A large enterprise had invested significant resources in an IT-led AI initiative that was running behind schedule and over budget.
Meanwhile, approximately 70% of employees were already using their own AI tools, unsanctioned, ungoverned, and outside any security perimeter. The organization faced a widening gap between its internal AI build and actual employee adoption, creating data security vulnerabilities and wasted investment. Without intervention, the initiative would deliver a solution to a problem that no longer existed.
Alex Goryachev intervened in a stalled enterprise AI initiative by conducting employee discovery sessions to surface shadow AI adoption patterns, then restructured workflows using existing AI tools already trusted by employees, reducing manual effort by 40% and relaunching the initiative within six months.
Automated workflows cut manual effort by 40% after the initiative was relaunched with a people-first, discovery-led approach.
The relaunched AI initiative delivered measurable business results within six months of intervention, from stalled and over budget to producing value.
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