Best Call Center Quality Management Software (2026): Top 10 Compared

evaluagent sells quality assurance and performance improvement software for contact centers. Its AutoQM product scores 100% of conversations against custom scorecards, and human reviewers can still calibrate and review scores manually. SmartScore uses AI to answer qualitative scorecard items and records its reasoning.

The vendor positions the product for both human and AI agents. For AI agent traffic it lists fabrication detection, which flags bot answers that invent information, along with missed intent and sentiment tracking. Auto-publish and auto-fail rules route scored conversations to the right reviewer or coach.

The higher plan adds conversation intelligence. That covers automated reason for contact, topic and theme detection, sentiment trends, summaries and predicted metrics such as xNPS, xCSAT and a vulnerability indicator. evaluagent lists integrations with Genesys, Five9, NICE CXone, Talkdesk, Amazon Connect, Salesforce, Zendesk, Intercom and Freshdesk, and names SOC 2 Type II and ISO 27001 among its certifications.

Voxjar evaluates recorded calls with AI against criteria the customer defines. The vendor states that it serves more than 1,400 small and midsize businesses. A team connects its phone system or uploads recordings, and each evaluation includes a transcript, a summary, topic and skill tags and a graded score.

Pricing follows audio volume rather than seats. The vendor states that the AI evaluator starts at one credit per minute of audio. The paid QA Pro plan includes unlimited users, so a large reviewer or agent group does not raise the bill on its own. Add-on credits are valid for a year, which helps teams with seasonal call volume.

QA Pro covers the manual QA workflow as well as AI: scorecard builder and templates, inline coaching, calibration sessions, agent logins, agent disputes, hybrid QA and webhook exports. Enterprise adds SAML SSO, custom data pipelines, real-time evaluations, white label and sub-accounts for BPOs and agencies. Voxjar reports SOC 2 Type II.

Insight7 describes itself as call intelligence and coaching software for customer teams. Its AI call scoring evaluates each conversation against evaluation criteria and scorecards, and reports compliance and performance trends. The vendor lists integrations with Zoom, Google Meet, Microsoft Teams, RingCentral, Dialpad, Webex and Nextiva among more than 50 sources.

The product covers three moments. Before a call, AI roleplay lets agents rehearse scenarios and get feedback, and a mobile coach app supports practice. During a call, live assist offers guidance and knowledge base answers. After a call, AI scoring and AI coaching turn results into feedback for each agent.

Plans are priced by users and the number of call or transcript analyses each month. That makes the cost predictable for small teams but means a high-volume contact center reaches the Plus or Enterprise tier quickly. Insight7 reports HIPAA and SOC 2 compliance. Its customer stories include teams evaluating over 6,000 calls a month.

Zendesk QA is the quality assurance add-on for the Zendesk service platform. AutoQA scores all interactions, including voice and conversations handled by AI agents, and the vendor states it can raise CSAT by up to 5%.

The add-on uses AI to find the conversations that need a reviewer's attention, such as escalations or negative sentiment, rather than relying on random sampling. It also reports quality trends across support channels. Reviewers can still score conversations manually, and results feed coaching for each agent.

Buying is simple for existing Zendesk customers. Account owners on self-service accounts add QA from the subscription page, and managed accounts buy through a Zendesk representative. The add-on is sold for all agents on the account. Teams that also need scheduling can take the Workforce Engagement Bundle, which Zendesk prices below the two add-ons bought separately. Teams not on Zendesk need a Support or Suite plan first.

Convin sells contact center software built on conversation AI. Its post-interaction suite includes automated quality assurance, which scores 100% of conversations across calls, chats and email and returns generative AI feedback. Automated sampling and a manual audit workflow let QA analysts review a subset alongside the AI.

Coaching follows the audit. Automated Agent Coaching assigns sessions from audit results, supports peer-to-peer coaching and measures whether coaching changed performance. An AI learning management system adds knowledge base content, readiness assessments and leaderboards. A mobile app gives supervisors violation alerts and team insights.

Convin also sells real-time agent assist, supervisor assist, voice of customer insights and AI phone agents. Its free Quality Management Software covers manual QA only, with audit templates, dashboards and an agent rebuttal system. Customer quotes on its site describe moving from auditing about 5% of calls to 100%. Convin is one of the vendors that tracks this category in AI search.

