{"id":22371,"date":"2026-08-03T16:29:47","date_gmt":"2026-08-03T14:29:47","guid":{"rendered":"https:\/\/pmdoc.ua\/?page_id=22371"},"modified":"2026-08-03T19:04:28","modified_gmt":"2026-08-03T17:04:28","slug":"ai-adoption","status":"publish","type":"page","link":"https:\/\/pmdoc.ua\/en\/training\/ai\/ai-adoption\/","title":{"rendered":"ai.Adoption"},"content":{"rendered":"<h2>Leading AI Adoption<\/h2>\n<h3>Enterprise AI Adoption &amp; AI Transformation Training<\/h3>\n<p>Lead the system \u2014 not just the tools.<\/p>\n<p><strong>Leading AI Adoption<\/strong>\u00a0is a practical\u00a0<strong>enterprise AI adoption<\/strong>\u00a0and\u00a0<strong>AI transformation training<\/strong>\u00a0for people who must turn \u201ceveryone use AI\u201d into a governed, measurable program. Licenses and demos are not adoption. Real\u00a0<strong>AI change management<\/strong>\u00a0means outcomes, roles, skills, processes,\u00a0<strong>AI pilot projects<\/strong>, and guardrails that outlast the hype.<\/p>\n<p>This is not a coding course. It is not \u201cgenerative AI for executives\u201d (that exists separately). This course is for people who\u00a0<strong>own AI adoption<\/strong>:\u00a0<strong>AI strategy<\/strong>,\u00a0<strong>AI readiness<\/strong>, internal\u00a0<strong>AI upskilling<\/strong>\u00a0\/\u00a0<strong>AI literacy<\/strong>, redesign of work,\u00a0<strong>AI governance<\/strong>,\u00a0<strong>responsible AI<\/strong>, and\u00a0<strong>agentic AI<\/strong>\u00a0oversight \u2014 while the\u00a0<strong>AI operating model<\/strong>\u00a0shifts.<\/p>\n<p>Sometimes\u00a0<strong>project context<\/strong>\u00a0is enough to start. Sometimes you must build a shared\u00a0<strong>ontology<\/strong>\u00a0\u2014 a clear domain structure so teams, tools, and agents mean the same things. You will learn when each path is right.<\/p>\n<p>You leave with what the organization must build: training program, skills map, operating model, pilot portfolio \u2014 and how to lead\u00a0<strong>generative AI adoption<\/strong> without burnout or shadow AI chaos.<\/p>\n<table border=\"0\">\n<tbody>\n<tr>\n<td><strong>Instructor<\/strong><\/td>\n<td><a href=\"https:\/\/pmdoc.ua\/en\/evgeniy_musienko\/\">Yevhen Musiienko (Eugene Musienko), PMP<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>Duration<\/strong><\/td>\n<td>2 days<\/td>\n<\/tr>\n<tr>\n<td><strong>Participants<\/strong><\/td>\n<td>8\u201316<\/td>\n<\/tr>\n<tr>\n<td><strong>Language<\/strong><\/td>\n<td>English, Ukrainian, or Russian<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Target Audience<\/h3>\n<p>For leaders and change agents who make\u00a0<strong>AI in the enterprise<\/strong>\u00a0work across teams \u2014 not only personal productivity.<\/p>\n<ul>\n<li>Transformation leads, agile coaches, Scrum Masters owning\u00a0<strong>AI adoption<\/strong><\/li>\n<li><strong>PMO<\/strong>\u00a0\/ delivery leaders coordinating AI initiatives (<strong>AI for PMO<\/strong>)<\/li>\n<li>Heads of digital, innovation, or operations launching company-wide AI programs<\/li>\n<li>Program and project managers connecting\u00a0<strong>AI strategy<\/strong>\u00a0with delivery<\/li>\n<li>HR \/ L&amp;D designing\u00a0<strong>AI upskilling<\/strong>\u00a0and internal\u00a0<strong>AI literacy<\/strong>\u00a0programs<\/li>\n<li>Risk, compliance, and knowledge managers needing usable\u00a0<strong>AI governance<\/strong>\u00a0and\u00a0<strong>responsible AI<\/strong><\/li>\n<li>Product and engineering managers preparing AI-augmented ways of working<\/li>\n<\/ul>\n<p>No deep technical AI background required.