Executives at Philips, BBVA, Mirakl, Scout24, Jetbrains and Scania are sharing insights into how enterprises are scaling AI, prioritizing trust and adoption over rollout speed. OpenAI presents findings that organizations successfully scaling AI aren’t simply moving faster; they are building deliberate systems grounded in workflow design and governance. Early involvement of security, legal, compliance, and IT teams consistently enabled faster implementation with fewer setbacks. “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 research states, demonstrating that durable gains come from hybrid workflows enhancing, rather than replacing, expert human judgment.
The organizations demonstrating success aren’t necessarily the fastest, but those creating environments where individuals feel empowered to experiment with AI safely. This focus on safe experimentation allows for more effective integration and broader adoption of AI tools within the enterprise.
The organizations pulling ahead aren’t simply moving faster; they’re moving more deliberately, prioritizing thoughtful implementation over speed.
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.
Interviews with executives at Philips, BBVA, Mirakl, Scout24, Jetbrains and Scania
AI scaled when teams could redesign workflows and build with AI, not just use it as a feature. Where security, legal, compliance, and IT were involved early as design partners, teams moved faster later, with fewer reversals and more trust.
Quality before scale 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
Organizations are consistently moving beyond individual productivity toward AI embedded in end-to-end workflows, with human oversight in place. Sustained impact requires trust, ownership, and quality built in from the start, ensuring that AI serves as a valuable and reliable component of business processes.
