Enterprise AI set to move from trials to execution

AS ENTERPRISES HEAD into the new year, artificial intelligence is expected to move out of its experimental phase into a more measured, executionheavy cycle.

- POULOMI CHATTERJEE

After inflated expectations around agentic AI and autonomous workflows in 2025,companies would recalibrate around cost, security, governance and returns. Experts FE spoke to said that this year is likely to be defined less by radical breakthroughs and more by how organisations industrialise AI at scale without destabilising core operations.

Agentic AI likely to slow down

The promise of multi-agent systems replacing human-led workflows has collided with practical realities. Deployments have proved expensive, disruptive and fraught with security risks, particularly in regulated sectors such as banking and healthcare. Autonomous agents can expose enterprises to data leakage, corruption and deletion, while prompt injection attacks on AI browsers and workflows have added to risk concerns. As a result, enterprises are expected to prioritise agent observability over rapid rollout, focusing on monitoring execution, detecting threats and tracking data flows.

Focus to shift on governance