{"id":8255,"date":"2026-05-21T22:03:08","date_gmt":"2026-05-21T22:03:08","guid":{"rendered":"https:\/\/gruve.ai\/?post_type=video&amp;p=8255"},"modified":"2026-05-21T22:03:08","modified_gmt":"2026-05-21T22:03:08","slug":"what-ai-governance-in-regulated-industries-actually-looks-like","status":"publish","type":"video","link":"https:\/\/gruve.ai\/ae\/video\/what-ai-governance-in-regulated-industries-actually-looks-like\/","title":{"rendered":"&#8220;Compliant by Design from Day One.&#8221; \u2014 What AI Governance in Regulated Industries Actually Looks Like"},"content":{"rendered":"<p>Enterprise AI isn&#8217;t stalling because of technology. It&#8217;s stalling because of governance, compliance, and cost predictability.<\/p>\n<p>In this conversation, Tarun Batra (CEO, Gruve), Ajay Dankar (Co-Founder, Trussed AI), and Archana Jain (Group CTO, Zurich Insurance Group) break down what it actually takes to move AI from pilot to production in regulated industries: and why compliance can&#8217;t be retrofitted after the fact.<\/p>\n<p>What they cover:<\/p>\n<ul>\n<li>Why enterprise AI initiatives stall \u2014 and the three root causes<\/li>\n<li>Why reactive, manual compliance won&#8217;t work for agentic AI<\/li>\n<li>How the Gruve \u00d7 Trussed AI partnership delivers governance enforced in real time<\/li>\n<li>What &#8220;compliant by design from day one&#8221; looks like in practice<\/li>\n<li>Where enterprise AI in insurance, healthcare, and financial services is headed in the next 12\u201318 months<\/li>\n<\/ul>\n<p>The core insight: When an AI agent is making a business decision in real time, end-of-quarter compliance reviews are already too late. Governance needs to be built in from day one; not retrofitted after you&#8217;ve started scaling.<\/p>\n<p>\ud83d\udd17 <a href=\"https:\/\/gruve.ai\/ae\/news\/why-having-an-ai-policy-isnt-enough\/\">Read the full blog<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Enterprise AI isn&#8217;t stalling because of technology. It&#8217;s stalling because of governance, compliance, and cost predictability. In this conversation, Tarun Batra (CEO, Gruve), Ajay Dankar (Co-Founder, Trussed AI), and Archana Jain (Group CTO, Zurich Insurance Group) break down what it actually takes to move AI from pilot to production in regulated industries: and why compliance [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":8254,"template":"","industry":[],"topic":[13],"class_list":["post-8255","video","type-video","status-publish","has-post-thumbnail","hentry","topic-ai-infrastructure-security"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Governance in Regulated Industries | What It Actually Looks Like | Gruve<\/title>\n<meta name=\"description\" content=\"Enterprise AI stalls on governance, compliance, and cost predictability \u2014 not technology. 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