{"id":910,"date":"2025-06-09T17:45:29","date_gmt":"2025-06-09T12:15:29","guid":{"rendered":"https:\/\/blogs.infosys.com\/infosys-consulting\/?p=910"},"modified":"2025-06-09T17:45:45","modified_gmt":"2025-06-09T12:15:45","slug":"driving-enterprise-gen-ai-with-organizational-change-management","status":"publish","type":"post","link":"https:\/\/blogs.infosys.com\/infosys-consulting\/life-sciences\/driving-enterprise-gen-ai-with-organizational-change-management.html","title":{"rendered":"Driving Enterprise Gen AI with Organizational Change Management"},"content":{"rendered":"<h4>Executive Summary<\/h4>\n<p>This article throws light on a leading global animal health company&#8217;s innovative Organizational Change Management (OCM) strategy to achieve 100% adoption of Generative AI (Gen AI) by 2025. By establishing a Gen AI Champion Network and engaging C-suite leaders, the company successfully increased adoption from 45% to over 75% during the pilot phase. This approach has not only addressed workforce diversity and varying enthusiasm but also integrated the rollout of a new Gen AI platform, fostering sustainable growth in productivity and innovation.<\/p>\n<h4>Background<\/h4>\n<p>Generative AI (Gen AI) holds immense promise to boost productivity and innovation in the Life Sciences sector. However, realizing this potential requires more than just deploying tools; it demands a tailored Organizational Change Management (OCM) strategy that aligns with both the unique challenges of Gen AI and the organization\u2019s culture.<\/p>\n<h4>The Challenges<\/h4>\n<p>A leading global animal health company set an ambitious target \u2014 to achieve 100% Gen AI adoption and gain 1 million hours of productivity by the end of 2025. Yet, several hurdles stood in the way:<\/p>\n<ul>\n<li>A globally distributed workforce of over 12,000 employees.<\/li>\n<li>Uneven enthusiasm across business units with some being eager and others resistant.<\/li>\n<li>The need for relevant, role-specific use cases to drive engagement.<\/li>\n<li>Simultaneous rollout of a new enterprise Gen AI platform, risking confusion and misalignment.<\/li>\n<\/ul>\n<h4>The Approach: A Two-Pronged OCM Strategy<\/h4>\n<p>To tackle these challenges, the company implemented a structured OCM plan focused on both bottom-up engagement and top-down sponsorship. It entailed the following:<\/p>\n<h5>Gen AI Champion Network<\/h5>\n<ul>\n<li>Created a global peer-led community to train, support, and motivate colleagues.<\/li>\n<li>Champions collected feedback and highlighted relevant best practices and use cases.<\/li>\n<\/ul>\n<h5>Leadership Engagement<\/h5>\n<ul>\n<li>C-suite executives recorded training videos and participated in town halls.<\/li>\n<li>Senior leaders helped drive consistent messaging and credibility across regions.<\/li>\n<\/ul>\n<h5>Platform Rollout Integration<\/h5>\n<ul>\n<li>Coordinated Gen AI adoption efforts with the launch of a new enterprise Gen AI tool.<\/li>\n<li>Turned the excitement around new technology into a cohesive communication and adoption opportunity.<\/li>\n<\/ul>\n<h4>Results So Far<\/h4>\n<p>Though still in the pilot phase, the strategy has already yielded significant traction:<\/p>\n<ul>\n<li>Gen AI adoption rose from 45% to over 75% in early 2025 (measured by weekly usage).<\/li>\n<li>Positive feedback from both Champions and business units has validated the approach.<\/li>\n<li>A foundation is now in place to scale adoption sustainably through 2025 and beyond.<\/li>\n<\/ul>\n<h4>Conclusion<\/h4>\n<p>Technology sparks change, but it\u2019s people who make it real. The company\u2019s Gen AI Champion-led model is turning into a lasting, scalable movement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Executive Summary This article throws light on a leading global animal health company&#8217;s innovative [&hellip;]<\/p>\n","protected":false},"author":868,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[218],"tags":[288,289,287],"coauthors":[285,286,237],"class_list":["post-910","post","type-post","status-publish","format-standard","hentry","category-life-sciences","tag-generative-ai-adoption","tag-innovation","tag-ocm-strategy"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/posts\/910","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/users\/868"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/comments?post=910"}],"version-history":[{"count":3,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/posts\/910\/revisions"}],"predecessor-version":[{"id":914,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/posts\/910\/revisions\/914"}],"wp:attachment":[{"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/media?parent=910"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/categories?post=910"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/tags?post=910"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-consulting\/wp-json\/wp\/v2\/coauthors?post=910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}