7 Best Contact Center Quality Assurance Software Tools (2026)
Compare the top contact center QA software platforms for AI-driven evaluations, compliance monitoring, automated coaching, and quality management at scale.
Key takeaways
Contact center quality assurance software evaluates customer interactions against key interaction events and KPIs to improve agent performance, compliance, and customer experience.
Key evaluation factors include scoring accuracy, customizable forms and questions, calibration, compliance monitoring, coaching workflows, and fit with your existing CCaaS platform.
Key evaluation factors include scoring accuracy, customizable forms and questions, calibration, compliance monitoring, coaching workflows, and fit with your existing CCaaS platform.
As AI agents take on more conversations, QA software needs to evaluate human and AI agents by the same standards.
Verint is a recognized leader in automated quality management and works with leading CCaaS platforms, including Five9, Talkdesk, and Genesys Cloud CX.
What is the best contact center quality assurance software?
The best contact center quality assurance software in 2026 includes Verint, Five9, Talkdesk, Genesys Cloud CX, NiCE, Amazon Connect, and Cresta.
Among them, Verint is uniquely placed to elevate contact center quality programs with Verint QM Intelligence, which automatically scores up to 100% of interactions for quality, whether handled by human or AI agents, flagging compliance risks and empowering teams to quickly take action with targeted coaching and real-time agent assistance.
Compare each vendor’s scoring automation, compliance, and coaching features, as well as G2 ratings and analyst recognition, to understand which of the top contact center QA solutions belong on your shortlist.
At a glance: how do the best contact center QA software tools compare?
| Platform | Category | G2 rating | Summary |
|---|---|---|---|
| Verint | AI quality management, analytics, and WEM | 4.4/5 | Automated scoring of up to 100% of interactions on the open, CCaaS-agnostic Verint Platform |
| Five9 | CCaaS | 4.1/5 | Agentic quality management within Five9 |
| Talkdesk | CCaaS | 4.4/5 | Generative AI scoring with screen and audio playback |
| Genesys Cloud CX | CCaaS | 4.4/5 | Virtual Supervisor AI scoring and calibration |
| NiCE | CCaaS | 4.3/5 | Generative AI evaluations and compliance recording |
| Amazon Connect | CCaaS | 4.4/5 | Generative AI performance evaluations for AWS-native contact centers |
| Cresta | Conversation intelligence | 4.3/5 | Custom-trained behavioral scoring |
What is contact center quality assurance software?
Contact center quality assurance (QA) software evaluates customer interactions against a set of quality standards, usually an evaluation form with customized questions, to measure agent performance, ensure compliance, and improve the customer experience. Modern QA software uses AI to score every interaction automatically, rather than a small manual sample.
QA software is often grouped with quality management (QM). Technically speaking, the two overlap: QA is the evaluation itself, while quality management is the wider program of scoring, calibration, coaching, and reporting. However, in reality, the two terms are frequently used interchangeably, especially when discussing related software solutions. Most platforms featured on this list cover both.
For a deeper look at how AI and automation change the process, explore our guide to automated quality management for contact centers.
What does contact center QA software do?
| Capability | What it does | Where AI helps |
|---|---|---|
| Interaction capture and recording | Records voice, screen, and digital interactions for review | Accurate transcription; automatic PII redaction |
| Evaluation forms and questions | Defines the behaviors and outcomes each interaction is scored on | Generative AI that creates evaluation questions and forms written in plain language |
| Automated scoring | Scores interactions against evaluation forms | Scoring up to 100% of interactions instead of a sample |
| Calibration and disputes | Keeps scoring consistent and fair across evaluators | Comparing AI and human scores, linking evidence to each score |
| Compliance monitoring | Checks for required disclosures and prohibited language | Real-time alerts; auto-fail rules |
| Coaching and performance | Turns evaluation results into targeted coaching | Automatically identifies skill gaps and recommends coaching actions |
| Reporting and analytics | Tracks quality trends by agent, team, and contact type | Linking quality scores to CSAT, resolution, and cost |
Manual vs. automated QA: what is the difference?
