Structural friction, not intelligence, is holding back agentic AI

An opinion in CIO argues that agentic AI often falls short because enterprises rely on disconnected systems and workflows, creating a ‘friction tax’ that undermines productivity unless an integrated architecture of flow is adopted.
Agentic AI, friction tax, enterprise architecture, architecture of flow, unified context, AI orchestration, CIO strategy, digital transformation

CIO leadership commentary highlights that many organisations investing in agentic AI, autonomous AI agents designed to execute complex, multi-step tasks, encounter disappointing results when deployments focus solely on outcomes like speed or cost savings without addressing underlying system design challenges.

The so-called ‘friction tax’ arises from siloed data, disjointed workflows and tools that force employees to act as manual connectors between systems, negating much of the theoretical efficiency AI promises.

The author proposes an ‘architecture of flow’ as a solution, in which context is unified across systems and AI agents operate on shared data and protocols, enabling work to move seamlessly between functions without bottlenecks.

This approach prioritises employee experience and customer value, enabling context-rich automation that reduces repetitive work and improves user satisfaction.

Key elements of such an architecture include universal context layers (e.g. standard protocols for data sharing) and agentic orchestration mechanisms that help specialised AI agents communicate and coordinate tasks across complex workflows.

When implemented effectively, this reduces cognitive load, strengthens adoption, and makes business growth a natural result of friction-free operations.

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