Enterprise AI Failures Stem From Operating Models

India, June 25, 2026 - In an article published on Forbes Tech Council, Xoriant's Chief Executive Officer, Rohit Kedia, challenges an assumption that most technology leaders make when AI underperforms that the model is the problem.

Citing BCG's finding that only 5% of enterprises generate substantial AI value while 60% produce none, Kedia locates the failure in three structural gaps, data infrastructure built for reporting rather than AI consumption, workflows that layer AI on top of existing processes instead of redesigning around it, and an absence of clear ownership once a model reaches production.

He introduces "workslop" to describe AI outputs that look polished but deliver no business impact, and positions Agent Ops as the accountability discipline that separates organisations compounding their AI investment from those quietly abandoning it.

Kedia positions Agent Ops as the connective discipline that separates organisations compounding their AI investment from those quietly abandoning it and the critical bridge between pilot and payback.

"The question is not whether your organisation is using AI. The question is whether the system beneath your AI strategy was built for a probabilistic world, or whether you are still blaming the models for a failure that was never theirs to own."

Read the full article on Forbes.