It starts with enthusiasm.
A team launches a pilot project in AI \u2014 a promising use case, a small dataset, some initial results that look impressive in a presentation.<\/p>\n\n\n\n
Everyone nods, curious and optimistic. Six months later, the proof of concept has vanished into the archives. The idea was good, the technology worked, but nothing ever reached production.<\/p>\n\n\n\n
The problem isn\u2019t technical. It\u2019s structural.
POCs often live in a bubble \u2014 disconnected from the organization\u2019s real capabilities, processes, and decision cycles.<\/p>\n\n\n\n
The team learns something interesting, but the rest of the company doesn\u2019t.
And the same pattern repeats: endless experiments, few results, and a growing sense of frustration.<\/p>\n\n\n\n
AI projects can\u2019t live apart from the rest of the enterprise. They must fit into the system \u2014 its identity, operations, and ambitions.<\/p>\n\n\n\n
That\u2019s where enterprise design tools like EDGY<\/strong> come in: they help visualize where AI truly creates value and where it doesn\u2019t. A large retailer launched an AI chatbot to handle customer inquiries. Technically, it worked. Instead of scaling the bot, the company used the POC as a mirror: it revealed missing links between teams and systems. That\u2019s when AI started creating real value.<\/p>\n\n\n\n Scaling isn\u2019t about deploying models faster. A good AI strategy turns experiments into learning loops<\/strong>:<\/p>\n\n\n\n That\u2019s how the real acceleration happens.<\/p>\n\n\n\n AI maturity isn\u2019t about quantity of experiments, but quality of learning. Because in the end, it\u2019s not about proving that AI works. Should we stop doing POCs altogether?<\/strong> How do we know if an AI project is scalable?<\/strong> Who should lead AI initiatives?<\/strong> It starts with enthusiasm.A team launches a pilot project in AI \u2014 a promising use case, a small dataset, some initial results that look impressive in a presentation. Everyone nods, curious and optimistic. Six months later, the proof of concept has vanished into the archives. The idea was good, the technology worked, but nothing ever […]<\/p>\n","protected":false},"author":2,"featured_media":423,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63,69],"tags":[],"class_list":["post-425","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-a-i","category-opinions-en"],"_links":{"self":[{"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/posts\/425","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/comments?post=425"}],"version-history":[{"count":2,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/posts\/425\/revisions"}],"predecessor-version":[{"id":433,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/posts\/425\/revisions\/433"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/media\/423"}],"wp:attachment":[{"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/media?parent=425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/categories?post=425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/andfriends.ca\/blog\/wp-json\/wp\/v2\/tags?post=425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
It\u2019s not about more POCs, but about building the conditions for scalability<\/strong>: shared understanding, clear ownership, and measurable value.<\/p>\n\n\n\n
\n\n\n\nMini-story: the chatbot that taught a lesson<\/h2>\n\n\n\n
But the real pain point wasn\u2019t the chatbot \u2014 it was the lack of coordination between departments managing returns, logistics, and client data.<\/p>\n\n\n\n
The next project didn\u2019t involve a chatbot at all \u2014 it focused on connecting data flows and improving processes.<\/p>\n\n\n\n
\n\n\n\nFrom proof of concept to proof of impact<\/h2>\n\n\n\n
It\u2019s about ensuring that each project strengthens the organization\u2019s capabilities, not just its technology stack.<\/p>\n\n\n\n\n
\n\n\n\nMetrics that matter<\/h2>\n\n\n\n
\n
\n\n\n\nAnd after?<\/h2>\n\n\n\n
A single well-aligned project teaches more \u2014 and scales better \u2014 than ten disconnected ones.<\/p>\n\n\n\n
It\u2019s about proving that it works for you<\/strong>.<\/p>\n\n\n\nFAQ<\/h2>\n\n\n\n
No. POCs are useful \u2014 as long as they\u2019re designed to learn something relevant to the organization\u2019s strategy, not just to \u201ctry the technology.\u201d<\/p>\n\n\n\n
When the use case is connected to real business value, when ownership is clear, and when the organization has (or can build) the capacity to absorb it.<\/p>\n\n\n\n
Not just the tech team. The most successful projects are co-led by business owners and data experts, working together toward a shared outcome.<\/p>\n","protected":false},"excerpt":{"rendered":"