Governance
Governance and Human-in-the-Loop for AI Processes
When AI analyzes, models, or executes processes, organizations need clear governance: who approves what? Which drafts are binding? How are agent decisions traced?
Human-in-the-loop (HITL)
AI outputs are drafts until approved: measures, to-be processes, agent actions. HITL is not a brake but quality assurance—especially in regulated processes (finance, healthcare, HR).
Framed autonomy
Agents receive explicit frames: allowed actions, data sources, escalation paths. Agentic BPM research (2026) emphasizes framing as the bridge between autonomy and organizational control.
GDPR and traceability
Documented process models, versioning of as-is/to-be, and logged approvals support GDPR Art. 5/24 requirements. AI providers should not use customer data for model training—verify contract and configuration.
FAQ
- Who should approve process changes?
- Typically: business process owner plus IT/compliance when systems or agents are integrated. Four-eyes principle for critical processes.
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Updated: 2026-06-29