Ensure end-to-end support workflow efficiency with Agentic AI
Harness the power of pre-built autonomous agents, GenAI, and actionable ML-powered analytics for reduced resolution time and improved CSAT.
We offer native connectivity with a plethora of platforms that your support teams leverage
SearchUnify stands out with its holistic AI capabilities, integrating advanced NLP, machine learning, and predictive analytics to streamline support workflows. Unlike traditional solutions, it unifies data across silos, provides intelligent case routing, detects content gaps, and empowers agents with real-time insights. Its proactive Escalation Predictor and personalized support tools ensure seamless resolutions, elevating both agent productivity and customer satisfaction.
SearchUnify integrates the capabilities of GenAI and Agentic AI to revolutionize customer support workflows. GenAI enhances knowledge creation by automatically generating contextually rich, reusable knowledge articles, completing missing annotations, and filling content gaps. It also leverages synthetic data for continuous model optimization.
Agentic AI, on the other hand, powers real-time support operations like intelligent case routing, escalation prediction, and proactive agent assistance. Together, they create a symbiotic ecosystem that ensures agents have the right insights at the right time, enabling faster resolutions, reduced AHT, and enhanced customer satisfaction. This blend of AI technologies empowers organizations to deliver truly seamless and personalized support experiences.
Yes, SearchUnify integrates seamlessly with a variety of support tools and platforms, including CRMs, knowledge bases, and ticketing systems. By offering pre-built connectors and APIs, this AI customer support platform ensures effortless integration, enabling a unified and streamlined support experience tailored to your organization’s needs.
Yes, SearchUnify’s AI customer support solutions including Agent Helper and SUVA automate routine tasks, including information retrieval, customer journey insights, case summarization, and initial response generation, thus improving first-contact resolution and minimizing backlogs.
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