{"id":635571,"date":"2026-07-08T08:54:34","date_gmt":"2026-07-08T15:54:34","guid":{"rendered":"https:\/\/www.genesys.com\/blog\/post\/agentic-ai-and-the-autonomous-future-of-experiences"},"modified":"2026-08-05T02:56:44","modified_gmt":"2026-08-05T09:56:44","slug":"agentic-ai-and-the-autonomous-future-of-experiences","status":"publish","type":"blog","link":"https:\/\/www.genesys.com\/en-gb\/blog\/post\/agentic-ai-and-the-autonomous-future-of-experiences","title":{"rendered":"Agentic AI and the autonomous future of experiences"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_section full_width=&#8221;stretch_row&#8221;][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<span style=\"font-weight: 400;\">Countless breakthroughs in customer experience (CX) have been driven by the ambition to deliver faster, more personalised experiences, at scale, while empowering employees to do their best work.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Generative AI accelerated that journey; for example, by making information more accessible and helping automate time-consuming tasks such as knowledge retrieval, interaction summaries and after-call work. But as transformative as generative AI has been in experience orchestration, it primarily excels at providing answers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customers, however, typically reach out for more than information. They want to resolve a billing issue, schedule an appointment, update account information or accomplish another task \u2014 sometimes one that\u2019s quite complex.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s where agentic AI comes in.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Rather than simply generating responses, agentic AI can reason through customer intent, determine the next best action, interact with business systems and other AI agents, and complete tasks on behalf of customers and employees.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In other words, it moves AI from answering questions to driving outcomes. These autonomous AI agents can transform both self- and assisted service, reduce employee effort and help organisations orchestrate what feels to customers like \u201cchannel-less\u201d experiences.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The shift is generating significant interest among CX practitioners, with some viewing agentic AI as a catalyst for reimagining experience innovation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While the technology is still evolving, some organisations are already exploring the possibilities.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_section][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><strong>A new model for customer self-service<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Many organisations started their AI journeys with chatbots and virtual assistants. Agentic AI expands what\u2019s possible by their ability to handle increasingly sophisticated interactions <\/span><i><span style=\"font-weight: 400;\">and<\/span><\/i><span style=\"font-weight: 400;\"> orchestrate entire journeys.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Charles Sturt University <\/span><span style=\"font-weight: 400;\">set out to completely reshape how it supports and engages its increasingly digital student population. To address its goal of accessibility and availability, CSU introduced a virtual agent, powered by <\/span><a href=\"https:\/\/www.genesys.com\/en-gb\/capabilities\/ai-studio\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Genesys Cloud AI Guides<\/span><\/a><span style=\"font-weight: 400;\">, to align support with student behaviour<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cWe want to keep the support experience as accessible as possible and remove all the friction from our students\u2019 journeys,\u201d said Michael Buttsworth, Associate Director of Student Experience Service Centre at CSU. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The AI Guides-powered agentic virtual agents CSU has implemented so far are delivering more efficient, empathetic interactions for students \u2014 even for complex enquiries.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, after hours a student can ask the agentic virtual agent about withdrawing from a course. Rather than simply outlining the process, the agent explores what is driving the question. If the student is experiencing financial pressure or competing life commitments, the agent can suggest relevant options, such as support to help manage cost of living pressures, information about scholarships, or reducing study load to better balance work, family and study.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cStudents want a conversational bot, and the virtual agents powered by agentic AI are very conversational,\u201d added Paul Drake, Contact Centre Systems Manager at CSU.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Utility Warehouse is pursuing a similar vision. The multi-utility company recently introduced agentic AI-powered broadband troubleshooting experiences designed to move initial triage away from human agents and into intelligent digital channels.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The company is one of the first organisations to go into live production with <\/span><a href=\"https:\/\/www.genesys.com\/en-gb\/capabilities\/virtual-agents\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Genesys Cloud Agentic Virtual Agents (AVA)<\/span><\/a> <span style=\"font-weight: 400;\">powered by a Large Action Model (LAM). These autonomous bots resolve issues such as Wi-Fi troubleshooting and mobile top-ups, achieving high containment. A voice-based AVA also automates mobile prepayment journeys, extending intelligent self-service further.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cIt\u2019s an extremely positive start and it builds confidence that we can get behind this and put [AVAs] in front of other journeys,\u201d said Kevin Mythen, Product Lead at Utility Warehouse, in the webinar \u201c<\/span><a href=\"https:\/\/www.youtube.com\/watch?v=8-v0aWfQgMw\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">From answers to action: how leading brands are applying agentic AI in CX<\/span><\/a><span style=\"font-weight: 400;\">.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And healthcare provider Ascension is exploring agentic virtual agents to support appointment management, eligibility verification, supplier interactions and other transactional experiences. Early results include significant containment rates for targeted use cases.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Wipro offers another example of a practical, thoughtful approach to adopting agentic AI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s currently piloting virtual agents and exploring agentic AI use cases for high-volume scenarios such as password resets and account unlock requests. The company\u2019s goals go beyond simply automating repetitive interactions to creating a scalable self-service foundation. Wipro is targeting approximately 20% automation for selected service scenarios while reducing agent workload associated with routine customer enquiries.