Order execution risk

Current pain

An order looks on track in ERP while a drawing approval, missing material or supplier confirmation quietly puts shipment at risk.

Business impact

Late shipment can delay invoicing, trigger expedite costs and weaken customer confidence. Order value is exposure, not a saving.

Redesigned Human + AI workflow

1. AI assembles order, engineering, material and shipment evidence with source dates.
2. AI flags dependencies and missing evidence, then prepares recovery options.
3. Engineering and procurement validate feasibility. The order owner approves the action and any changed promise.
4. The team tracks execution. Finance separates observed shipment performance from attributable financial value.

Change and adoption

Replace parallel chase lists with one exception review. Name an order owner, agree escalation windows and coach teams to challenge weak evidence. Keep design releases, supplier commitments and customer promises under human approval.

Systems and data

ERP order lines and promised dates; PLM drawing/BOM revisions; purchase orders and supplier confirmations; inventory; production, quality and logistics milestones. Join by order, item, revision and supplier IDs. Show freshness and missing links.

KPIs with clear definitions

• On-time shipment = orders shipped by the original committed date / orders due in the period.
• Risk lead time = time between a validated risk alert and the committed shipment date.
• Expedite cost per order = actual expedite charges / shipped orders.
• Adoption = eligible exceptions reviewed within the agreed window / eligible exceptions.

Measurable outcomes and verification

Compare a scoped order cohort with a matched baseline, controlling for order complexity and mix. Track on-time shipment, invoice timing and actual expedite cost. Finance signs off any avoided-cost attribution after shipment. Set targets after measuring the baseline.