What Changes When AI Moves from Advice to Action in Enterprises

For most large organisations, artificial intelligence (AI) has so far remained in an advisory role. Up until now, AI systems have been summarising documents, offering up insights and supporting decision-making. But the final step, that of acting on those insights, has been the job of users. In 2026, as AI moves from advice to action, that is starting to change in a big way.

And as enterprises experiment with agentic AI systems that can initiate workflows, move data, and trigger transactions, several new questions seem to emerge. Questions like whether organisations are ready to let “software” trigger decisions inside business processes that were initially designed around human judgement.

According to USEReady Co-founder and CEO Uday Hegde, this shift is more disruptive than most people realise. “Agentic AI is a critical step as we go driverless in several human-led processes that we are accustomed to today,” he says noting that most enterprise systems were never designed for this kind of autonomy.

Legacy Systems Weren’t Built for AI Agents

One of the biggest bottlenecks in deploying agentic AI is not the AI itself. It is the way enterprise systems have been designed.

Most legacy platforms assume that a human will always be in the loop. There are screens for data entry, manual checks, and hand-offs across teams. Agentic systems break that assumption.

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