AI & Innovation Radar

Application: Track which agent decisions were reviewed and how long exceptions wait for an owner.

Proposed integration: Control Tower + BPO + audit trail.

Risk: Few alerts can mean few problems — or a monitor that misses them.

Suggested experiment: Simulate 20 freight incidents with incomplete data and improper instructions. Measure detection, false alarms and review time.

Application: Separate Plan A/B generation from validation of rules, calculations and evidence.

Proposed integration: Recommendation Engine → deterministic verification → human approval.

Risk: A second agent may repeat the first agent’s error; agreement is not enough.

Suggested experiment: Use ten synthetic cases with human-validated expected answers: duplicate freight charges, inventory discrepancies and unauthorized rescheduling.

Application: Explore future support for cold-chain documentation.

Proposed integration: Knowledge + Risk/Compliance, initially read-only.

Risk: Specialized access does not replace Quality validation or authorize sharing corporate data.

Suggested experiment: Test public documents and fictional cases. Require sources and escalate to Quality when evidence is missing.