{"id":31653,"date":"2025-11-25T11:44:25","date_gmt":"2025-11-25T11:44:25","guid":{"rendered":"https:\/\/www.intercom.com\/blog\/?p=31653"},"modified":"2025-11-27T18:20:15","modified_gmt":"2025-11-27T18:20:15","slug":"the-customer-service-roles-ai-needs-to-succeed","status":"publish","type":"post","link":"https:\/\/www.intercom.com\/blog\/the-customer-service-roles-ai-needs-to-succeed\/","title":{"rendered":"2026 customer service planning series: Vol. 02"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">When AI Agents resolve the majority of customer conversations, the shape of your support team has to change.<\/span><\/p>\n<blockquote>\n<h4>This is part two of our five-part series on customer service planning for 2026. We&#8217;ll be sharing all five editions on our blog and on LinkedIn.<\/h4>\n<h4>If you&#8217;d rather have them emailed to you directly as they&#8217;re published, drop your details <a href=\"https:\/\/inter.com\/4piNT0a\">here<\/a>.<\/h4>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">The old tiered model built around queue management, handoffs, and volume-based productivity no longer fits. AI now handles the bulk of customer interactions, and that changes the role of your human team entirely.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Responsibilities evolve, and success is measured differently. It goes beyond just adding automation to existing ways of working. You\u2019re building an operating model that\u2019s entirely new.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31654\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Consensys.png\" alt=\"\" width=\"1200\" height=\"627\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Consensys.png 1200w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Consensys-300x157.png 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Consensys-700x366.png 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Consensys-768x401.png 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<h2 id=\"where-to-start-roles-that-unlock-ai-performance\"><strong>Where to start: Roles that unlock AI performance<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Most teams don\u2019t hire a dedicated AI function from day one. They start by distributing a few critical responsibilities across existing team members, and formalize those responsibilities as AI becomes central to how support works.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-31670 size-full\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Matt-Leggett-The-Access-Group.png\" alt=\"&quot;We've used the emergence of GenAI in this space to create new roles within the Customer Success organisation, like Digital Support Engineer, and we've also created an Automation Success team. These roles offer new career paths.&quot; \u2013\u00a0Matt Leggett, CX AI &amp; Digital Director, The Access Group\" width=\"1200\" height=\"627\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Matt-Leggett-The-Access-Group.png 1200w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Matt-Leggett-The-Access-Group-300x157.png 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Matt-Leggett-The-Access-Group-700x366.png 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Matt-Leggett-The-Access-Group-768x401.png 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Once you have executive support and a clear strategy in place, these are the four foundational roles we believe are key to getting AI off the ground in a meaningful way:<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-31655 size-full\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313.png\" alt=\"\" width=\"1592\" height=\"873\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313.png 1592w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313-300x165.png 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313-700x384.png 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313-768x421.png 768w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313-1536x842.png 1536w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/roles-e1764071202313-1320x724.png 1320w\" sizes=\"auto, (max-width: 1592px) 100vw, 1592px\" \/><\/p>\n<h3>\u00a01. AI operations lead<\/h3>\n<ul>\n<li><strong>Responsibilities:<\/strong> Owns day-to-day AI performance. Tracks quality. Tunes behavior. Prioritizes fixes. Drives iteration.<\/li>\n<li><strong>Skillset\/background:<\/strong> Often promoted from support ops. Deep understanding of workflows, systems, and tooling. Strong analytical and cross-functional coordination skills.<\/li>\n<li><strong>Why you need this:<\/strong> Without clear ownership, performance drifts. This role ensures the AI Agent constantly improves.<\/li>\n<\/ul>\n<h3>2. Knowledge manager<\/h3>\n<ul>\n<li><strong>Responsibilities:<\/strong> Owns macros, snippets, and help content. Maintains structured, accurate inputs the AI Agent depends on.<\/li>\n<li><strong>Skillset\/background:<\/strong> Often promoted from support ops. Deep understanding of workflows, systems, and tooling. Strong analytical and cross-functional coordination skills.<\/li>\n<li><strong>Why you need this:<\/strong> Without clear ownership, performance drifts. This role ensures the AI Agent constantly improves.<\/li>\n<\/ul>\n<h3>3. Conversation designer<\/h3>\n<ul>\n<li><strong>Responsibilities:<\/strong> Designs how the AI Agent communicates by focusing on tone of voice, structure, handoff logic, and interaction flow. Tunes how responses feel.<\/li>\n<li><strong>Skillset\/background:<\/strong> Background in content design, UX writing, or support enablement. Deep grasp of policy, CX standards, and conversational nuance.<\/li>\n<li><strong>Why you need this:<\/strong> This role ensures the AI Agent speaks like your brand \u2013 clearly, helpfully, and in line with customer expectations.<\/li>\n<\/ul>\n<h3>4. Support automation specialist<\/h3>\n<ul>\n<li><strong>Responsibilities:<\/strong> Builds workflows and backend actions the AI Agent can execute.<\/li>\n<li><strong>Skillset\/background:<\/strong> Background in support engineering, systems, or tooling. Works closely with product and engineering teams.<\/li>\n<li><strong>Why you need this:<\/strong> Enables the AI Agent to take action \u2013 not just respond. This role translates customer intents into business systems.<\/li>\n<\/ul>\n<h2 id=\"what-happens-to-other-roles\"><strong>What happens to other roles?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Introducing new AI-first roles doesn\u2019t mean your existing functions disappear. But they do need to evolve. For AI to scale effectively, every function in your support organization must shift its focus from managing queue-level activity to improving the system\u2019s performance:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Enablement<\/strong> trains human agents to work with the AI Agent: managing handoffs, tuning responses, and understanding how to give feedback that improves the system.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>QA<\/strong> evolves from reviewing conversations to reviewing the quality of the customer experience and behavior of the AI Agent: where the AI succeeds, where it falls short, and how the system as a whole performs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Workforce management<\/strong> plans capacity based on automation coverage, not just inbound volume.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">You\u2019ll also need a new kind of leadership to make this model work. The traditional support leader doesn\u2019t map cleanly to an AI-first organization. You need a new layer: leaders who are part strategist, part operator. They roll up their sleeves to analyze the AI Agent\u2019s performance, refine content, and debug handoffs, but they also coach the team through a new way of working.