What will it really take to move AI from proof-of-concept to something that delivers value at scale?
In this episode of Tech Talks Daily I’m joined by Simon PettitArea Vice President for Great Britain and Ireland at UiPathfor an informed conversation about what’s actually happening within enterprises as AI and automation move beyond experimentation.
Simon brings a refreshingly practical perspective, shaped by an unconventional career path spanning the Royal Navy, nearly twenty years at NetApp and more than seven years at UiPath. We talk about why Britain and Ireland remain a strategic region for global technology adoption, how London continues to play a central role for companies expanding into Europe, and why AI’s momentum in the region is very real despite the wider economic noise.
Much of our discussion focuses on why so many organizations are stuck in pilot mode. Simon explains how hype, fragmented experimentation and poor qualification of use cases often slow progress, while successful teams take a very different approach. He shares real examples of automation that is already delivering measurable results, from long-running public sector programs to newer agent-driven workflows now entering production after clear ROI validation.
We also investigate where the next wave of challenges will emerge. As agentic AI becomes easier for everyone to create, Simon draws a direct parallel to the early days of cloud computing and VM sprawl. Visibility, orchestration and cost control are becoming as important as innovation itself. Without them, organizations risk losing control over workflows, expenses and accountability as the number of agents within the company multiplies.
Looking ahead, Simon outlines why the success of AI will depend on ecosystems rather than individual platforms. Partnerships, vertical solutions and the ability to exchange technologies as the market evolves will determine how companies can scale responsibly. From automation in software testing to cross-functional demands from HR, finance and operations: this conversation captures what AI is doing today and where the real work still lies.
If you’re trying to separate AI momentum from AI noise, this episode provides a clear, experience-based view of what it takes to turn potential into progress. What would need to change within your organization to be able to move from pilots to production with confidence?
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