In a recent conversation, Schrock shared a pragmatic perspective on what it takes to move beyond AI hype\u2014and why outcomes, not ambition, are the real measure of success.<\/p>\n
Outcomes over theater<\/p>\n
Schrock\u2019s view is straightforward: \u201cAI of itself has no inherent value. It derives value only by delivering an outcome that they couldn\u2019t otherwise achieve.\u201d For leaders, that distinction reframes AI from theoretical outcomes to tangible results.<\/p>\n
That mindset shapes how he approaches transformation. Executives, he notes, aren\u2019t looking for bold promises or futuristic demos. They want to understand how AI applies to their business\u2014how it improves speed, quality, consistency, and the customer experience in measurable ways.<\/p>\n
The shift isn\u2019t philosophical. It\u2019s operational.<\/p>\n
Where AI actually changes work<\/p>\n
As Schrock explains, \u201cThe fact that you\u2019re going to use AI does not change those cultural underpinnings of the company. But what people do day\u2011to\u2011day \u2014 that\u2019s what changes with AI.\u201d<\/p>\n
In practice, AI shifts behavior, not values\u2014helping teams move faster, work more consistently, and focus on higher\u2011impact decisions by reducing friction in day\u2011to\u2011day work.<\/p>\n
When AI is embedded directly into the flow of work, it reduces friction. It helps teams get to a first draft faster, make better decisions, and spend less time on repetitive tasks.<\/p>\n
This is where AI tools matter\u2014not as features, but as enablers. Embedding AI into familiar workflows, including tools like Microsoft 365 Copilot<\/a> and custom agents built with Copilot Studio<\/a>, helps minimize context switching and lowers the barrier to adoption. AI works best when it shows up where people already work.<\/p>\n A concrete way to operationalize AI<\/p>\n At Crowe, that philosophy is backed by a deliberate operating choice.<\/p>\n Rather than trying to reinvent the business from inside existing structures, the firm made a conscious decision to take Crowe Studio\u2014its innovation arm\u2014out of the central business units and operate it as a standalone group. Designed to move with different rules, greater speed, and a longer\u2011term investment horizon, the model allows innovation to happen continuously, not episodically.<\/p>\n For Schrock, that structure matters. It creates space to innovate with speed, build trust with leadership, and deliver change without putting the broader organization at risk.<\/p>\n Trust is the real foundation<\/p>\n For Schrock, trust\u2014not technology\u2014is what ultimately determines whether AI scales. Leaders need confidence not only in the tools themselves, but in the environment those tools are introduced into.<\/p>\n As he puts it, \u201cUsing Microsoft, that\u2019s where the executives are comfortable. That\u2019s where your people come to work every day. If I can use that as a foundation, I start with that fundamental trust layer.\u201d<\/p>\n That trust layer matters. When AI is introduced through familiar, trusted platforms, organizations can move faster with less friction. Adoption feels safer. Change feels intentional. And leaders are able to focus less on risk management and more on results.<\/p>\n Trust, in this sense, isn\u2019t a soft concept\u2014it\u2019s an accelerant. It\u2019s what allows organizations to move from experimentation to execution, and from isolated pilots to meaningful, business\u2011wide impact.<\/p>\n The moment leaders can\u2019t ignore<\/p>\n Looking ahead, Schrock believes leaders are operating in a narrow window. \u201cI find it rather implausible three years from now that you\u2019re going to say, \u2018I did too much in AI,\u2019\u201d he says. \u201cYou\u2019re going to say, \u2018I wish I would have done more.\u2019\u201d<\/p>\n For leaders, the question isn\u2019t whether AI will matter\u2014but whether they moved early enough to turn intent into sustained advantage.<\/p>\n Looking for more real\u2011world perspectives?<\/p>\n \t\t\t\t\t\t\t![\"Microsoft](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/04\/R6wl9gWl_400x400-250x250.jpg\")
\t\t\t\t\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"Artificial intelligence has reached an inflection point. The conversation is no longer about what AI could do\u2014but whether…\n","protected":false},"author":2,"featured_media":12162,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[24,420,7829,416,9021,545,320,8172,7828],"class_list":{"0":"post-12161","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-microsoft","8":"tag-ai","9":"tag-azure","10":"tag-azure-ai","11":"tag-copilot","12":"tag-copilot-studio","13":"tag-digital-transformation","14":"tag-microsoft","15":"tag-microsoft-365-copilot","16":"tag-microsoft-ai"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/12161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=12161"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/12161\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/12162"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=12161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=12161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=12161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}