When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks

2026-02-20

AI Summary

This work proposes a task classification method grounded in the monotonicity theory of distributed systems to determine whether coordination is necessary for task correctness, thereby reducing unnecessary coordination overhead in organizations. It establishes, for the first time, a formal correspondence between classical organizational interdependence typologies and monotonicity criteria, yielding decision rules for assessing coordination necessity and quantifying the avoidable “coordination tax.” Through multi-agent simulations, task analyses, and large-scale empirical evaluations of 13,417 occupational tasks from the O*NET database and 65 enterprise workflows, the study finds that 42% of occupational tasks and 74% of workflows are monotonic, indicating that 24%–57% of current coordination expenditures are redundant for ensuring correctness.

Technology Category

• Multiagent Systems: Coordination and Collaboration
• Game Theory and Economic Paradigms: Coordination and Collaboration
• Knowledge Representation and Reasoning: Nonmonotonic Reasoning

Application Category

• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems
• User Modeling, Personalization and Recommendation: Studies of user behavior, including longitudinal effects of personalized systems
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Organizations devote substantial resources to coordination, yet which tasks actually require it for correctness remains unclear. The problem is acute in multi-agent AI systems, where coordination overhead is directly measurable and routinely exceeds the cost of the work itself. However, distributed systems theory provides a precise answer: coordination is necessary if and only if a task is non-monotonic, meaning new information can invalidate prior conclusions. Here we show that a classic taxonomy of organizational interdependence maps onto the monotonicity criterion, yielding a decision rule and a measure of avoidable overhead (the Coordination Tax). Multi-agent simulations confirm both predictions. We classify 65 enterprise workflows and find that 48 (74%) are monotonic, then replicate on 13,417 occupational tasks from the O*NET database (42% monotonic). These classification rates imply that 24-57% of coordination spending is unnecessary for correctness.

Problem

• coordination
• monotonicity
• organizational tasks
• multi-agent systems
• coordination overhead

Innovation

• monotonicity
• coordination overhead
• multi-agent systems
• organizational tasks
• Coordination Tax