From AI ideas to execution - why experimentation is key

We’re currently living through an AI inflection point. What was once a future bet is now a present expectation. AI is everywhere, the pressure to deliver is real.

Amid the hype, teams are still stuck in the demo zone, iterating – but not scaling – impressive prototypes.

What’s missing isn’t vision - it’s foundation, and how we bridge the two is with experimentation. Closing this gap depends on a few key foundational elements. You need the right technology foundation – a connected system of work, rich with the data and knowledge that AI depends on. Just as important, you need a culture that empowers both human and AI teams to experiment, learn, and iterate without fear of failure. When this culture takes hold, responsible, everyday experimentation becomes the engine that transforms AI ideas into business outcomes.

By surfacing real use cases, testing assumptions, and building trust along the way, experimentation ...