Skip to content

A model for human governance of AI systems.

Human-in-the-Loop is no longer one thing.

As AI systems move from drafting outputs to taking actions, organisations need clearer language for review, monitoring and accountability.

The problem

"Human-in-the-Loop" is one of the most repeated phrases in AI governance.

The problem is that people often use it to mean different things.

Sometimes it means a human reviews every output.

Sometimes it means a human monitors the system.

Sometimes it means a human designed the process and remains accountable for the outcome.

Those are not the same governance model.

Loop names three patterns: Human-in-the-Loop (review each output), Human-on-the-Loop (monitor the system), and Human-Accountable-for-the-Loop, HAL (own the system and its outcomes). Each asks a different question and fits a different class of workflow.

The key distinction

Human-in-the-Loop asks:
Did a human review the decision?
Human-on-the-Loop asks:
Is a human monitoring the system?
Human-Accountable-for-the-Loop asks:
Who owns the system that made the decision?

When each model fits

Match governance to the workflow

Workflow type Recommended model
Drafting a memo Human-in-the-Loop
Summarising a contract Human-in-the-Loop
Monitoring regulatory updates Human-on-the-Loop
Screening incoming matters Human-on-the-Loop or HAL
Drafting a client communication Human-in-the-Loop
Routing client requests HAL
Updating matter records HAL
Triggering external communications HAL with approval gates or strict controls
Filing regulatory documents HAL only with high score and approval gates

Use the decision tree to identify your model →

When review does not scale

HAL is the framework for the third model

Human-Accountable-for-the-Loop requires more than a named owner. HAL provides the detailed guidance, scoring system, worked examples and calculator for workflows where individual review does not scale.

Accountability cannot be delegated. Execution can.

Which model fits your workflow?

Start with the Loop model to identify the right pattern. If your workflow involves action, autonomy, scale or accountability risk, take the HAL assessment.