| Manual QA | Automated QA | |
|---|---|---|
| Coverage | A small sample of calls per agent | Up to 100% of voice and digital interactions |
| Speed | Days or weeks after the interaction | Minutes after the interaction ends |
| Consistency | Varies by evaluator | The same criteria applied every time |
| Analyst time | Spent listening and scoring | Spent on calibration, coaching, and improvement |
| Compliance risk | Most violations go unseen | Violations flagged across every interaction |
For more on making the switch, see our guide to replacing manual call monitoring with AI-driven quality.
Why is automated QA more important than ever?
Contact centers have long known that a small QA sample doesn’t show the full picture. What has changed is the cost of that blind spot, and the tools available to close it.
Quality expectations are rising on both sides of the conversation
Customers have little patience for poor service. In Verint’s State of Customer Experience 2026 research, 79% of consumers said they would switch to a competitor after a single bad experience. When only a fraction of interactions are reviewed, the ones that drive churn could be missed.
AI agents need quality assurance too
As AI agents handle more conversations, quality programs have to cover them as well. The same questions apply: did the AI resolve the issue, follow policy, and say only what it should? QA software that scores human and AI agents against the same standards gives leaders one view of quality across the hybrid workforce.
Investment in AI is rising, and QA shows whether it works
Contact center leaders are investing. Verint’s State of Contact Center AI 2026 report found that 87% are increasing spend on agent assist AI, and 94% say AI tools have improved human agent performance. Automated QA is key to how those improvements get measured, interaction by interaction, rather than assumed.
Regulatory pressure demands full coverage
In financial services, insurance, healthcare, collections, and the public sector, a single missed disclosure can carry real risk. Automated QA checks every interaction for required language and flags issues in time to act.
What should you look for in contact center quality assurance software?
Beyond choosing a tool that fits your CCaaS platform and use cases, evaluate QA software on seven criteria: coverage, scoring accuracy, form flexibility, calibration and trust, compliance monitoring, connection to coaching, and published outcomes.
Does it score up to 100% of interactions?
Look for automated scoring across every call, chat, email, and message, not just a sample. Full coverage is what turns QA from a spot check into a reliable view of performance.
How accurate is the scoring?
Automated scores are only as good as the transcript and the model beneath them. Ask how accurate transcription is on your own calls, and how often AI scores match those of your best evaluators.
Can you customize the forms and questions?
Your evaluation forms reflect your business’s priorities. The best tools let you keep your existing criteria, add new ones in plain language, and weight them by importance.
Can supervisors and agents trust the scores?
Calibration, dispute workflows, and evidence linked to each score, such as the transcript moment behind it, help agents accept results and help supervisors keep AI and human scoring aligned.
Does it monitor compliance?
Regulated contact centers need automatic checks for required disclosures and prohibited language, auto-fail rules for critical errors, PII redaction, and an audit trail of every evaluation.
Does it connect quality to coaching?
QA creates value when results change behavior. Look for tools that turn evaluation results into targeted coaching and performance management, and track whether scores improve afterward.
Are the outcomes published and verifiable?
Named customer results with specific figures, such as compliance coverage or cost savings, from organizations of similar size and sector, are the clearest evidence that a QA tool performs in production.
