first safe pilot
Supplier evidence request pack and product data field map.
Keep the first workflow at draft or review-support level before any real-world use.
aequai ~ / industries / handbook 02
$ aequai handbook --priority 02 --full-content
Manufacturer / Exporter AI Evidence Handbook
Evidence-readiness workflows for product data, supplier documents, field maps, and reviewed request packs.
priority 02readiness 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
DPP Readiness Review -> AI Workflow Simulation Lab
Use diagnostics, training, pilot design, governance, or simulation according to the workflow risk.
training path
Product, procurement, export/admin, and evidence-readiness roles.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: manufacturer-exporter-ai-evidence-handbook-v0.1.md. Source title: Manufacturer / Exporter AI Evidence 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
Manufacturers and exporters often have product facts, supplier evidence, process records, and sustainability-related fields spread across files, emails, spreadsheets, and vendor portals. AI can help structure evidence, but it must not turn gaps into public claims or formal conclusions.
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
Product data, supplier document requests, product category mapping, SOPs, export checklists, quality notes, procurement comparisons, and evidence-gap reviews.
[03]First 5 Safe Workflowssource-backed handbook section+ open- close
- +Supplier evidence request pack.
- +Product data field map.
- +Evidence gap checklist.
- +SOP draft for evidence updates.
- +Export-readiness question pack for advisor/implementation review.
[04]Department / Function Mapsource-backed handbook section+ open- close
| Function | Opportunity | Training Need | Gate |
|---|---|---|---|
| Product | Data field map | Evidence source discipline | Product owner review |
| Procurement | Supplier evidence request | Supplier communication boundaries | Procurement review |
| Operations | SOP drafts | Process mapping | Ops owner review |
| Sustainability/reporting | Evidence organization | Claim-safety review | Owner/advisor review |
| Export/admin | Question packs | Boundary and source review | Advisor/owner review |
[05]Boundariessource-backed handbook section+ open- close
Do not claim DPP operation, sustainability approval, carbon-asset action, supplier acceptance, CBAM conclusion, or regulated status. Keep private supplier files and customer records out of training material unless approved.
[06]Simulation Examplesource-backed handbook section+ open- close
Synthetic scenario: AI drafts a supplier evidence request from a product field map, flags missing owner fields, and logs source references. Procurement reviews before any supplier message.
[07]Diagnostic Checklistsource-backed handbook section+ open- close
- +Which product categories are in scope?
- +Which supplier evidence fields exist?
- +Which fields are missing?
- +Which claims could be made if evidence is weak?
- +Which advisor or implementation partner questions must be prepared?
[08]Fictional/Synthetic Sample Report Teasersource-backed handbook section+ open- close
Fictional/synthetic sample: "Manufacturer Supplier Evidence Readiness Map." Shows product data fields, supplier gaps, and a proceed/shrink/park/kill decision. It is not customer evidence or external validation.
[09]Recommended AequAI Pathsource-backed handbook section+ open- close
DPP Readiness Review -> AI Workflow Simulation Lab -> AI Literacy Training for product/procurement roles -> AI Governance Starter Kit if multiple teams participate.
[10]30/60/90-Day Roadmapsource-backed handbook section+ open- close
30 days: product and supplier evidence inventory. 60 days: supplier request pack and review gates. 90 days: simulation of evidence update workflow.
[11]Public-Safe Wording Notessource-backed handbook section+ open- close
Use evidence-readiness, supplier evidence preparation, advisor questions, implementation brief, and human approval checkpoint 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.