{"id":41661,"date":"2026-03-16T16:40:40","date_gmt":"2026-03-16T16:40:40","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=article&#038;p=41661"},"modified":"2026-03-16T16:40:40","modified_gmt":"2026-03-16T16:40:40","slug":"scaling-agentic-ai-governance","status":"publish","type":"article","link":"https:\/\/www.dataiq.global\/devstage\/articles\/scaling-agentic-ai-governance\/","title":{"rendered":"Scaling Agentic AI \u2013 Frameworks, Governance, and Real-World Impact"},"content":{"rendered":"<p><em>This is a shorter version of the full article. The full learnings can be found on the members only\u00a0<a href=\"https:\/\/hub.dataiq.global\/posts\/what-s-next-for-the-role-of-the-cdo\" target=\"_blank\" rel=\"nofollow noopener\">DataIQ Hub<\/a>.<\/em><\/p>\n<p><span data-contrast=\"auto\">Across industries,\u00a0leaders are confronting the same underlying challenge. Agentic AI\u00a0cannot be seen as\u00a0another technology layer; it reshapes operating models, governance, workforce design, and even who the \u201ccustomer\u201d might be.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The early lessons suggest the path to scale is less about technical capability and more about organisational clarity.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Gavin Goodland, Chief Data Officer, National Grid; Miryem Salah, Director Digital Data &amp; Transformation\u00a0VodafoneThree;\u00a0Perry Philipp, Chief Data Officer,\u00a0Entain;\u00a0Shreenivasa\u00a0Rajanala, VP, Global Head of Data Science and Advanced Analytics \u2013 Markets &amp; Customer Powerhouse, Bayer; and Viveca Pavon, Data &amp; AI Lead for Public Sector, Accenture, joined a panel at the 2026 DataIQ\u00a0100\u00a0Discussion to dive into frameworks, governance, and real-world impact.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">Key takeaways:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<ul>\n<li><span data-contrast=\"auto\">Identification\u00a0of pilots that can scale to achieve organisational success<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Interaction with AI is changing rapidly<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Governance does not mean\u00a0centralised\u00a0control<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">The workforce will change<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Measuring value\u00a0remains\u00a0difficult<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">From a thousand pilots to a curated strategy<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Many organisations started\u00a0by\u00a0letting innovation run loose.\u00a0In several cases, the first phase of generative AI adoption resembled what one leader described as letting \u201ca thousand flowers bloom\u201d.\u00a0Teams experimented with use cases across marketing, documentation, internal\u00a0productivity\u00a0and customer support. Some initiatives worked, others did not, but the aim was exploration rather than optimisation.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">With the\u00a0exploratory phase now closing, leaders are shifting towards a more deliberate portfolio approach,\u00a0identifying\u00a0which use cases genuinely drive business value and concentrating resources there. Efficiency and effectiveness have become the two dominant lenses\u00a0focused on\u00a0where AI reduces cost, and where it improves outcomes.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The shift is\u00a0about\u00a0structuring innovation.\u00a0Innovation is still happening across organisations, but the most promising ideas are increasingly pulled into a central strategy\u00a0by\u00a0turning scattered pilots into what one executive described as a \u201ccurated garden\u201d.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This change reflects a broader realisation\u00a0that\u00a0scaling AI requires governance of\u00a0both\u00a0risk\u00a0and\u00a0attention.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">Governance is no longer about control<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Perhaps the\u00a0most visible tension in the agentic AI discussion is governance\u00a0as\u00a0almost every\u00a0organisation began with the same instinct\u00a0of\u00a0shutting\u00a0everything down.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Early in the\u00a0GenAI wave,\u00a0many\u00a0companies banned external tools outright while they assessed risks around data exposure and intellectual property. That lockdown phase was typically short-lived\u00a0as two forces made it unsustainable.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Firstly, employees continued experimenting anyway, often using personal tools. Secondly, competitors were moving quickly\u00a0and a\u00a0rigid ban risked leaving organisations behind.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The emerging governance model therefore looks different. Instead of\u00a0attempting\u00a0to control experimentation, companies are focusing on three areas:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Guardrails. Secure environments, approved\u00a0tools,\u00a0and policy frameworks that enable safe experimentation.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Transparency. Mechanisms that show exactly how agents are built,\u00a0including data sources,\u00a0models,\u00a0and prompts.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Proportional oversight. Heavy governance for high-impact systems, but far lighter controls for individual productivity tools.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Organisations are developing what\u00a0can\u00a0be described as an AI \u201ccontrol plane\u201d\u00a0or\u00a0a way to\u00a0observe\u00a0and intervene across a distributed ecosystem of agents without centralising everything.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The ambition is\u00a0like\u00a0workforce management,\u00a0whereby\u00a0if an agent behaves badly, it can be removed or corrected without shutting down the entire system.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">Value is\u00a0emerging,\u00a0but measurement\u00a0remains\u00a0difficult<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Where is the value?\u00a0The answer is beginning to appear, but unevenly.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Text-heavy processes, such as\u00a0legal work, documentation, regulatory submissions, marketing content, etc,\u00a0are producing the clearest early gains. In several cases, organisations report significant reductions in time-to-output and noticeable cost improvements.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Knowledge management is also\u00a0showing rapid returns.\u00a0Companies are discovering that large language models expose weaknesses in their knowledge bases, including\u00a0fragmented documentation,\u00a0outdated\u00a0policies,\u00a0and poorly structured information.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Improving these foundations delivers immediate productivity benefits, yet measuring the overall\u00a0financial impact\u00a0of AI\u00a0remains\u00a0difficult. Traditional business cases struggle when AI capabilities are embedded across multiple systems and processes simultaneously.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Some organisations are responding by creating dedicated value realisation functions, designed to track AI\u2019s contribution across the full operating model rather than within individual projects.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI rarely produces value in isolation; it amplifies existing processes, data\u00a0assets,\u00a0and organisational structures, which is why strong, clean foundations are so essential.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">Organisations\u00a0are\u00a0becoming AI-native<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Technology itself is rarely the limiting factor.\u00a0The constraints lie in governance, data quality, workforce\u00a0readiness,\u00a0and organisational design.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Scaling agentic AI requires a mindset\u00a0focused on\u00a0creating an environment where AI systems, employees,\u00a0and data can\u00a0operate\u00a0together effectively.\u00a0For many organisations, that transition has only just begun, but the trajectory is becoming clearer.\u00a0What started as a wave of experimentation is slowly evolving into the redesign of how organisations\u00a0operate\u00a0in an AI-enabled world.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><em>This is a shorter version of the full article. The full learnings can be found on the members only\u00a0<a href=\"https:\/\/hub.dataiq.global\/posts\/what-s-next-for-the-role-of-the-cdo\" target=\"_blank\" rel=\"nofollow noopener\">DataIQ Hub<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A panel at the 2026 DataIQ\u00a0100\u00a0Discussion examined frameworks, governance, and real-world impact in an environment where agentic AI is rapidly scaling. <\/p>\n","protected":false},"author":19,"featured_media":41662,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"categories":[129,398],"tags":[217,1220,755,495,1441,1471,229],"pillar":[198],"class_list":["post-41661","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-editorial","category-public","tag-ai","tag-frameworks","tag-governance","tag-innovation","tag-pilots","tag-scale","tag-value","pillar-governance"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-20 19:52:11","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/41661","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=41661"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/41661\/revisions"}],"predecessor-version":[{"id":41664,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/41661\/revisions\/41664"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/41662"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=41661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/categories?post=41661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=41661"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=41661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}