The 8 Best Call Center Quality Assurance Software Platforms in 2026

Top picks: best call center QA software

The best call center quality assurance software for most teams in 2026 is Level AI. It scores every call, chat, email and bot conversation against your own scorecard and shows the reasoning behind each answer. Observe.AI is a close second for regulated, phone-first operations, and evaluagent's the pick if you need a published per-seat price.

All eight call center QA platforms, ranked

1. Level AI: for mid-size and enterprise contact centers replacing manual scorecards across voice and digital.

2. Observe.AI: for healthcare, insurance and financial services teams that take most contacts by phone.

3. evaluagent: for mid-size teams that need a budget figure before the first demo.

4. Verint: for enterprises that want QM and workforce management from one vendor.

5. CallMiner: for regulated enterprises where QA, compliance and speech analytics share a budget.

6. NICE Quality Management: for contact centers already running on NICE CXone.

7. Scorebuddy: for QA teams that want hands-on help proving AI scoring before they buy.

8. Convin: for teams auditing in spreadsheets that want to digitize first and automate later.

Who needs call center QA software

Picture a QA lead with 60 agents and three analysts who hand-score about 2% of calls. Agents don't trust scores built on a handful of calls, and compliance misses hide in the other 98%.

This guide is for that team as it moves to AI scoring on every interaction. We cover voice and digital QA platforms; we've left out tools that only read help desk tickets.

How we ranked call center QA platforms

Our ranking draws on vendor websites in October 2026, not hands-on testing, and on five questions:

• Can it score 100% of calls, chats and emails, or does a credit cap limit coverage?

• Will it run your existing scorecard, including subjective items like empathy?

• Can you test and calibrate AI scores against your analysts before go-live?

• Do agents get a way to dispute scores, and does coaching follow from the results?

• Is pricing published, and is there a trial or free tier?

Call center QA platforms side by side

The 8 best call center QA platforms, ranked

Here's the order on those questions, coverage first.

1. Level AI

Level AI scores 100% of calls, chats, emails and bot conversations. Its QA-GPT engine answers each scorecard question with supporting evidence and reasoning, and conditional logic marks questions N/A by call type.

Why teams pick it:

• A sandbox lets admins run rubrics against real conversations and check accuracy before rollout.

• When an evaluator overrides an AI score, the correction is used to recalibrate future scoring.

• Its security page lists SOC 2, ISO 27001, HIPAA and PCI.

• Watch out for: No public price or trial, so budgeting waits for a sales call.

• Pricing: Not published.

• Best fit: Mid-size and enterprise contact centers replacing manual scorecards across voice and digital.

2. Observe.AI

Observe.AI's Auto QA evaluates every call and chat against your rubric and links each score to the transcript moment behind it. A drag-and-drop editor turns keywords, phrases and logic into scoring rules.

Why teams pick it:

• Calibration sessions keep AI scoring in line with your reviewers as coverage grows.

• Manual QA workflows handle disputes, appeals and high-stakes calls.

• Personal, card and health data is masked before modeling, and it lists ISO 27001, PCI DSS and SOC 2 Type 2.

• Watch out for: QA is one part of a larger AI agent platform, and there's no public pricing page.

• Pricing: Not published.

• Best fit: Healthcare, insurance and financial services teams that take most contacts by phone.

3. evaluagent

evaluagent's AutoQM product scores 100% of voice, chat and email conversations, and blended scorecards mix automated checks with human observations on one form. Its Context Engine takes your QA policies and knowledge in plain language, and you can test a change against past conversations before it goes live.

Why teams pick it:

• Published seat prices, plus per-conversation pricing for high volumes.

• Agents can challenge scores, and those disputes feed back into scoring accuracy.

• Lists SOC 2 Type II, ISO/IEC 27001:2022, GDPR and HIPAA.

• Watch out for: Seat pricing rises with headcount, and the $35 tier leaves out sentiment and reason-for-contact analytics.

• Pricing: AutoQM from $35 per user per month; AutoQM plus Conversation Intelligence from $65.

• Best fit: Mid-size teams that need a budget figure before the first demo.