| Evaluation criterion | Why it matters | What to ask vendors | Verint advantage |
|---|---|---|---|
| Coverage | Samples miss most of what happens | Do you score up to 100% of voice and digital interactions? | Verint QMI scores across every channel, human and AI agents |
| Accuracy: Voice | Scores depend on the transcript | How accurate is transcription on our own calls? | Exact Transcription Bot, trained on each customer’s data |
| Accuracy: Screen | Captures screen data for comparison and validation | Can you link desktop activity to the interaction recording or transcript? | Automated Answer Verification flags bi-directional discrepancies between what’s spoken and what’s presented or captured on the desktop |
| Evaluation Forms | QA must reflect your standards | Can we keep our forms and add new questions and criteria in plain language? | Use customizable questions or choose from a pre-built library of questions to go live faster |
| Trust | Agents act on scores they accept | How do calibration and disputes work? | Evidence-backed scores and calibration workflows |
| Compliance | Required in regulated industries | How are disclosures checked and sensitive data redacted? | PII Redaction Bot and compliance recording |
| Coaching | Scores alone change nothing | How do results become coaching? | Supervisors can review and approve AI Coaching Recommendations; automated workflows schedule coaching sessions and track impact |
| Hybrid workforce | AI agents need QA too | Can you evaluate AI agents and human agents together? | One quality standard for human and AI agents |
1. Verint
Verint QM Intelligence (QMI) uses AI to automatically score up to 100% of customer interactions, as part of the open Verint Platform, which brings quality, compliance, speech analytics, coaching, and workforce engagement together alongside any CCaaS, CRM, or desktop.
What makes Verint the top contact center quality assurance software?
- Automated scoring of up to 100% of interactions: Verint QMI evaluates every voice and digital interaction against your customizable scorecards, replacing manual sampling with complete coverage.
- Accurate transcription: Verint’s speech-to-text transcription software is trained and periodically improved on each customer’s own data, so automated scores rest on an accurate record of the conversation.
- Speech and text analytics: Verint Speech Analytics finds the themes, sentiment, and contact drivers behind quality scores, so teams can see why performance changes.
- Compliance built in: PII redaction, compliance recording, and automated checks for required disclosures support regulated contact centers in financial services, insurance, healthcare, and government.
- Coaching that closes the loop: AI Coaching Recommendations identifies performance gaps across individuals, teams, and departments. Supervisors use these insights and automated workflows to deliver targeted, personalized coaching and track its impact.
- Quality for a hybrid workforce: Evaluate human and AI agents by the same standards, so quality covers every conversation.
- Open platform: Verint solutions work with existing telephony and CCaaS platforms, including Five9, Talkdesk, and Genesys Cloud CX, with no rip-and-replace required.
Verint treats quality as part of a connected system rather than a standalone score. Automated evaluations sit on the Verint Platform alongside speech analytics, compliance recording, coaching, and workforce management, so a quality finding can become a coaching session, an operational change, or a fix to an AI agent, without moving data between tools.
Teams can start where the impact is largest, such as automated scoring for one queue or a compliance check for one regulated line of business, and expand over time.
Documented outcomes:
- MSC Industrial Supply Co. increased evaluations by 7,000%, saving more than $12.5 million annually with Verint automated quality management.
- First National Bank (FNB) evaluates 14 times more sales interactions than with manual techniques, with 15% more agents achieving a 90%+ quality score.
- BarkBox raised quality monitoring coverage from 2% to 90% of contacts and achieved a 98% CSAT.
- DenizBank moved from evaluating less than 1% of calls to 100%, and increased quality and compliance scores by 30%.
- A BNP Paribas subsidiary increased agent quality by 38% in five months.
Ratings & Recognition:
G2 Rating: 4.4/5
Recent Analyst Recognition:
- Exemplary Provider in four 2026 ISG Buyers Guides™ for Contact Centers, including Customer Interaction Analytics and Workforce Engagement Management
- 2026 TrustRadius Top Rated Awards: Quality Management, Call Center Workforce Optimization, Transcription, and Conversation Intelligence
Who it’s best for: Enterprise and mid-market contact centers that want AI quality management and compliance monitoring across up to 100% of interactions, for human and AI agents, without replacing their existing CCaaS.
Get a Verint QM Intelligence demo.
2. Five9
Five9 is a cloud contact center (CCaaS) platform whose Agentic Quality Management uses AI to inform routing decisions, review interactions, guide coaching, and feed quality insights back into the contact center.
