Agentic Compliance: What AI Should Automate and What Humans Must Still Decide
Qmulos, Monday, July 13th, 2026
AI should automate compliance evidence collection while humans retain judgment and interpretation of results.
The article distinguishes two compliance functions: evidence collection, which AI can automate through scanning and data correlation, and judgment or interpretation, which still requires human oversight.
It proposes an agentic model in which AI drafts assessments and humans verify them before submission, avoiding both inefficiency and regulatory exposure.
The piece emphasizes that every AI output is a draft, not a deliverable, and warns that organizations automating judgment increase risk while those automating evidence increase trust.
It also notes emerging regulatory requirements around AI governance, including NIST IR 8596 and FY2026 NDAA provisions directing DoD to develop AI and ML cybersecurity frameworks.