Are your AI initiatives stuck in pilot mode while the board pushes for results?

We've all felt the pressure from the board to 'do AI' effectively, yet many of us find ourselves in a frustrating loop: pilots that show promise but struggle to scale.

Getting past the initial testing phase shouldn't feel like an uphill battle. But here's the kicker: most companies mistakenly treat AI scaling as merely a technical challenge when it’s really a leadership and operational one.

To overcome this, start by asking the hard questions about data ownership, cross-department collaboration, and governance. A holistic view makes a real difference.

For example, I recently worked with a mid-market firm whose pilot demonstrated clear value. However, operational silos and undefined accountability were blocking real implementation. By restructuring their approach, they gained alignment and clarity, paving the way for smooth scaling.

The leadership implication is clear: success in AI isn't just about the technology; it's about creating a culture of accountability and ownership.

If your team is in the 'pilot worked, now what?' phase, that's a common challenge. I’m interested in hearing how others are bridging that gap.

Written by Serge Billiouw, an AI Consultant working with mid-market CEOs on AI strategy, vendor evaluation, and pilot-to-scale execution.