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Yaqeen AgentIQ

Yaqeen GenAI QA Monitor extends its AI-powered call center quality assurance capabilities to support Agentic AI workflows. Built on Amazon Bedrock, it enables autonomous evaluation of multi-step agent interactions, compliance tracking, sentiment analysis, and intelligent coaching reducing manual oversight and enhancing performance in dynamic, high-volume environments.

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About

Yaqeen GenAI QA Monitor is a cloud-native, AI-driven call center quality assurance solution powered by Amazon Bedrock, now enhanced to support Agentic AI workflows. It automates 100% of call reviews, transforming traditional manual QA into an intelligent, scalable system. With advanced capabilities including compliance scoring, sentiment analysis, multi-step conversation evaluation, and intelligent coaching, the platform significantly improves operational efficiency and decision-making across both human and AI-driven interactions.

Built to support regulatory standards such as FDCPA, PCI, and HIPAA, Yaqeen GenAI QA Monitor ensures full compliance while adapting easily to the unique needs of your business. It now also supports the evaluation of autonomous agents, providing oversight for agent-based systems powered by frameworks like LangChain, Bedrock Agents, and other orchestration tools. This makes it ideal for organizations implementing LLM-powered assistants, customer-facing agents, or internal automation copilots.

By eliminating manual call evaluations, the platform enables your team to focus on strategic, high-value activities. It provides deep insights into agent performance, empathy, tone, compliance, and now agentic behavior and decision flow, allowing for highly targeted coaching and optimization. Seamless integration with CRM, CTI, and ticketing platforms ensures simple deployment, while secure transcript storage via Amazon S3 maintains privacy and data protection standards.

Scalable to support millions of interactions per month, Yaqeen GenAI QA Monitor is purpose-built for high-volume environments across industries such as finance, healthcare, collections, and customer service. It reduces operational costs, delivers 100% coverage, lowers compliance risk, and now brings actionable insights into AI-driven workflows making it a future-proof solution that improves both agent performance and autonomous system reliability at scale.

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