Prevented violations
Example: 0 events
Vertical Pilot
ATF Pilot for E-Commerce & AI-Driven Checkout
A concrete pilot format for teams deploying AI-driven checkout decisions, with measurable KPI framing and deterministic policy enforcement.
Pilot Metrics (example format)
Avg decision latency
Example: 0.00ms
Deterministic receipt coverage
Example: 0.0%
Problem
AI agents optimizing checkout can trigger unintended edge-case behavior.
Mispriced discounts can escalate quickly when promotional logic is over-applied.
Automated refunds and credits can exceed approved exposure limits.
Abuse vectors can compound when policy checks are absent at execution time.
What ATF Enforces
Discount cap invariants
Refund exposure caps
Time-bound promotion TTL
SKU allowlists
Measurable KPIs
KPI outputs are pilot-measured. No performance claims are implied before live pilot data.
Prevented loss events
Conversion lift (if policy relaxed safely)
Average decision latency
Policy violation rate
Pilot Structure (30-60 days)
Sandbox integration
Custom policy template
Weekly receipt report
End-of-pilot summary