Continuous Learning Feeds Back
Outcomes refine future behavior: Approval trends Risk escalations Policy changes Organizational patterns Governance improves continuously without manual tuning.
Outcomes refine future behavior: Approval trends Risk escalations Policy changes Organizational patterns Governance improves continuously without manual tuning.
Once confirmed, Anugal coordinates: Multi-system provisioning or revocation SAP and non-SAP execution paths Dependency handling and rollback control End-to-end logging and evidence capture Execution is controlled, not fragmented.
Approvers and reviewers: Retain full authority See policy, risk, and peer context Understand implications before acting No automated decisions bypass governance.
Agents propose actions such as: Approve, deny, or modify access Revoke unused or excessive permissions Escalate based on risk or impact Prioritize review focus Each recommendation includes clear reasoning, not opaque scoring.
Signals are correlated to build meaning: What access enables in business terms How roles interact (especially in SAP) What “normal” looks like for peers Where policy or risk thresholds apply This replaces raw data with decision-ready context.
Agents observe real-time inputs such as: Workforce lifecycle changes Access assignments and removals Approval actions and overrides Usage patterns and dormancy SoD conflicts and risk indicators No action is taken yet only observation.