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★ Tier-1 Source
Practical insights from European enterprise leaders.
Key facts
AI scaled when teams could redesign workflows and build with AI—not use it as a feature
Interviews with executives at Philips, BBVA, Mirakl, Scout24, Jetbrains and Scania converged on a shared reality for leaders: scaling AI is less about “rolling out AI” and more about building
Where security, legal, compliance, and IT were involved early as design partners, teams moved faster later—with fewer reversals and more trust
The most durable gains came from hybrid workflows—using AI to lift the ceiling on expert reasoning and review, not increase throughput
Summary
Interviews with executives at Philips, BBVA, Mirakl, Scout24, Jetbrains and Scania converged on a shared reality for leaders: scaling AI is less about “rolling out AI” and more about building the conditions where people trust it, adopt it, and improve it over time. The fastest path to adoption wasn’t a technical rollout—it was building literacy, confidence, and permission to experiment safely. Where security, legal, compliance, and IT were involved early as design partners, teams moved faster later—with fewer reversals and more trust. AI scaled when teams could redesign workflows and build with AI—not use it as a feature. The organizations that earned trust defined what “good” meant early, invested in evaluation, and were willing to delay launches when the bar wasn’t met.