Published: October 16, 2025 at 10:20 am
We’re seeing AI implementations beginning to move out of the realm of pilots, prototypes and proof-of-concepts.
Across industries, organisations are moving from experimentation to enterprise rollout. What was once a curiosity in innovation teams is becoming part of core operations, customer experiences, and decision making.
This shift is transformative, but it is also fraught with risk. The transition from experiment to production is where AI initiatives can stumble. Technologies (or approaches) that looked promising in controlled environments struggle to deliver at scale; users resist adoption; costs rise; and momentum stalls.
So how should firms approach this? And is a rethink of consultancy needed with the true arrival of AI?