In this article
Operational friction is the hidden cost slowing enterprise execution
Most organizations are not held back by a lack of technology — they are held back by how work moves through their systems. Fragmented information, approval bottlenecks, and disconnected workflows force knowledge workers to spend sixty percent of their time on coordination rather than core work. Research from Deloitte shows that access to AI tools has expanded significantly, yet most organizations have not redesigned workflows or operating models to capture that value. Sustainable competitive advantage now belongs to organizations that combine technology investment with operational discipline.
Operational friction — not technology gaps — is the primary obstacle to enterprise speed. Approval loops, fragmented systems, and manual workflows compound into significant execution costs.
Knowledge workers spend sixty percent of their time on coordination and information-searching rather than performing core work. Source: Asana.
Technology investment alone cannot overcome broken processes. Eighty-four percent of organizations have not redesigned jobs or workflows despite expanded access to AI tools. Source: Deloitte.
The organizations that remove operational friction gain a durable competitive advantage by enabling faster, more confident decision-making across the enterprise.
Sustainable productivity improvement requires connected systems, clear ownership, and measurable workflows — not simply additional technology.
Knowledge workers spend sixty percent of their time tracking progress, searching for information, switching applications, and coordinating with colleagues. Source: Asana
Worker access to AI tools expanded by fifty percent in a single year, far outpacing workflow and job redesign across enterprise organizations. Source: Deloitte
Fewer than sixty percent of workers with AI tool access use them in their daily workflow, revealing a persistent adoption gap. Source: Deloitte
Eighty-four percent of organizations have not redesigned jobs or workflows to capture the value of emerging AI capabilities. Source: Deloitte
The accumulating cost of operational friction
Operational friction rarely appears as a single, visible problem. It emerges through the small delays that gradually reduce an organization's ability to execute: approval loops, fragmented communication, and employees searching across multiple systems for information. Individually, these inefficiencies may appear insignificant. Collectively, they create substantial costs.
Asana's research on 'work about work' found that knowledge workers spend sixty percent of their time on activities such as tracking progress, searching for information, switching between applications, and coordinating with colleagues — rather than performing the work itself. Gartner similarly found that approval bottlenecks remain a major obstacle to operational speed, with repeated reviews and approval cycles continuing to delay implementation across enterprise environments.
The gap between technology access and business impact
Many organizations have invested heavily in AI, automation, and cloud platforms expecting new technology will naturally improve productivity. However, technology alone cannot overcome inefficient processes or unclear operational structures.
According to Deloitte, worker access to AI tools expanded by fifty percent in a single year — yet fewer than sixty percent of workers with access actually use AI in their daily workflow, and eighty-four percent of organizations have not redesigned jobs or workflows. Organizations need clear decision rights, accountability structures, and redesigned operating models to capture the full value of emerging technologies. Without these foundations, new technology adds complexity rather than reduces it. The same principle applies beyond AI: automation cannot fix inconsistent processes, and cloud platforms cannot resolve disconnected workflows.
Three interconnected bottlenecks slowing enterprise execution
Operational slowdowns typically result from three compounding bottlenecks. Manual workflows — processes dependent on spreadsheets, email approvals, or repeated data entry — increase error rates and make performance measurement difficult. Information fragmentation forces employees to spend more time searching for documentation than applying it, as operational data spreads across disconnected systems. Approval bottlenecks occur when decisions require multiple reviews or lack clear ownership, eliminating an organization's ability to respond quickly to changing priorities.
These challenges are interconnected. Disconnected systems create visibility problems that slow decisions, which increases operational costs and execution risk.
Technology is an operational production system, not a collection of disconnected software products
The critical work is identifying where execution slows down and building systems that improve visibility and decision-making. This requires more than implementing new tools. Organizations need modern backend systems, connected workflows, clear ownership, and operational metrics that demonstrate whether improvements are creating real business value. AI and automation can strengthen these capabilities — but only when integrated into defined processes with reliable data and measurable objectives. The organizations that gain the greatest advantage will be those that combine technology with operational discipline.
Research basis
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