Human-in-the-Loop
AI agents advise. Humans decide.
The Philosophy
HUMΛN is built on the principle that AI should augment, not replace, human judgment. For high-stakes decisions — financial transactions, legal approvals, medical recommendations — humans must remain in control.
"Human-in-the-loop" isn't a feature — it's a core architectural principle. Every workflow can pause for human approval, and provenance tracks who approved what, when, and why.
How It Works
Agent Proposes Action
The agent analyzes data and recommends a decision (e.g., "Approve this $50k invoice payment").
Workflow Pauses
HumanOS pauses execution and notifies the designated approver (via email, Slack, or in-app notification).
Human Reviews
The human reviews the agent's recommendation, checks the data, and decides to approve or reject.
Workflow Continues or Stops
If approved, the workflow continues. If rejected, it stops (or escalates to another approver). All decisions are logged to the provenance ledger.
When to Use It
✅ Good Use Cases
- •Financial transactions over $X
- •Legal document signing
- •Medical treatment decisions
- •Hiring and termination
- •Sensitive data access
- •Policy changes
❌ Not Needed For
- •Data extraction (low risk)
- •Report generation
- •Routine notifications
- •Search & retrieval
- •Low-value transactions
- •Automated monitoring
Why It Matters
Accountability
When something goes wrong, you can trace it back to a specific approval. The provenance ledger shows exactly who made the decision and why.
Trust
Stakeholders (customers, regulators, auditors) trust systems more when they know humans are involved in critical decisions.
Compliance
Many regulated industries (finance, healthcare, legal) require human oversight for certain actions. Human-in-the-loop makes compliance easier.
Learn More
See how human-in-the-loop works in practice with real code examples.