..AI proposes, human disposes… and teaches the AI along the way...
Human In The Loop (HITL) 'does exactly what it says on the tin':
A human is intentionally kept in the decision-making loop of an AI system. Not just watching. Not just auditing later. Actually participating at key moments. Before any important decisions or executions in a release tool a senior release manager gets an alert to have a look at what the AI agent is about to recommend or do. This certainly means that these approval points are execution gates for the AI that it cannot circumvent or override by design.
The AI suggests actions:
“Delay release due to high regression risk”
“Proceed, risk acceptable”
A human (release manager like you) reviews and:
approves
overrides
asks for more analysis
AND the AI learns from this over time.
AI is great at patterns… but reality loves surprises.
When something unusual happens:
conflicting test results
unknown dependency failure
business-critical override needed
The AI escalates to a human instead of guessing.
Every human decision becomes fuel:
Why did you override?
What risk did AI miss?
What mattered from a business perspective?
The AI gradually becomes a better “junior release manager”
Without HITL:
AI might optimize for the wrong goal (e.g., speed over safety)
It may miss business nuance
Trust from stakeholders drops fast
With HITL:
You keep control
AI accelerates your thinking
Risk of losing money and time is reduced, not outsourced