Understanding how Decisio balances AI automation with human oversight, and how to configure approval workflows that match your risk tolerance.
AI should augment human decision-making, not replace it. Decisio is designed with human oversight as a core principle:
Decisions are routed based on configurable policies that consider confidence, impact, and category:
Decision executes automatically without human review
TYPICAL CRITERIA
Use case: Small price adjustments, routine reorders
Decision appears in approval queue for team review
TYPICAL CRITERIA
Use case: Most pricing and inventory decisions
Escalated to manager with additional context
TYPICAL CRITERIA
Use case: Large orders, major price changes
Decision flagged as high-risk, requires investigation
TYPICAL CRITERIA
Use case: Unusual patterns, policy conflicts
Approval policies are configured in Settings → Approval Workflows. You can create rules based on:
Set monetary thresholds for automatic approval:
Route decisions based on AI confidence:
Apply different policies to different product or decision categories:
Decisions requiring review appear in the Approval Queue with:
For each decision in the queue, you can:
Every action you take teaches the AI:
Over time, the AI learns your preferences and the approval queue becomes more accurate and requires less manual intervention.
Every decision is logged with:
This audit trail is essential for compliance, performance review, and understanding decision patterns over time.