AI adoption among UK businesses is accelerating this year, but transitioning from pilots to enterprise deployment remains challenging. Workato's UK survey shows over half of enterprises are experimenting with AI, while only 14 percent have implemented AI-enabled workflows across organisations, leaving many projects siloed. Nearly two-thirds of UK revenue leaders report seeing ROI from AI within the first year; 19 percent report returns in under three months and 27 percent within six to twelve months. Strategic deployments, clear alignment with business goals, and targeted investment are essential to move AI from pilot to scalable, transformative operations. Organisational unpreparedness around data, infrastructure and expertise hinders production rollout.
AI adoption among UK businesses is accelerating this year, yet transitioning from small-scale pilots to widespread deployment remains a challenge. Workato's UK survey shows that over half of enterprises are experimenting with AI, but only 14 percent have managed to implement AI-enabled workflows across their organisations as many projects remain siloed . This gap underscores a common risk: companies may launch promising pilots but fail to operationalise AI at scale.
Scaling AI in real-world operations is a fundamentally different challenge from running small-scale pilots. While pilots offer controlled, low‑risk environments to test AI's potential, they often provide limited insight into enterprise-level operational realities. Alarming data shows that 88 percent of AI pilots (PoC, proofs of concept) never reach production scale. An IDC report highlights that for every 33 AI prototypes launched, only four make it to full operational deployment, reflecting widespread organisational unpreparedness, particularly around data, infrastructure, and expertise.
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