<\/p>\n<h3>Knowledge and Skills Acquired<\/h3>\n<p><strong>Participants will understand:<\/strong><\/p>\n<ul>\n<li>What\u00a0<strong>enterprise AI adoption<\/strong>\u00a0really is \u2014 and why \u201cgive everyone a license\u201d fails<\/li>\n<li>Personal AI vs AI at the\u00a0<strong>core of the workflow<\/strong><\/li>\n<li>When\u00a0<strong>project context<\/strong>\u00a0is enough vs when you need a full\u00a0<strong>ontology<\/strong>\u00a0for the domain<\/li>\n<li>Skills, technologies, and\u00a0<strong>internal training programs<\/strong>\u00a0the organization must build<\/li>\n<li>New and changing roles, responsibilities, and people impact<\/li>\n<li><strong>Governing principles:<\/strong>\u00a0ethics,\u00a0<strong>human-in-the-loop AI<\/strong>, risk, data, and\u00a0<strong>agent oversight<\/strong><\/li>\n<li>How to choose tools by\u00a0<strong>context<\/strong>\u00a0\u2014 not by hype<\/li>\n<li>How\u00a0<strong>AI agents<\/strong>\u00a0and\u00a0<strong>agentic workflows<\/strong>\u00a0change delivery \u2014 and how to govern them<\/li>\n<\/ul>\n<p><strong>Participants will be able to:<\/strong><\/p>\n<ul>\n<li>Design an\u00a0<strong>AI adoption roadmap<\/strong>\u00a0(ambition \u2192 pilots \u2192 scale)<\/li>\n<li>Split the portfolio: try AI \/ fix flow first \/ not yet<\/li>\n<li>Build a skills and\u00a0<strong>AI upskilling<\/strong>\u00a0plan for teams<\/li>\n<li>Define roles, RACI, and cadence for the\u00a0<strong>AI operating model<\/strong><\/li>\n<li>Apply\u00a0<strong>human-in-the-loop<\/strong>\u00a0and ethical guardrails to real use cases<\/li>\n<li>Structure an\u00a0<strong>AI pilot<\/strong>\u00a0portfolio with metrics and keep \/ pivot \/ stop<\/li>\n<li>Brief sponsors on authority, steering, and funding<\/li>\n<\/ul>\n<h3>Main Topics<\/h3>\n<h4>Module 1: Understanding AI Transformation (Not Tool Rollout)<\/h4>\n<ul>\n<li>Why \u201c10\u00d7 faster\u201d is not a business outcome<\/li>\n<li>Personal AI vs core AI workflows<\/li>\n<li>Adoption vs experiments vs shadow AI<\/li>\n<li><strong>AI readiness<\/strong>\u00a0\u2014 what \u201cdone\u201d looks like in year one<\/li>\n<\/ul>\n<h4>Module 2: Use Cases \u2014 Good Fits and Bad Fits<\/h4>\n<ul>\n<li>Where AI wins: documentation, text, research, synthesis, contained workflows<\/li>\n<li>Where AI fails early: multi-team value streams with long handovers<\/li>\n<li>Case pattern: multi-agent documentation review + human final approval<\/li>\n<li>How to say \u201cnot yet\u201d without blocking the company<\/li>\n<\/ul>\n<h4>Module 3: Skills, Technology, Ontology, and Internal Training<\/h4>\n<ul>\n<li>Skills map: leaders, PMs, delivery teams, specialists<\/li>\n<li><strong>AI literacy<\/strong>\u00a0first; then workflow design and data boundaries<\/li>\n<li>Building an internal\u00a0<strong>AI training<\/strong>\u00a0curriculum and practice loops<\/li>\n<li><strong>Project context<\/strong>\u00a0vs building a shared\u00a0<strong>ontology<\/strong>\u00a0for agents and teams<\/li>\n<li>Tool landscape: chat tools vs\u00a0<strong>agentic AI<\/strong>\u00a0and automation<\/li>\n<li>Selecting tools by context vs enterprise platform decisions<\/li>\n<\/ul>\n<h4>Module 4: New Roles, New Processes, People Impact<\/h4>\n<ul>\n<li>Role shifts under AI<\/li>\n<li>Processes with AI in the\u00a0<strong>core of delivery<\/strong><\/li>\n<li>Upskilling, redeployment, honest talk about job change<\/li>\n<li><strong>AI change