AgentAssist vs QEval

AgentAssist is a cloud-based generative AI speech analytics platform for contact centers, available through web and API. Its capabilities include conversation analytics, call classification and summaries, automated quality assurance, agent coaching, case management, sentiment analysis, real-time assistance, and reporting. Conversation analytics supports transcription-based search with more than 20 filters, saved searches, call review, and customized reports. Automated QA uses customizable scorecards to evaluate 100% of interactions, with results available by agent and question. Real-Time Assist provides a navigator checklist and AI-suggested prompts based on call context. Coaching tools include customized reasons, timestamped notes, alerts, tasks, an agent portal, and activity reporting. Case Management can flag calls using configured criteria, support review and escalation, notify team members, and produce customized reports. The platform offers call-level sentiment analysis and configurable redaction for personally identifiable and other sensitive data, along with configurable security and permission levels. Summaries can often be sent to a system of record by API and may be integrated with CRM or ticketing platforms, though specific products are not named. Pricing is available on request.

QEval is a contact-center performance management platform for scoring conversations and supporting agent assistance, compliance, coaching, and analytics. It evaluates human agents, AI agents, voice bots, chat copilots, and IVR flows. Supported inputs include voice, chat, email, SMS, social, tickets, CRM records, surveys, agent notes, and AI-agent transcripts. During calls, real-time agent assist can surface compliance prompts, de-escalation scripts, next-best actions, and knowledge-base articles. Other capabilities include speech analytics, screen-capture review, CSAT intelligence, business intelligence, gamification, and case-note analysis. QEval says its proprietary Mixture-of-Experts scoring has a contractual classification-accuracy commitment of 94% or higher and makes no third-party foundation-model calls in the scoring path. It lists more than 80 pre-built connectors and exchange options including REST API, webhooks, SFTP, Amazon S3, and Azure Blob Storage, with no per-connector fees. Pricing is quoted per deployment. QEval states a deployment window within 30 days and a 60-day exit clause without penalty. The platform is built by ETS Labs, the applied AI division of Etech Global Services.