<\/span>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><strong>Reimagining employee experience<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Agentic AI has the potential to be a powerful enabler of self-service. Its underlying attributes \u2014 reasoning, collaboration across systems, taking action \u2014 could also allow organisations to transform the employee experience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The future of work isn\u2019t about replacing employees. It\u2019s about removing friction.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Agent assist capabilities, AI-powered knowledge surfacing, automated summaries, and conversational insights are already helping organisations reduce administrative burden and improve consistency, with measurable efficiency gains for employees.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At Ascension, leaders are focused on helping employees spend less time navigating systems and more time engaging meaningfully with patients.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cLet technology do what technology does best and then let the human do what they do best,\u201d said Brian Jones, Senior Specialist at Ascension Technologies, in the Customer Reference Forum \u201c<\/span><span style=\"font-weight: 400;\">Embracing AI Innovation<\/span><span style=\"font-weight: 400;\">.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At Utility Warehouse, AVA is saving agents two to three minutes per call through automated line checks and interaction summarisation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cIt makes their interaction simpler,\u201d said Mythen. \u201cIt frees up agents for more empathetic conversations.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The impact goes beyond productivity. When employees spend less time searching for information or documenting interactions, they can focus on empathy, judgement and relationship-building \u2014 the uniquely human capabilities customers value most.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cYou can&#8217;t help but to feel supported, empowered, and appreciated through that,\u201d said Mitchell.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Organisations are finding that the most powerful outcomes occur when autonomous systems and human expertise work together. AI handles speed, scale and consistency. Humans bring empathy, creativity, judgement and trust.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cIt\u2019s really about\u2026 making sure AI is being efficient and effective, and when necessary, keeping that human in the loop,\u201d said Jones.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That balance may ultimately define the future of customer experience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Agentic AI isn\u2019t simply another automation technology. It represents a shift towards experiences that are proactive, adaptive and outcome-oriented.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As organisations continue experimenting, piloting and scaling these capabilities, they\u2019re laying the foundation for a future where customers spend less time navigating systems and more time achieving their goals \u2014 and where employees are empowered to focus on the moments that matter most.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Discover how <\/span><a href=\"https:\/\/www.genesys.com\/en-gb\/resources\/the-cx-playbook-for-the-agentic-era\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Genesys Cloud Agentic Virtual Agent<\/span><\/a><span style=\"font-weight: 400;\"> helps leading organisations deliver the next generation of autonomous CX.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_row][vc_column][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_section full_width=&#8221;stretch_row&#8221;][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]Countless breakthroughs in customer experience (CX) have been driven by the ambition to deliver faster, more personalised experiences, at scale, while empowering employees to do their best work. Generative AI accelerated that journey; for example, by making information more accessible and helping automate time-consuming tasks such as knowledge retrieval, interaction summaries and after-call [&hellip;]<\/p>\n","protected":false},"author":880,"featured_media":631753,"template":"","tax_priority":[],"tax_blogtype":[17751],"tax_blogcategory":[15939,15991,18430],"tax_contenttheme":[14850],"tax_bundle":[],"tax_contenttheme2":[16161],"tax_capability_sitewide":[16209,16260,18308],"tax_products_programs":[16489,17531],"tax_buying_job":[16642,16658],"tax_buyer_persona":[16881],"tax_sector":[16937,16954,16997,17005,17030,17066],"tax_segment":[17096,17121,17123],"class_list":["post-635571","blog","type-blog","status-publish","has-post-thumbnail","hentry","tax_blogtype-genesys-en-gb","tax_blogcategory-ai-and-machine-learning-en-gb","tax_blogcategory-customer-highlights-en-gb","tax_blogcategory-experience-orchestration-en-gb","tax_contenttheme-improve-customer-experience-en-gb","tax_contenttheme2-improve-employee-experience-en-gb","tax_capability_sitewide-ai-and-automation-en-gb","tax_capability_sitewide-digital-en-gb","tax_capability_sitewide-journey-management-en-gb","tax_products_programs-genesys-ai-en-gb","tax_products_programs-genesys-cloud-cx-en-gb","tax_buying_job-job-1-problem-identification-en-gb","tax_buying_job-job-2-solution-exploration-en-gb","tax_buyer_persona-business-en-gb","tax_sector-financial-en-gb","tax_sector-healthcare-en-gb","tax_sector-industrial-en-gb","tax_sector-public-en-gb","tax_sector-retail-en-gb","tax_sector-technology-en-gb","tax_segment-enterprise-en-gb","tax_segment-midsized-en-gb","tax_segment-smb-en-gb","tax_content_type-blog-en-gb"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/blog\/635571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/users\/880"}],"version-history":[{"count":5,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/blog\/635571\/revisions"}],"predecessor-version":[{"id":635586,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/blog\/635571\/revisions\/635586"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/media\/631753"}],"wp:attachment":[{"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/media?parent=635571"}],"wp:term":[{"taxonomy":"tax_priority","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_priority?post=635571"},{"taxonomy":"tax_blogtype","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_blogtype?post=635571"},{"taxonomy":"tax_blogcategory","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_blogcategory?post=635571"},{"taxonomy":"tax_contenttheme","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_contenttheme?post=635571"},{"taxonomy":"tax_bundle","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_bundle?post=635571"},{"taxonomy":"tax_contenttheme2","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_contenttheme2?post=635571"},{"taxonomy":"tax_capability_sitewide","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_capability_sitewide?post=635571"},{"taxonomy":"tax_products_programs","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_products_programs?post=635571"},{"taxonomy":"tax_buying_job","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_buying_job?post=635571"},{"taxonomy":"tax_buyer_persona","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_buyer_persona?post=635571"},{"taxonomy":"tax_sector","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_sector?post=635571"},{"taxonomy":"tax_segment","embeddable":true,"href":"https:\/\/www.genesys.com\/en-gb\/wp-json\/wp\/v2\/tax_segment?post=635571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}