What Makes Convin the Best Call Center Quality Assurance Software for Automated QA?

Convin is an AI-powered call center quality assurance software designed to automate QA processes. With AI-driven call analysis and automated scoring, it helps contact centers reduce manual QA workloads while ensuring consistent compliance and performance tracking.

Feature Comparison: Convin Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Provides detailed summaries of customer interactions, aiding in efficient documentation and follow-ups. auto-summaries-full Full
Sentiment Analysis Analyzes customer emotions during interactions to assess satisfaction levels and identify areas for improvement. sentiment-analysis-full Full
Keyword & Phrase Spotting Utilizes AI to detect specific keywords and phrases, ensuring compliance and script adherence. keyword-phrase-spotting-full Full
Predictive Analytics Lacks predictive analytics for forecasting agent performance trends. predictive-analytics-na N/A
Topic Identification Does not offer AI-driven topic clustering; relies on manual data entry for categorization. topic-identification-na N/A
Call Monitoring & Recording Supports real-time call monitoring and recording for immediate QA purposes. call-monitoring-recording-full Full
Interaction Scoring Provides AI-driven scoring based on agent adherence to best practices and compliance guidelines. interaction-scoring-full Full
AI-Driven Performance Management Lacks comprehensive AI-driven performance management features; focuses primarily on real-time guidance. ai-driven-performance-management-limited Limited
AI-Driven Coaching & Development Offers real-time coaching alerts for supervisors to intervene during live calls but does not offer comprehensive organization-wide coaching integration. ai-driven-coaching-development-limited Limited

Standout Features & Unique Capabilities of Convin

  • Agent Assist: Provides real-time guidance and support to agents during interactions, ensuring adherence to best practices and compliance standards.
  • Learning Management System: Integrates a knowledge base that stores all uploaded documents, allowing agents to quickly find accurate answers and procedures.

Best Fit: Who Should Use Convin.ai?

  • Small to Mid-sized Contact Centers: looking for automated QA without AI performance management that need a plug-and-play QA solution without extensive AI-driven performance management will find Convin.ai a practical choice.
  • Contact Centers Needing an Out-of-the-Box QA Solution: Best for organizations looking for a simpler setup compared to more complex competitors.

Considerations: What to Keep in Mind Before Choosing Convin

  • Convin.ai is not built for workforce analytics or AI-driven coaching. While it excels at conversation analytics and compliance monitoring, Convin does not provide Next Best Action AI or automated coaching pathways.
  • Not Designed for Large-Scale AI-Driven Performance Management . Small-Mid-sized contact centers will find Convin.ai easy to implement, but enterprises looking for fully automated QA at scale may need a more robust AI-driven solution.

Final Verdict: Is Convin the Right Call Center Quality Assurance Software for You?

Convin is a solid option for contact centers looking for a solution specializing in compliance monitoring, conversational analysis, and integrated coaching workflows. Its emphasis on user-friendliness and actionable insights can help teams improve agent performance and quality outcomes.


9. LevelAI

LevelAI call center quality assurance software
LevelAI call center quality assurance software for real-time customer interaction analysis.

What Makes LevelAI the Best Call Center Quality Assurance Software for Real-Time Analytics?

LevelAI provides AI-driven real-time analytics within call center quality assurance software, offering automated call monitoring, sentiment detection, and interaction insights. It enables contact centers to analyze customer interactions instantly and optimize agent performance on the fly.

Feature Comparison: Level AI Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Provides AI-generated summaries. auto-summaries-full Full
Sentiment Analysis Detects customer sentiment but lacks deep contextual understanding for coaching integration. sentiment-analysis-limited Limited
Keyword & Phrase Spotting Flags key phrases in conversations but may generate false positives without refinement. keyword-phrase-spotting-full Full
Predictive Analytics Provides historical trend analysis but lacks proactive recommendations for agent improvement. predictive-analytics-limited Limited
Topic Identification Groups conversations by recurring topics, useful for compliance but not linked to coaching workflows. topic-identification-limited Limited
Call Monitoring & Recording Includes real-time and post-call monitoring but does not automatically highlight training opportunities. call-monitoring-recording-full Full
Interaction Scoring AI assigns quality scores based on predefined rules. interaction-scoring-full Full
AI-Driven Performance Management Tracks agent performance but lacks next best coaching recommendations or structured enablement tools. ai-driven-performance-management-limited Limited
AI-Driven Coaching & Development Does not include AI-driven coaching workflows; relies on managers for agent development. ai-driven-coaching-development-na N/A

Standout Features & Unique Capabilities of LevelAI

LevelAI offers notable real-time analytics and automated feedback, supporting immediate enhancements in customer interactions with AI-driven insights.