management:<\/strong>\u00a0sponsorship, resistance, trust<\/li>\n<\/ul>\n<h4>Module 5: AI Governance, Ethics, Human-in-the-Loop, Agents<\/h4>\n<ul>\n<li><strong>AI governance<\/strong>\u00a0principles you can adopt (not poster ethics)<\/li>\n<li><strong>Responsible AI<\/strong>\u00a0and\u00a0<strong>human-in-the-loop<\/strong>\u00a0design<\/li>\n<li><strong>AI agents<\/strong>\u00a0and\u00a0<strong>multi-step agentic workflows<\/strong>\u00a0\u2014 value and control points<\/li>\n<li>Risk, data classes, approved tools, stop rules<\/li>\n<li>Steering cadence (1 hour max) and decision rights<\/li>\n<\/ul>\n<h4>Module 6: Leading Adoption Across the Organization<\/h4>\n<ul>\n<li>Ambition and measurable outcomes<\/li>\n<li>Parallel\u00a0<strong>AI pilot projects<\/strong>\u00a0vs one hero pilot<\/li>\n<li>Transformation metrics and pilot metrics<\/li>\n<li>From pilots to funding value streams<\/li>\n<li>Workshop: company\u00a0<strong>AI adoption<\/strong>\u00a0one-pager + 90-day plan<\/li>\n<\/ul>\n<h3>Deliverables<\/h3>\n<ol>\n<li>AI Adoption Roadmap Canvas<\/li>\n<li>Skills &amp; Internal Training Blueprint<\/li>\n<li>Governance Starter Pack (principles, HITL, agent guardrails)<\/li>\n<li>Pilot Portfolio Template<\/li>\n<li>Sponsor Brief Template<\/li>\n<li>Certificate of Completion<\/li>\n<\/ol>\n<p>Optional follow-up consultation (not included in price).<\/p>\n<h3>Related Trainings<\/h3>\n<table border=\"1\">\n<tbody>\n<tr>\n<th>Training<\/th>\n<th>Focus<\/th>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/pmdoc.ua\/en\/training\/ai\/ai-leadership\/\">Generative AI for Leaders &amp; Executives<\/a><\/td>\n<td>Executive GenAI literacy and tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Leading AI Adoption<\/strong>\u00a0<em>(this course)<\/em><\/td>\n<td>Enterprise AI adoption system<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/pmdoc.ua\/en\/training\/ai\/ai-projects\/\">Leading AI Projects<\/a><\/td>\n<td>Deliver one AI initiative end-to-end<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Booking<\/h3>\n<p><a href=\"https:\/\/pmdoc.ua\/Contacts\">PMDoc.ua\/Contacts<\/a>\u00a0\u00b7 Instructor\u00a0<strong>Yevhen Musiienko<\/strong>: +380 (67) 980-2577 \u00b7 nitoiti@gmail.com \u00b7\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/Evgeniy-Musienko-gkb1b981\">LinkedIn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Leading AI Adoption Enterprise AI Adoption &amp; AI Transformation Training Lead the system \u2014 not just the tools. Leading AI Adoption\u00a0is a practical\u00a0enterprise AI adoption\u00a0and\u00a0AI transformation training\u00a0for people who must turn \u201ceveryone use AI\u201d into a governed, measurable program. Licenses and demos are not adoption. Real\u00a0AI change management\u00a0means outcomes, roles, skills, processes,\u00a0AI pilot projects, and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":19497,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-22371","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/22371","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/comments?post=22371"}],"version-history":[{"count":3,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/22371\/revisions"}],"predecessor-version":[{"id":22410,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/22371\/revisions\/22410"}],"up":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/19497"}],"wp:attachment":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/media?parent=22371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}