first safe pilot
Logistics exception report draft with source references and review owner.
Keep the first workflow at draft or review-support level before any real-world use.
aequai ~ / industries / handbook 09
$ aequai handbook --priority 09 --full-content
Logistics / Supply Chain AI Adoption Handbook
Exception summaries, warehouse handoffs, supplier requests, and customer update drafts with event logs.
priority 09readiness mapfictional/synthetic samples onlyhuman approval required
// boundary: This handbook is local review copy for readiness, training, workflow design, and evidence mapping. It is not sector authority, professional advice, public approval, regulated conclusion, production authority, autonomous operation, token/chain/network action, carbon-asset action, or customer proof.
$ aequai quick-map --pilot --path --no-go
Safe first step.
service path
AI Workflow Simulation Lab -> AI Literacy Training
Use diagnostics, training, pilot design, governance, or simulation according to the workflow risk.
training path
Operations, warehouse, procurement, and support paths.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: logistics-supply-chain-ai-adoption-handbook-v0.1.md. Source title: Logistics / Supply Chain AI Adoption Handbook v0.1.
$ aequai handbook-source --sections all
Full handbook content.
The sections below expose the actual handbook material: business context, workflows, first safe workflows, map, boundaries, simulation example, checklist, fictional/synthetic sample teaser, recommended AequAI path, 30/60/90 roadmap, and public-safe no-go wording.
[01]Business Contextsource-backed handbook section+ open- close
Logistics, warehousing, freight, delivery, inventory, and procurement teams need clear exception summaries, supplier handoffs, shift notes, evidence logs, and customer update drafts. AI can organize events, but customer commitments and system changes need review.
Every training path is personalized to the person, team, role, workflow, tool stack, risk profile, business context, workflow maturity, data boundaries, and approval responsibilities.
[02]Typical Workflowssource-backed handbook section+ open- close
Shipment exceptions, inventory notes, carrier updates, warehouse SOPs, customer update drafts, procurement requests, and event logs.
[03]First 5 Safe Workflowssource-backed handbook section+ open- close
- +Logistics exception report draft.
- +Warehouse shift brief.
- +Supplier evidence request.
- +Customer update draft.
- +SOP draft for exception handling.
[04]Function Mapsource-backed handbook section+ open- close
| Function | Opportunity | Training Need | Gate |
|---|---|---|---|
| Operations | Exception summary | Event logging | Ops owner review |
| Warehouse | Shift brief and SOP | Workflow practice | Manager review |
| Procurement | Supplier request | Evidence boundaries | Procurement review |
| Support | Customer update draft | Customer data boundaries | Owner review before send |
[05]Boundariessource-backed handbook section+ open- close
Do not delegate carrier/customer commitments, customs conclusions, safety decisions, contract changes, pricing, or system updates. Keep shipment/customer data restricted.
[06]Simulation Examplesource-backed handbook section+ open- close
Synthetic scenario: a shipment delay is summarized into an exception report with event log fields, source refs, review owner, and send/no-send decision.
[07]Diagnostic Checklistsource-backed handbook section+ open- close
- +Which exceptions repeat?
- +Which events are logged?
- +Which customer data is restricted?
- +Who approves customer updates?
- +Which workflow could be simulated first?
[08]Fictional/Synthetic Sample Report Teasersource-backed handbook section+ open- close
Fictional/synthetic sample: "Logistics Exception Summary Simulation." Shows event logs, review gates, and a proceed/shrink/park/kill decision. It is not customer proof.
[09]Recommended AequAI Pathsource-backed handbook section+ open- close
AI Workflow Simulation Lab -> AI Literacy Training for ops/support roles -> DPP Readiness Review for supplier evidence flows where relevant.
[10]30/60/90-Day Roadmapsource-backed handbook section+ open- close
30 days: exception summary workflow. 60 days: event log and customer update gate. 90 days: simulation of exception handling.
[11]Public-Safe Wording Notessource-backed handbook section+ open- close
Use exception summary, event log, review gate, and supplier evidence preparation language.
$ aequai next --map-business
Use the handbook as a starting map.
Start with one workflow, one review owner, one data boundary, and one evidence log. Expand only after a reviewed pilot shows what to proceed with, shrink, park, or stop.