Best Fit: Who Should Use Level AI?

  • Small to Mid-Sized Contact Centers: Best suited for operations that prioritize real-time conversational analytics over structured coaching workflows.
  • Outbound Sales & Collections Teams – Teams that require keyword spotting and sentiment analysis to track adherence to sales scripts and compliance requirements.
  • Contact Centers Seeking Auto-QA Without Coaching: Organizations looking for automated interaction scoring but not AI-driven coaching will find value in Level AI’s speech analytics.

Considerations: What to Keep in Mind Before Choosing LevelAI

  • Limited QA-to-Coaching Integration: While LevelAI offers interaction scoring, it does not connect scores to automated coaching workflows.

Final Verdict: Is Level AI the Right Call Center Quality Assurance Software for You?

LevelAI is a good fit for contact centers prioritizing real-time conversational intelligence and compliance tracking. Its analytics and post-call insights support teams focused on QA and regulatory adherence. However, organizations seeking AI-driven coaching, structured performance management, and predictive insights may need a more advanced solution.


10. MaestroQA

MaestroQA call center quality assurance software
MaestroQA call center quality assurance software built for manual QA and structured evaluation.

What Makes MaestroQA the Best Call Center Quality Assurance Software for Manual QA?

MaestroQA is a hands-on call center quality assurance software tailored for teams that require manual scoring, structured QA workflows, and detailed analytics. It is ideal for contact centers that prioritize structured evaluation processes and calibration workflows for consistent quality monitoring.

Feature Comparison: MaestroQA Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries Offer AI-powered auto-summaries; relies on manual QA oversight. auto-summaries-full Full
Sentiment Analysis No AI-driven sentiment analysis; evaluations rely on human interpretation. sentiment-analysis-na N/A
Keyword & Phrase Spotting Offers basic keyword tracking but lacks AI-driven phrase detection. keyword-phrase-spotting-limited Limited
Predictive Analytics No predictive analytics or AI-driven forecasting. predictive-analytics-na N/A
Topic Identification Provides manual tagging and categorization of call topics. topic-identification-limited Limited
Call Monitoring & Recording Supports manual review and scoring of recorded calls. call-monitoring-recording-full Full
Interaction Scoring Provides customizable scorecards for manual QA evaluations. interaction-scoring-full Full
AI-Driven Performance Management No AI-driven performance optimization features. ai-driven-performance-management-na N/A
AI-Driven Coaching & Development Provides structured coaching but lacks automated AI coaching recommendations. ai-driven-coaching-development-limited Limited

Standout Features & Unique Capabilities of MaestroQA

Maestro QA excels in providing detailed analytics and structured feedback, enabling precise and consistent evaluations across team interactions.

  • Provides detailed scorecard evaluations and robust manual calibration tools to ensure fairness and consistency in QA scoring.

Best Fit: Who Should Use MaestroQA?

  • Contact Centers That Require Detailed Manual QA: Ideal for teams needing structured evaluation and calibration tools for manual quality assurance processes.
  • Teams Focused on Consistency in Evaluations: Best for organizations that prioritize fair, standardized agent assessments across all customer interactions.

Considerations: What to Keep in Mind Before Choosing MaestroQA

  • MaestroQA puts a strong emphasis on manual feedback.

Final Verdict: Is MaestroQA the Right Call Center Quality Assurance Software for You?

MaestroQA is an ideal solution for contact centers that prioritize structured manual QA evaluation over AI-driven automation. Its customizable scorecards, QA calibration, and detailed analytics make it a strong choice for teams that want complete control over their QA process.

However, organizations looking for predictive AI insights, automated agent coaching, or real-time QA automation may need a more AI-driven platform.


11. Scorebuddy QA

ScorebuddyQA call center quality assurance software
Scorebuddy QA call center quality assurance software with customizable QA scorecards and agent feedback tools.

What Makes Scorebuddy QA the Best Call Center Quality Assurance Software for Simple QA Scoring?

Scorebuddy QA is a user-friendly call center quality assurance software that simplifies the QA process with customizable scorecards and agent feedback tools. It is designed for contact centers looking for an easy-to-use, structured QA solution without complex AI-driven automation.

