Master Enthu.AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Enthu.AI powerful for customer support agents workflows.
Enthu.AI is an agentic AI platform for contact centers that automatically transcribes, analyzes, and scores 100% of customer conversations. It replaces manual sample-based QA with GenAI-driven evaluation against custom scorecards, and layers on sentiment analysis, AI summaries, agent coaching tools, and real-time assist.
Traditional speech analytics tools rely heavily on keyword and phrase spotting and require significant configuration. Enthu.AI uses generative AI to evaluate calls against natural-language scorecard questions, producing scored results with reasoning rather than just keyword hits. It is also positioned as more agentic — taking actions like generating coaching plans rather than only producing reports.
The platform is targeted at financial services and lending, insurance, healthcare, and utilities — verticals with high call volumes, strict compliance requirements, and a strong link between conversation quality and business outcomes.
Yes. As of 2026, Enthu.AI offers real-time agent assist copilots designed to improve First Call Resolution (FCR) and Average Handle Time (AHT) by surfacing relevant guidance, scripts, and next-best-actions to agents during live calls, in addition to its retrospective Auto QA capabilities.
Enthu.AI uses enterprise pricing with no publicly listed tiers. Pricing is typically scoped to seat count, call volume, channels (voice vs digital), and which modules are enabled (Auto QA, real-time assist, coaching, etc.). Prospective customers must contact sales for a quote.
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Tutorial updated March 2026