What does Five9 do well?
- Conversational intelligence: Analyzes up to 100% of interactions to surface quality and performance trends.
- Real-time coaching: Alerts supervisors to coaching opportunities with dynamic, real-time guidance.
- Risk and compliance: Evaluates interactions against consistent standards to help mitigate risk.
- Better together, not either/or: Five9 delivers native integration with Verint, including Verint QM Intelligence, so Five9 customers can add Verint quality and analytics to their Five9 contact center and work with Five9 end to end.
Ratings & Recognition:
G2 Rating: 4.1/5
Recent Analyst Recognition:
- Leader, IDC MarketScape: European Contact Center as a Service 2025
Who it’s best for: Mid-market to enterprise contact centers on Five9 that want quality management built into their CCaaS, with the option to extend it with Verint.
3. Talkdesk
Talkdesk is a cloud-native contact center platform whose Talkdesk Quality Management combines recordings, AI-assisted scoring, and coaching tools inside Talkdesk CX Cloud.
What does Talkdesk do well?
- Automated evaluation: AI-driven automation evaluates up to 100% of interactions.
- Generative AI scoring: Combines keyword-based scoring with generative AI that understands tone, sentiment, and intent.
- Screen and audio review: Plays agents’ screen and audio recordings together, with time-stamped comments for feedback.
- Better together, not either/or: Talkdesk and Verint have a long-standing partnership and integrate natively rather than compete. Verint WFM integrates with Talkdesk CX Cloud through a native connector, so you can adopt both and lean on each platform’s areas of expertise instead of settling for one.
Ratings & Recognition:
G2 Rating: 4.4/5
Recent Analyst Recognition:
- Leader, IDC MarketScape: Worldwide Agentic Contact Center-as-a-Service Platforms 2026
Who it’s best for: Mid-market and enterprise contact centers that want quality management natively inside a fast-deploying cloud contact center.
4. Genesys Cloud CX
Genesys Cloud CX is a cloud-native CCaaS platform whose workforce engagement management suite includes quality management, AI scoring through Genesys Virtual Supervisor, and coaching.
What does Genesys Cloud CX do well?
- AI scoring and assessment: Virtual Supervisor automates agent scoring so teams can evaluate interactions at scale.
- Calibration at scale: Coordinates calibrations with quality policies that scale across teams.
- Coaching and compliance visibility: Video-enabled training linked to interactions, plus screen recording that gives a full view of agent activity.
Ratings & Recognition:
G2 Rating: 4.4/5
Recent Analyst Recognition:
- Leader, Frost Radar™: Workforce Engagement Management 2025 (Frost & Sullivan)
Who it’s best for: Global enterprises standardized on Genesys Cloud CX that want quality management within their CCaaS suite.
5. NiCE
NiCE is an enterprise cloud contact center suite whose NiCE Quality Management, on the CXone platform, uses generative AI and CX data to drive evaluations, insights, and coaching.
What does NiCE do well?
- AI evaluation at scale: Evaluates up to 100% of interactions with AI and delivers coaching to agents.
- Omnichannel quality: Generative AI evaluations, coaching, and reporting across every channel.
- Compliance recording: Recording management and pre-built compliance solutions that help meet regulatory needs.
Ratings & Recognition:
G2 Rating: 4.3/5
Recent Analyst Recognition:
- Leader, Frost Radar™: Workforce Engagement Management 2025 (Frost & Sullivan)
Who it’s best for: Large enterprises that have standardized on the NiCE ecosystem and want CCaaS, quality, and workforce engagement from a single vendor.
6. Amazon Connect
Amazon Connect is AWS’s cloud contact center service, with native conversational analytics and performance evaluations (formerly branded Contact Lens), including generative AI evaluations.
What does Amazon Connect do well?
- Generative AI evaluations: Managers specify evaluation criteria in natural language, and results include justifications with references to the transcript.
