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Human-AI Operating Model Canvas

A structured template for defining human roles, agent roles, handoffs, approvals, escalation paths, and accountability in mixed workflows.

Team mapping human and AI roles across a workflow.

What this template is for

The Human-AI Operating Model Canvas helps teams design workflows where humans and AI systems both play active roles.

It is especially useful when organizations are moving beyond assistant-style tooling and need to define what AI owns, what humans approve, how work is handed off, and where escalation happens.

Who should use it

  • Leaders redesigning a workflow around AI support or agent-led execution.
  • Product and operations teams defining service flow.
  • Governance and risk stakeholders reviewing approval boundaries.
  • Transformation teams designing future-state operating models.

What’s inside the template

  • Human roles and responsibilities.
  • Agent or AI system roles and permissions.
  • Workflow stages and handoff points.
  • Approval thresholds and exception paths.
  • Escalation and fallback rules.
  • Accountability assignments for outcomes and failures.

How to use it

  1. Pick one concrete workflow, not a broad enterprise abstraction.
  2. Map the major actors first, then the handoffs between them.
  3. Define where AI can act independently and where human approval is mandatory.
  4. Capture the escalation path for ambiguity, failure, or policy breach.
  5. Use the finished template to inform process design and governance review.

When to use it

  • When AI will participate directly in workflow execution or coordination.
  • When approval boundaries are unclear.
  • When human accountability must remain explicit even as automation expands.

When not to use it

  • When the work is only a personal productivity tool with no shared operational role.
  • When the target workflow has not yet been defined.
  • When the organization is still debating whether AI should be introduced at all.

Expected business outcome

The template improves execution clarity. It reduces confusion about handoffs, lowers the risk of hidden accountability gaps, and creates a more realistic operating design for mixed human-AI work.

PDF version

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Common workshop questions

  • Which decisions stay human?
  • What actions can AI take without approval?
  • Where do exceptions go when the workflow breaks?

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Human-AI Operating Model Canvas

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Questions readers usually ask

What does the template clarify?

It clarifies who does what in a workflow where both humans and AI systems participate, including handoffs, approvals, and escalation boundaries.

Is this the same as an org chart?

No. It focuses on operational flow and accountability in a specific workflow, not on hierarchical reporting structure.

Why is this important?

Many AI programs fail because human and agent responsibilities stay ambiguous even when the technology works.