Agentic Work Management
Canonical Definition
Agentic Work Management is the application of work management principles to environments where organizational work is performed by both humans and AI agents.
As organizations adopt AI agents, work must still be clarified, coordinated, and completed effectively. Agentic Work Management focuses on ensuring that all organizational work—regardless of whether it is performed by a human, an AI agent, or a combination of both—is managed in a predictable, effective, and accountable manner.
The goal of Agentic Work Management is not simply to automate work, but to create systems that enable humans and AI agents to contribute to shared organizational outcomes.
Agentic Work Management and the Discipline of Work Management
The Work Management Institute defines Work Management as:
The discipline of clarifying, coordinating, and completing all organizational work in a predictable, effective, and sustainable manner.
Agentic Work Management extends this discipline into environments where AI agents actively participate in work execution.
While the participants performing work may change, the fundamental challenge remains the same:
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Work must be clarified.
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Work must be coordinated.
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Work must be completed.
The presence of AI agents does not eliminate the need for work management. In many cases, it increases its importance.
The Three Responsibilities of Agentic Work Management
Clarifying Work
Before work can be performed by humans or AI agents, it must be clearly defined.
This includes:
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Desired outcomes
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Scope
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Requirements
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Ownership
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Priorities
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Decision authority
Without clarity, both humans and AI agents operate with incomplete context.
Coordinating Work
Agentic environments introduce new coordination challenges.
Work may move between:
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Human workers
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AI agents
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Teams
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Systems
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Departments
Agentic Work Management ensures that work flows effectively between participants while maintaining visibility, accountability, and alignment.
Completing Work
The objective of work management is not activity. It is completion.
Organizations must ensure that work reaches successful outcomes regardless of who or what performs individual tasks.
Completion requires:
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Monitoring progress
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Managing dependencies
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Resolving exceptions
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Escalating decisions
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Verifying outcomes
Collaboration in Agentic Work Management
At the Work Management Institute, collaboration is viewed as the enabling force behind effective work management.
In agentic environments, work is no longer performed exclusively by humans. Instead, organizational outcomes increasingly depend on collaboration between human workers and AI agents.
This collaboration may take many forms:
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Humans assigning work to AI agents
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AI agents providing recommendations to humans
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AI agents escalating exceptions for human review
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Humans validating AI-generated outputs
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Multiple humans and AI agents contributing to the same workflow
Effective Agentic Work Management recognizes that neither humans nor AI agents operate in isolation. Work is accomplished through a collaborative system in which participants share information, provide context, coordinate actions, and contribute toward common objectives.
The responsibility of both humans and AI agents is not simply to execute tasks. It is to collaborate in ways that help ensure work is clarified, coordinated, and completed successfully.
As organizations adopt more AI agents, the quality of collaboration between humans and agents may become one of the most important determinants of organizational performance.
Human-Agent Work Management
Human-Agent Work Management is a form of Agentic Work Management focused specifically on collaboration between humans and AI agents.
Examples include:
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AI agents preparing project plans for human review
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AI agents monitoring workflows and escalating exceptions
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Human managers assigning work to AI agents
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AI agents coordinating routine operational activities
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Human and AI participants contributing to the same workflow
As these environments become more common, organizations require new approaches to ownership, visibility, governance, and accountability.
Agentic Work Management vs. AI Automation
These concepts are often confused.
AI Automation
Focuses on automating individual tasks.
Question:
Can this task be automated?
Agentic Work Management
Focuses on managing organizational work across humans and AI agents.
Question:
How should work be clarified, coordinated, and completed across humans and AI?
Automation is a capability.
Agentic Work Management is a management discipline.
Why Agentic Work Management Matters
Many organizations are discovering that AI capability alone does not guarantee organizational performance.
As AI agents become more capable, the limiting factor increasingly becomes the organization's ability to:
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Clarify work
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Coordinate work
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Complete work
Organizations that develop strong Agentic Work Management capabilities will be better positioned to realize value from both human talent and artificial intelligence.
The Future of Organizational Work
The future of work is unlikely to be entirely human or entirely autonomous.
Instead, organizations will increasingly operate through human-agent teams where people and AI agents contribute to shared outcomes.
In this environment, success will depend not only on the intelligence of the participants but on the effectiveness of the systems used to clarify, coordinate, and complete work.
Agentic Work Management provides the discipline for doing exactly that.
Stewardship by the Work Management Institute™
The Work Management Institute™ (WMI™):
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Defines standards for Work Management
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Publishes guidance within the Work Management Body of Knowledge (WMBOK™)
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Develops certification pathways
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Advances research and applied frameworks
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Promotes tool-agnostic best practices
WMI™ serves as the standards body advancing the legitimacy and clarity of Work Management as a professional discipline.
Closing Positioning Statement
As organizations increasingly integrate AI agents into daily operations, the nature of work is evolving. However, the fundamental challenge remains unchanged: work must still be clarified, coordinated, and completed in order to produce meaningful outcomes.
Agentic Work Management recognizes that organizational work is no longer performed solely by humans. Instead, work is increasingly carried out through collaboration between human workers and AI agents operating within shared systems, workflows, and objectives.
The success of these human-agent environments will depend not only on the capabilities of AI, but on the effectiveness of the systems used to manage work. Organizations that establish clear ownership, effective coordination, strong collaboration, and reliable completion mechanisms will be better positioned to realize the full value of both human and artificial intelligence.
Ultimately, Agentic Work Management is not about replacing people with AI. It is about creating collaborative systems where humans and agents work together to clarify, coordinate, and complete organizational work more effectively.
At the Work Management Institute (WMI), Agentic Work Management is viewed as an emerging application of the broader discipline of Work Management—the discipline of clarifying, coordinating, and completing all organizational work in a predictable, effective, and sustainable manner.
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