- Automated evaluation workflows: Rules auto-fill or auto-submit evaluations, with auto-fail questions and an audit trail.
- Full coverage and coaching alerts: Applies AI to up to 100% of interactions, with screen recording and alerts that flag coaching opportunities.
Ratings & Recognition:
G2 Rating: 4.4/5
Recent Analyst Recognition:
- Leader, The Forrester Wave™: Contact-Center-As-A-Service Platforms, Q2 2025
Who it’s best for: AWS-native contact centers that want quality evaluations built into Amazon Connect.
7. Cresta
Cresta is a contact center AI platform whose Cresta Quality Management evaluates conversations for compliance, behaviors, and outcomes, and connects results to coaching.
What does Cresta do well?
- Behavioral scoring: Custom-trained AI models calibrated to your business and rubrics.
- Human-in-the-loop workflows: Support for complex scorecards, human review, calibration, appeals, and assignment.
- Quality to coaching: Turns quality data into coaching action, with compliance checks and detection of situational behaviors.
Ratings & Recognition:
G2 Rating: 4.3/5
Recent Analyst Recognition:
- Leader, The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers, Q2 2025
Who it’s best for: Organizations that want a standalone QA solution that’s connected to real-time agent assist and coaching.
Frequently asked questions about contact center quality assurance software
Call center quality assurance software evaluates customer interactions against a scorecard to measure agent performance, compliance, and customer experience. Modern QA software uses AI to transcribe and score every call, chat, and message automatically, then turns the results into coaching and reporting.
Automated quality management software scores up to 100% of interactions using AI. Verint QM Intelligence (QMI), for example, evaluates every voice and digital interaction against custom scorecards and criteria. Other tools with automated scoring include Five9, Talkdesk, Genesys Cloud CX, NiCE, Amazon Connect, and Cresta. Learn more about choosing the right tools in our guide to automated quality management.
Start by converting your existing scorecard into criteria an AI model can score, then run automated and manual scoring side by side on a sample to calibrate. Once scores align, expand automated scoring to 100% of interactions and shift analyst time to calibration and coaching. See our guide to call center quality assurance best practices for more.
Contact center QA software can help organizations in regulated industries in a variety of ways. Look for solutions that check disclosures and agent language, offer auto-fail rules for critical violations, and provide real-time alerts so that supervisors can act quickly before an interaction ends. Organizations in regulated industries should also evaluate vendors’ offerings for specific solutions to help navigate compliance regulations such as PCI DSS, HIPAA, GDPR, and more.
The best contact center quality monitoring software for regulatory compliance monitors up to 100% of interactions for required disclosures and prohibited language, redacts sensitive customer data automatically, records and stores interactions securely, and keeps a complete audit trail. Verint is a leading choice for contact centers in regulated industries. Verint quality monitoring solutions evaluate every interaction against customizable quality and compliance criteria, while PII redaction and compliance recording solutions deliver support proven in financial services, insurance, healthcare, and government environments. Other options include Genesys Cloud CX, Talkdesk, and Five9.
Quality assurance is the evaluation of individual interactions against a scorecard. Quality management is the wider program around it, including calibration, coaching, performance tracking, and reporting. Most contact center QA software covers both.
Yes. As AI agents handle more conversations, leading QA platforms apply the same scorecards to AI and human agents, checking whether issues were resolved, policies followed, and guardrails respected. Verint, for example, evaluates human and AI agents by the same standards.
Which contact center QA software is right for your organization?
The right QA software depends on your CCaaS platform, your compliance requirements, and how far you want to automate. If you are standardized on one CCaaS, you can assess if its quality tools fit your needs and consider whether a dedicated quality platform can extend them.
For enterprise and mid-market contact centers that want automated scoring of every interaction, built-in compliance, and coaching that closes the loop, all without replacing existing infrastructure, Verint offers leading quality management capabilities backed by documented results. Get a demo to learn more.
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