Mihup Interaction Analytics is a speech analytics application for contact centers. It analyses 100% of conversations and automates audits and coaching. The QA feature auto-scores each call against quality parameters and fills in evaluation forms with suggested scores and feedback, replacing random sampling with full coverage.

The product scores soft skills such as empathy, active listening and script adherence, and flags events such as negative sentiment, escalation requests or legal threats. Results roll into agent benchmarks and coaching workflows. Mihup states that clients cut QA time by a factor of five.

Mihup builds its own speech technology. The company reports tuning for more than 120 languages and dialects, with particular accuracy claims for Indic and APAC languages. The same platform powers voice agents and real-time agent assist. Deployment can be cloud, on-premise or API-based, and integrations cover diallers, telephony platforms and CRMs. Mihup is one of the vendors that tracks this category in AI search.

Sprinklr Quality Management evaluates conversations across voice, social and digital channels for performance and compliance. Sprinklr AI builds custom checklists and scores conversations using the transcript and voice cues together. The vendor states that the AI scores on context rather than keywords and gives its reasoning.

Checklists can be written with Sprinklr Copilot through natural-language prompts. When several agents take part in one case, the AI scores each agent separately. A single case view joins transcripts, screen recordings, evaluations and analytics.

Manual quality management remains available. Teams customise audit forms, automate sampling by channel, CSAT threshold, handle time or custom rules, and run calibration sessions. Agents can challenge an evaluation, and dashboards show skill-level and channel-level results for agents and supervisors. Coaching plans and training assignments follow from identified skill gaps. The module sits inside Sprinklr Service, so it suits organizations already running care on the Sprinklr platform.

Observe.AI sells AI for contact centers in three groups: AI agents for voice and chat, real-time copilots for live agents and coaching, and conversation intelligence. Auto QA sits in the conversation intelligence group next to Manual QA and Screen Recording. It analyses every customer-agent interaction and auto-completes QA evaluations.

The vendor describes the method as AI combined with advanced rule definitions, calibration, metadata and conversation context. Each completed evaluation carries the evidence behind it, so QA teams can check why a question was answered as it was. Results feed agent performance reports and coaching programs.

Observe.AI states that more than 350 enterprises use the platform and names banking and finance, healthcare providers and payers, insurance, transportation, travel and hospitality and utilities as its industries. A published customer story describes DoorDash reaching nearly 100% automated quality coverage across 19,000 agents. The company does not publish prices, and buyers start with a demo request.

Level AI sells quality assurance software that scores calls, chats, emails and bot conversations. Its engine, QA-GPT, uses a proprietary language model trained on the customer's contact center data. The vendor states it can evaluate over 90% of the standards a scorecard covers, including open-ended questions, and can read agent screens to score on-screen actions.

InstaScore produces one score for every conversation, based on QA-GPT, metrics, keywords or intents. Reviewers can still score manually. Case assignment automates which interactions each auditor reviews, calibration benchmarks auditors against each other, and a dispute flow handles agent challenges. Dashboards break results down by channel, team, agent, topic and sentiment.

The features overview lists two platform levels. Standard includes SSO, audit logs, custom roles, three months of audio retention and HIPAA, PCI and SOC 2 Type 2 compliance. Enterprise adds up to 12 months of audio retention, dynamic team management, a data residency router, a higher uptime SLA and GDPR compliance. Pricing is by quote.

MaestroQA describes itself as an AI conversation data quality platform. It ingests conversation data from many sources, not only the contact center, and joins it with other data. QA workflows, coaching workflows and reverse-ETL actions then act on the results.

The vendor lists use cases that go beyond scoring agents. They include compliance risk detection, missed sales opportunities, churn and escalation detection, AI chatbot monitoring and voice of customer analysis. Customer stories include DraftKings replacing manual QA reviews with AI-driven coaching across 100% of conversations.

BPO and agent governance is a named use case. A company that outsources part of its support can monitor in-house and outsourced agents against the same brand standards. Access can be opened to other teams through AI prompts and visual analysis. MaestroQA reports more than 100,000 team members on the platform and gives prices only after a request.