
Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Contact center QA teams evaluate 1 to 5% of calls manually. QEval eliminates that bottleneck by applying AI speech analytics and automated scoring to 100% of interactions across voice, chat, and email, using a classification engine trained on 138M+ real conversations.
Capabilities span quality monitoring, compliance detection for PCI, HIPAA, and GDPR at 98% accuracy, sentiment analysis, keyword identification, agent coaching workflows, performance gamification, and predictive analytics across 110+ configurable dashboards. Quality scoring runs at 94% accuracy with zero manual intervention.
Deployment takes 30 days. Industry standard is 90 to 120. No disruption to live operations. Etech Global Services built QEval from two decades of running Fortune 500 contact centers in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA leaders and operations teams scaling coverage without adding headcount.
QEval also provides call recording management, screen capture, custom evaluation forms, calibration tools for QA consistency, root cause analysis, trend identification, and automated alert systems for compliance breaches. The voice of customer module tracks customer sentiment across touchpoints to identify service gaps and training opportunities. Real-time monitoring lets supervisors intervene during live interactions. Role-based access controls, audit trails, and data encryption ensure enterprise-grade security. QEval supports multi-site and multilingual contact center environments with centralized reporting across locations.
API integrations connect QEval with existing CRM, telephony, and workforce management systems. Automated report scheduling delivers insights to stakeholders without manual effort.
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PitchMonster
PitchMonster is an innovative platform that leverages AI to enhance sales role-play training, enabling teams to increase their deal closures by 20–40 percent. By allowing sales representatives to engage in realistic, customized conversations prior to interacting with customers, it effectively prepares them for various scenarios such as cold calls and presentations. The platform employs AI-generated buyer personas that align with ideal customer profiles, providing immediate, tailored feedback reports by evaluating each session against established coaching benchmarks. Its integrated speech coaching functionality acts like a "sales Grammarly," offering recommendations for clearer language, ideal pacing, and flagging clichés or unnecessary filler words. Additionally, the custom AI scorecard assesses representatives based on specific metrics or a comprehensive set of proven criteria. Users can effortlessly create role-plays using actual call data, assign them as needed, and analyze transcripts with in-depth vocabulary and sentiment insights. The platform also allows users to request re-runs for further practice and solidifies learning by incorporating supplementary exercises, ensuring that sales teams are thoroughly prepared for any customer interaction. This holistic approach to training not only boosts performance but also fosters continuous improvement among sales professionals.
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Yolk
Yolk is an innovative sales coaching and training platform that utilizes AI technology tailored specifically for revenue teams. It seamlessly integrates with your call-recording systems to perform automatic analyses of actual sales conversations, evaluating representatives on essential selling competencies such as discovery, objection handling, rapport-building, and closing techniques, while also highlighting trends through dashboards—this allows leadership to easily identify skill deficiencies without the need for tedious transcript reviews.
Once skill gaps are pinpointed, Yolk creates personalized, realistic roleplays that reflect true buyer interactions, enabling representatives to engage in practice sessions with human-like AI avatars in a risk-free environment. Following each practice session, they receive immediate feedback and practical suggestions for improvement. This ongoing cycle of assessment, practice, and feedback not only enhances consistency but also speeds up the onboarding process and expands coaching capabilities without the necessity of hiring additional staff.
Among its primary features are automated scoring of calls, dashboards to identify skill gaps, tailored AI roleplays, real-time reporting, and compatibility with popular enablement tools, providing a comprehensive solution for sales teams aiming to enhance their performance. Ultimately, Yolk empowers teams to elevate their selling skills and achieve greater success in an increasingly competitive market.
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