Rethinking Operating Models for The Human and Agentic AI Workforce

Agentic AI, otherwise known as autonomous digital actors capable of evaluating, deciding, and executing the inputted commands has moved from an experimental concept that was talked about over dinner to a reality that is hard to escape. This shift isn’t about enhancing how work is done, rather it is redefining who (or what) performs it, how decisions are made, and how value is ultimately created.

At its core, this is an economic shift. The cost of intelligence is collapsing, meaning decisions and actions can be carried out at almost no incremental cost. Yet most operating models are still built for a world where human judgement is limited and expensive. This assumption no longer holds, and this is where the tension sits.

Most organisations are not constrained by access to AI. They are constrained by their ability to operationalise it.

Read more here: RETHINKING OPERATING MODELS FOR THE HUMAN

Author Details

Hemang Patel

Hemang Patel leads work with global enterprises on redesigning operating models for the age of agentic AI, helping organisations transition from human led execution to scalable human–machine co execution. As Head of Digital Operations & Service Management (EMEA) within Technology Transformation, he operates at the intersection of operating model design, governance, and AI driven execution, supporting senior leaders in converting technological capability into measurable enterprise performance. His work centres on the structural challenges of integrating autonomous systems into the enterprise - particularly decision rights, ownership models and emerging approaches to digital workplace design with a consistent focus on enabling organisations to operate at machine speed without losing human judgement.

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