06 — Team, Systems & AI Operator Layer

A practical layer for delegation, operating logs, SOPs, dashboards, approval gates, and AI assistants that produce action cards instead of noise.

Positioning: Turn the playbook into a working operating layer with owners, SOPs, and AI support.

Numbered path

1. Owner-to-Operator Handoff
   1. Assign One Owner per Recurring Problem — Give every recurring issue an owner, scoreboard, operating rhythm, and escalation path.
   2. Write SOPs That Actually Run — Create short SOPs with trigger, input, action, output, owner, verification, and exception handling.
   3. Install Approval Gates — Keep reorder, PPC scale, pricing, supplier commitment, and listing-risk decisions gated by owner approval.
2. AI Operator Console
   1. Brief the AI Inventory Assistant — Define source data, thresholds, ECAF/replenishment rules, stockout risks, and approval requirements before recommendations appear.
   2. Brief the AI PPC Assistant — Give the assistant margin rules, search-term logic, bid-change limits, inventory gates, and output format.
   3. Run the Operating Log and Action Queue — Capture decision, evidence, owner, status, risk if ignored, and verification date so work closes cleanly.

Outcomes

• A recurring-problem ownership map
• Short SOPs with verification steps
• AI assistant briefs with approval gates

Resource map

• Numbered source/resource index for this track.