According to company officials<\/a>, Performance Agents aim to close a persistent gap in contact center performance management: organizations can evaluate interactions at scale, but converting that data into effective coaching remains time-consuming. The company claimed the agents can reduce supervisor preparation time to under five minutes in applicable workflows.<\/p>\n The release also introduces AI-powered leaderboards that surface which agents need coaching and why, an Agentic AI Coach Builder for creating tailored coaches by team or role, and coaching effectiveness reporting that tracks whether targeted behaviors improved over time.<\/p>\n “Performance Agents turn the intelligence within customer conversations into clear, timely actions for supervisors and frontline teams,” said Swapnil Jain, co-Founder and CEO at Observe.AI. “These AI agents apply a consistent standard for coaching, personalize development to each individual, and measure whether that coaching improves performance.”\u00a0<\/p>\n Observe.AI Performance Agents for CX Feature Breakdown<\/p>\n The new capabilities span the coaching lifecycle, from identification through measurement.<\/p>\n Capability<\/p>\n Description<\/p>\n Performance Agents for CX<\/p>\n Automate coaching steps across the performance cycle<\/p>\n AI-Powered Leaderboards<\/p>\n Surface which agents need coaching and why<\/p>\n Agentic AI Coach Builder<\/p>\n Create tailored AI coaches by team or role<\/p>\n Customizable Coaching Plans<\/p>\n Supports GROW, SMART, IDEA or custom frameworks<\/p>\n Coaching Effectiveness Reporting<\/p>\n Tracks whether targeted behaviors improved after coaching<\/p>\n Observe.AI has spent the past year repositioning from a conversational intelligence vendor into a full-stack agentic customer experience<\/a> platform. The pivot crystallized on May 6, when the company unveiled its Agentic CX platform<\/a> organized around three agent categories \u2014 customer-facing, frontline and operations \u2014 followed a week later by the launch of Companion Agent<\/a>, a real-time assistant handling pre-call context, in-call guidance and post-call summarization.<\/p>\n Enterprise credibility is anchored by a DoorDash deployment across 19,000 agents<\/a> that achieved nearly 100% automated quality coverage. Days after that July 14 announcement, Observe.AI formalized a multi-year collaboration with AWS<\/a>, placing its platform on AWS infrastructure and in AWS Marketplace \u2014 a distribution lever that accelerates enterprise sales by allowing procurement against existing cloud commitments.<\/p>\n Gartner also named Observe.AI a Cool Vendor<\/a> in its 2025 Customer Service and Support Technology report, citing the company’s AI-first approach and integrations across more than 250 enterprise systems.<\/p>\n AI Agents Redefine CX Coaching & QA<\/p>\n AI agents<\/a> are turning contact center coaching, quality assurance and oversight from periodic manual tasks into continuous, automated processes.<\/p>\n As CMSWire reporting on agentic AI in CX<\/a> noted, AI agents can now monitor all interactions and deliver feedback that feels supportive rather than punitive, giving human agents the coaching volume supervisors cannot provide at scale.<\/p>\n Governed AI architectures constrain large language models (LLMs) with business logic and human-in-the-loop oversight<\/a>, ensuring deterministic outcomes in regulated environments. Clear escalation paths to human agents remain essential, as analysis of hybrid team models<\/a> found.<\/p>\n Observe.AI Background<\/p>\n![\"Screenshot](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/09\/5b497dbd833e444191b5d31c5be38833.ashx.jpeg\"\/)
Observe.ai<\/a>
Observe.AI’s Path to Agentic Customer Experience<\/p>\n
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Have a tip to share with our editorial team? Drop us a line: <\/p>\n","protected":false},"excerpt":{"rendered":"The Gist AI-driven coaching. AI agents analyze CX data to automate coaching steps. Customizable frameworks. Performance plans tailored…\n","protected":false},"author":2,"featured_media":165476,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,405,25,7537,20145,3673,7135,66,11110,23399],"class_list":["post-165475","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-ai-agents","tag-artificial-intelligence","tag-artificial-intelligence-agents","tag-call-centers","tag-customer-experience","tag-customer-service","tag-news","tag-ngrv","tag-observe-ai"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/165475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=165475"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/165475\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/165476"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=165475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=165475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=165475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}