
Manual call center QA covers 1 to 5% of interactions. The other 95% goes unreviewed. QEval closes that gap with AI-powered quality assurance that scores every voice, chat, and email interaction automatically.
The platform combines speech analytics, sentiment analysis, compliance monitoring, keyword detection, automated evaluation workflows, agent coaching tools, gamification, and 110+ analytics dashboards. Compliance includes PCI, HIPAA, and GDPR at 98% accuracy with real-time violation alerts. The scoring engine is trained on 138M+ contact center interactions and delivers 94% classification accuracy.
Organizations deploy QEval in 30 days, three to four times faster than typical quality monitoring platforms. Etech Global Services developed QEval through 20+ years of operating contact centers for Fortune 500 clients in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA managers, CX directors, and operations leaders replacing manual QA.
Additional capabilities include call recording and playback, screen capture for desktop activity review, customizable evaluation scorecards, QA calibration sessions to ensure scoring consistency across evaluators, and dispute management workflows for agents to challenge scores. The platform supports omnichannel quality monitoring with unified scoring across phone, chat, email, and social media interactions.
Supervisors access real-time dashboards to monitor live calls and intervene when needed. Automated alerts flag compliance risks, negative sentiment spikes, and performance drops instantly. Role-based permissions, audit logging, and end-to-end encryption meet enterprise security requirements. QEval connects with CRM, ACD, workforce management, and telephony systems through API integrations. Multi-site and multilingual support enables centralized QA management across geographically distributed contact center operations.
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CTM is an AI-powered conversation intelligence, call tracking, and customer engagement platform developed to help organizations connect marketing activities with customer interactions and revenue generation. Originally known as CallTrackingMetrics, the platform combines marketing attribution, communication management, lead nurturing, and contact center capabilities within a unified system. Its call tracking functionality uses dynamic number insertion and dedicated tracking numbers to identify which advertisements, keywords, websites, and campaigns generate inbound phone calls. The software also captures text messages, web form submissions, and chat interactions to provide visibility into customer engagement across multiple communication channels. Conversation intelligence tools use artificial intelligence to transcribe recordings, summarize discussions, evaluate customer sentiment, identify important topics, and score interactions. Its AskAI functionality allows users to investigate conversation data and extract insights about customer needs, objections, and purchasing behavior. CTM VoiceAI provides automated voice agents that can answer calls, qualify leads, schedule appointments, and direct callers to appropriate employees or departments. Intelligent routing capabilities distribute incoming inquiries based on factors such as location, availability, agent skills, customer history, and custom business rules. Workflow automation enables organizations to trigger follow-up messages, internal notifications, CRM updates, and advertising conversion events using customer interaction data. Reporting tools include real-time activity dashboards, campaign performance analysis, advertising return on investment, agent productivity monitoring, and customizable reports for businesses and marketing agencies. CTM supports integrations with Google Ads, Google Analytics, HubSpot, Salesforce, and other business applications while providing APIs, webhooks, and white-label options.
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Otter.ai
Otter serves as a hub for conversations, enabling you to utilize an AI-driven assistant to generate detailed notes for various voice interactions such as interviews, meetings, and lectures. The advantages of using Otter extend to organizations of all sizes, as it is relied upon by teams for transcribing crucial discussions. With the release of Otter 2.0, users can access enhanced features aimed at boosting collaboration and productivity. The Teams plan caters to both small and medium enterprises, as well as departments within larger corporations. You have the ability to record and monitor conversations in real-time, and the platform allows for searching, playing, editing, organizing, and sharing of discussions across multiple devices. Users can capture conversations via their smartphone or web browser, and recordings from other platforms can be imported or synchronized seamlessly. Integration with Zoom is also available. The service provides real-time streaming transcripts, enabling users to create comprehensive, searchable notes that incorporate text, audio, images, and speaker identification within minutes. Furthermore, you can share or export these voice notes to keep everyone informed and aligned, fostering effective communication among your team members. Ultimately, Otter enhances the way teams collaborate by making conversations more accessible and manageable.
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Rippit
Rippit serves as a comprehensive platform for managing conversation data, converting customer interactions from diverse sources like helpdesks, sales calls, and meetings into well-organized and easily searchable information. Customer experience, support, product development, sales, and operations teams can utilize advanced natural language processing and reusable AI agents to gain valuable insights regarding contact motivations, product assessments, signs of potential churn, quality-related issues, compliance concerns, and any difficulties encountered with chatbots or AI agents. By enriching conversation records with key details such as intent, sentiment, resolutions, and underlying causes, the platform empowers teams to detect trends and connect their findings back to the original conversations. Furthermore, teams can streamline their analysis process using Agent Apps, which ensures that insights are consistently delivered, while also allowing integration of external assistants through Rippit’s hosted Model Context Protocol server. This functionality greatly enhances organizations' abilities to conduct thorough analyses of customer communications and seamlessly incorporate insights into their operational workflows, thereby leading to an improvement in overall service delivery. Ultimately, Rippit not only simplifies data management but also fosters a deeper understanding of customer needs and behaviors.
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