Feature Comparison: Scorebuddy QA Call Center Quality Assurance Software

QA Software Feature Feature Notes Rating
Auto-Summaries No AI-driven auto-summary feature; relies on manual review. auto-summaries-na N/A
Sentiment Analysis No real-time sentiment analysis capabilities. sentiment-analysis-na N/A
Keyword & Phrase Spotting Offers manual keyword tagging but lacks AI-powered phrase detection. keyword-phrase-spotting-limited Limited
Predictive Analytics Does not offer predictive trend forecasting or AI-driven insights. predictive-analytics-na N/A
Topic Identification Lacks AI-driven topic clustering; relies on manual data entry for categorization. topic-identification-na N/A
Call Monitoring & Recording Supports manual call monitoring and scoring but lacks real-time AI-powered monitoring. call-monitoring-recording-limited Limited
Interaction Scoring Core feature—offers customizable manual QA scorecards for agent evaluations. interaction-scoring-full Full
AI-Driven Performance Management Does not offer AI-driven performance enablement; focuses on manual reporting. ai-driven-performance-management-na N/A
AI-Driven Coaching & Development Provides manual coaching tools but lacks AI-driven personalized coaching recommendations. ai-driven-coaching-development-limited Limited

Standout Features & Unique Capabilities of Scorebuddy QA

Scorebuddy is noted for its simplicity and affordability, providing streamlined, agent-centric quality assurance tools that are accessible to contact centers of all sizes. (Free trial available)

Best Fit: Who Should Use Scorebuddy QA?

  • Small to Mid-Sized Contact Centers: Ideal for teams without complex AI-driven QA needs but still requiring structured evaluation tools.
  • Organizations Focused on Manual QA & Coaching: Businesses looking for structured QA processes without the complexity of AI-powered systems.

Considerations: What to Keep in Mind Before Choosing Scorebuddy QA

  • Scalability: While suitable for contact centers of various sizes, larger organizations should assess the platform's scalability to ensure it meets their evolving needs.​
  • Feature Integration: Evaluate how Scorebuddy's features integrate with existing systems and processes to maximize the platform's benefits.

Final Verdict: Is Scorebuddy QA the Right Call Center Quality Assurance Software for You?

Scorebuddy QA is a simple, user-friendly solution for contact centers that prioritize manual QA over AI-driven automation. If you’re looking for affordable, structured QA with agent engagement tools, Scorebuddy is a great fit. However, larger enterprises or teams looking for predictive analytics and AI-driven coaching may find it limiting


Key Takeaways

Call center quality assurance (QA) software varies greatly to meet a broad spectrum of needs, budgets, and operational complexities.

When choosing the appropriate solution for your contact center, consider these factors:

  • Size and Scope: The right QA software should align with the scale of your operation.
  • AI Capabilities: The level of AI integration can significantly affect the functionality of QA software. Some platforms focus on providing deep, actionable insights through advanced analytics, while others may utilize a more basic AI setup.
  • Features vs. Focus: Determine whether you require a robust, integrated system that covers various aspects of contact center operations or if a more focused QA tool with specific advanced features better aligns with your strategic goals.

The Right Fit Matters

Ultimately, the best call center QA software is the one that aligns with your contact center's specific goals, budget, and team structure. We encourage you to take demo's of the top call center QA software we've featured.

If you need assistance in conducting a full comparison of features don't hesitate to reach out!


Looking for More Contact Center Software Solutions?

If you’re serious about optimizing your call center, these expert-reviewed guides will help you find the best software for every aspect of performance, coaching, and quality assurance.

Want the Best Contact Center Performance Management Software?

👉 Check out our expert-reviewed list of the 11 Best Call Center Performance Management Software of 2025.

Want the Best Call Center Coaching Software?

👉 Check out our expert-reviewed list of the 9 Best Call Center Coaching Software of 2025.

Want the Best Contact Center Gamification Software?

👉 Check out our expert-reviewed list of the 7 Best Call Center Gamification Software of 2025.

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Richard James

Richard James

Director of CX, Web | AmplifAI
AmplifAI on LinkedIntwitter x

Richard is an AI technologies expert with over 15 years of experience in guiding brands to find the right software, AI, and UX solutions to solve their problems. Richard has a deep understanding of customer experience (CX) technologies that positively impact both customers and support agents. With a passion for research and continuous learning, Richard is an advocate for technology that augments, not replaces what makes us human. When not immersed in research, you might find him blazing new trails with his wife Tara and their dogs, or crafting culinary masterpieces in the kitchen.

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