Enterprises are moving beyond the first phase of AI adoption, where success was often measured by pilots, proof of concepts, copilots, and the number of AI tools deployed. The bigger question now is whether AI is fundamentally changing how work gets done and delivering measurable outcomes across the enterprise.

In this WION industry story, Sri Mookiah, Founder & CEO of LOWCODEMINDS, joins other industry leaders in sharing perspectives on the shift from AI experimentation to AI execution. Sri highlights why this transition brings Knowledge Work Automation into focus. While traditional automation was largely built around predictable, rules-based tasks, much of enterprise work still depends on people reading documents and emails, gathering information across systems, applying experience, and deciding what should happen next. AI is now creating the opportunity to automate much more of this knowledge-intensive work.

“The real shift will happen when enterprises stop measuring AI adoption by the number of tools deployed and start measuring how much work is actually being executed better because of AI.”

Sri also explains why simply adding an AI agent on top of an existing process is not enough. Enterprises need to examine the process itself, the data and context behind it, where decisions are being made, and where human judgment is genuinely required. This shift is already becoming relevant across functions such as Finance, Legal, Procurement, and Operations.

As enterprises move from experimenting with AI to putting it to work, the focus will increasingly shift from how many AI tools have been deployed to whether AI is actually improving how work is executed.

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