AI Autonomy & Governance Standard
Deploying enterprise AI requires strict governance. The SCALE framework provides a standardized operational model to transition from human-in-the-loop validation to end-to-end catalog autonomy without black-box risk.
01
Suggest
02
Confirm
03
Act with Escalation
04
Low-Touch Autonomy
05
End-to-End Autonomy
The 5 Levels of Workflow Autonomy
Govern how autonomous agents interact with your canonical catalog data at every operational stage:
Autonomy Level
Operating Model
System Behavior
Human Role
Enterprise Application
Level 1: Suggest
Recommendation Engine
Agent generates attribute candidates & copy options.
Operator manually verifies and executes every action.
Strategic positioning, initial category expansion.
Level 2: Confirm
Human-in-the-Loop Approval
Agent drafts complete listings, variants, or media.
Operator clicks to approve before publishing.
High-visibility campaign assets, new brand launches.
Level 3: Act with Escalation
Exception-Based Automation
Agent executes routine tasks automatically, flagging anomalies.
Operator reviews low-confidence edge cases only.
Bulk attribute enrichment, GDSN data sync.
Level 4: Low-Touch Autonomy
Policy-Governed Execution
Agent processes SKUs independently; escalates policy breaches.
Operator manages global policy parameters and audits.
Upstream supplier ingestion, image compliance.
Level 5: End-to-End Autonomy
Closed-Loop Optimization
Agent manages complete lifecycle with real-time tuning.
Operator receives periodic executive P&L reports.
Real-time title, price, and media optimization.