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is the \u201cplayer-coach model\u201d \u2013 leaders who actively shape both the system and the people within it.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31656\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma.jpg\" alt=\"\" width=\"2400\" height=\"1254\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma.jpg 2400w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-300x157.jpg 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-700x366.jpg 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-768x401.jpg 768w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-1536x803.jpg 1536w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-2048x1070.jpg 2048w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Gamma-1320x690.jpg 1320w\" sizes=\"auto, (max-width: 2400px) 100vw, 2400px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">These leaders see the AI Agent as a teammate to manage, not just a tool to monitor. They can\u2019t be purely people leaders or purely systems thinkers. They need to be both, and they\u2019re emerging as a critical hire in support right now.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some teams are restructuring their organizations around the AI Agent as a core product, not just a support tool.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are some real-world examples:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">At <\/span><b>Dotdigital<\/b><span style=\"font-weight: 400;\">, a dedicated \u201cFin Ops\u201d specialist role was created to refine content and improve AI performance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">At <\/span><b>Clay<\/b><span style=\"font-weight: 400;\">, a dedicated GTM engineer role has been established as part of the ops team with a focus on making support more efficient at scale using Fin. Additionally, a support engineering function has been embedded directly in the CX organization to help reduce volume by fixing bugs and building internal tools.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lightspeed<\/b><span style=\"font-weight: 400;\"> created a dedicated Digital Engagement team to manage Fin\u2019s optimization, and formalized a triangular model that brings together technical teams, frontline experts, and content specialists.\u00a0<\/span><\/li>\n<\/ul>\n<h2 id=\"our-support-org-chart-at-intercom\"><strong>Our support org chart at Intercom<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">At Intercom, our Support team is now structured around three pillars: Human Support, AI Support, and Support Operations and Optimization.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Each function includes evolving roles and responsibilities, but all of them work together as a system, with clear ownership and shared accountability for AI performance.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31657\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187.png\" alt=\"\" width=\"1783\" height=\"924\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187.png 1783w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187-300x155.png 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187-700x363.png 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187-768x398.png 768w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187-1536x796.png 1536w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Group-1197145187-1320x684.png 1320w\" sizes=\"auto, (max-width: 1783px) 100vw, 1783px\" \/><\/p>\n<h2 id=\"putting-it-all-together\"><strong>Putting it all together<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Once AI Agents handle most conversations, your team\u2019s work moves from \u201canswering questions\u201d to \u201cdesigning and improving the system that answers questions.\u201d They become the force that steers quality, rather than the one that carries the volume.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31658\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money.jpg\" alt=\"\" width=\"2400\" height=\"1254\" srcset=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money.jpg 2400w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-300x157.jpg 300w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-700x366.jpg 700w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-768x401.jpg 768w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-1536x803.jpg 1536w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-2048x1070.jpg 2048w, https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2025\/11\/Rocket-Money-1320x690.jpg 1320w\" sizes=\"auto, (max-width: 2400px) 100vw, 2400px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is why new roles are important. It\u2019s not because they\u2019re trendy, but because the performance of your support organization now depends on the performance of AI, and no AI Agent succeeds without clear ownership of content, behavior, workflows, and improvement cycles.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s the pattern we\u2019ve seen from working with so many teams:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">They name owners early.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">They distribute responsibilities before they formalize them.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">They anchor teams around AI outcomes, not ticket outcomes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">And they hire leaders who can manage both the system and the people.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If you take one thing away from this week\u2019s article, let it be this: if AI is going to handle the majority of your customer conversations, your team needs to be designed to help it do that well.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your roles, responsibilities, and leadership approach are now part of the architecture of AI performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Next week, we\u2019ll go deeper into how these roles actually operate day-to-day \u2013 the workflows, responsibilities, rhythms, and collaboration patterns that make an AI-first support organization run.<\/span><\/p>\n<p>To follow along with the series and have each new edition emailed to you directly, drop your details\u00a0<a href=\"https:\/\/inter.com\/4piNT0a\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introducing new AI-first roles doesn\u2019t mean your existing functions disappear, but they do need to evolve. Here are the roles needed to get AI off the ground in a meaningful way. <\/p>\n","protected":false},"author":518,"featured_media":31660,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"category":[3],"tags":[25456],"coauthors":[25010],"class_list":["post-31653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-customer-support","tag-2026-customer-service-planning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>2026 customer service planning series: Vol. 02 - The Intercom Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.intercom.com\/blog\/the-customer-service-roles-ai-needs-to-succeed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"2026 customer service planning series: Vol. 02\" \/>\n<meta property=\"og:description\" content=\"Introducing new AI-first roles doesn\u2019t mean your existing functions disappear, but they do need to evolve. 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