4. Verint

Verint sells two quality management (QM) lines: Verint QM for mature programs with complex forms and workflows, and Calabrio QM Intelligence for teams moving off manual scoring quickly. Thoma Bravo combined Calabrio with Verint after its acquisition of Verint closed in November 2025, and calabrio.com now opens a Verint page.

Why teams pick it:

• Autoscores up to 100% of voice and digital interactions, for human agents and bots.

• Audio and screen recordings, evaluation forms and contact details share one desktop view.

• Watch out for: Two QM products overlap, so confirm which one you're quoted.

• Pricing: Not published.

• Best fit: Enterprises that want QM and workforce management from one vendor.

5. CallMiner

CallMiner captures and analyzes every call, screen session, digital conversation and survey. For QA, you can run fully automated forms or combine them with manual scoring, and it builds prioritized lists of recent contacts for analysts to review.

Why teams pick it:

• Screen Record shows how agents move through support screens during a resolution.

• Independent audits cover PCI DSS, ISO 27001, HITRUST and SOC 2 Type II.

• Watch out for: It's a broad analytics platform, more than a scorecard-only team needs.

• Pricing: Not published.

• Best fit: Regulated enterprises where QA, compliance and speech analytics share a budget.

6. NICE Quality Management

NICE Quality Management runs on NICE's CXone platform. Auto Score evaluates every interaction with large language models powered by NICE AI Models, and Evaluation Summaries turn results into coaching recommendations for supervisors.

NICE bought Playvox, another QA and coaching vendor, in 2024; Playvox's website now leads only to a customer login.

Why teams pick it:

• One quality standard across voice, chat and digital channels.

• Per-agent suite prices are published.

• Watch out for: QM is sold within CXone suites, so it's a natural fit only if CXone already runs your phones.

• Pricing: Included in the Essential Suite at $135 per agent per month and above; an add-on to the $110 Omnichannel Suite.

• Best fit: Contact centers already running on NICE CXone.

7. Scorebuddy

Scorebuddy auto-scores voice, chat and email conversations, claims 90%+ AI scoring accuracy and reviews AI chatbots as well as human agents. A built-in learning system assigns courses when scores show a gap.

Why teams pick it:

• Its free trial is run by Scorebuddy's team, who build the scorecards and do the evaluations.

• Every plan includes a calibration module, peer-to-peer scoring and compliance reporting.

• Connects to Genesys, Amazon Connect, NICE CXone, Five9 and Talkdesk from the Accelerate plan up.

• Watch out for: Accelerate includes 500 AI scores a month (Elite, 1,000), so full coverage at call center volume means buying credits.

• Pricing: Three plans, all priced on request.

• Best fit: QA teams that want hands-on help proving AI scoring before they buy.

8. Convin

Convin gives away its manual quality management software, with custom scorecards, auto-fails for fatal errors, rule-based sampling and a rebuttal system for agent disputes. Its paid Auto QA scores 100% of calls, chats and emails and flags conversations that need urgent review.

Why teams pick it:

• A free way to move audits out of spreadsheets before paying for automation.

• Lists SOC 2 Type II, ISO 27001, HIPAA and GDPR.

• Watch out for: Convin markets its AI agent platform first, and Auto QA pricing isn't published.

• Pricing: Manual QA is free; Auto QA is quoted.

• Best fit: Teams auditing in spreadsheets that want to digitize first and automate later.

What call center QA software costs

Only three vendors publish numbers: evaluagent from $35 per user per month, NICE from $135 per agent per month inside a CXone suite, and Convin's free manual QA module. The rest quote on request, so ask each for a price at your agent count and volume, and whether AI scoring is capped.

Call center QA software buying checklist

• Have each vendor auto-score 200 of your past calls and compare with your analysts' scores.

• Find out how many AI evaluations you'll get each month and what extra ones cost.

• Confirm it connects to your phone system or contact center as a service (CCaaS) platform without a custom build.

Mistakes QA teams make when they automate

• Switching off human review on day one. Keep analysts calibrating a sample of AI scores until the two agree.

• Porting a scorecard full of vague questions. If your analysts can't agree on what "professional tone" means, the AI won't either.

• Grading agents on AI scores without explaining what changed, which invites disputes.