first safe pilot
Product-description draft from approved inventory facts.
Keep the first workflow at draft or review-support level before any real-world use.
aequai ~ / industries / handbook 04
$ aequai handbook --priority 04 --full-content
Retail & E-commerce AI Adoption Handbook
Product copy, catalogue cleanup, support FAQs, and campaign drafts built only from approved facts.
priority 04readiness 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 Literacy Training -> Department AI Pilot Design
Use diagnostics, training, pilot design, governance, or simulation according to the workflow risk.
training path
Retail owner, support, marketing, and inventory paths.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: retail-ai-adoption-handbook-v0.1.md. Source title: Retail 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
Retail and e-commerce teams manage product facts, catalogue updates, customer FAQs, reviews, campaigns, and support questions. AI can speed drafting, but reviewed facts and customer privacy matter.
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 descriptions, catalogue cleanup, FAQ drafts, campaign briefs, review summaries, stock notes, and customer update drafts.
[03]First 5 Safe Workflowssource-backed handbook section+ open- close
- +Product-description draft from approved inventory facts.
- +Customer FAQ draft from approved policy.
- +Catalogue tag cleanup.
- +Campaign brief from approved product facts.
- +Review summary for internal improvement.
[04]Department / Function Mapsource-backed handbook section+ open- close
| Function | Opportunity | Training Need | Gate |
|---|---|---|---|
| Owner | Weekly product and customer brief | Source discipline | Owner review |
| Sales | Product copy | Fact boundaries | Owner review before publication |
| Support | FAQ drafts | Customer privacy | Support/owner review |
| Marketing | Campaign drafts | Claim-safety review | Marketing/owner review |
| Inventory | Tag cleanup | Data hygiene | Inventory owner review |
[05]Boundariessource-backed handbook section+ open- close
Do not use AI for price decisions, refund/dispute decisions, authenticity conclusions, health/safety claims, or private customer processing. Keep payment records and private customer details excluded.
[06]Simulation Examplesource-backed handbook section+ open- close
Synthetic scenario: AI drafts a product description from approved inventory facts and flags missing source fields. Owner reviews before publication.
[07]Diagnostic Checklistsource-backed handbook section+ open- close
- +Which product facts are approved?
- +Which claims are unsupported?
- +Which customer data is excluded?
- +Who reviews public copy?
- +Which tool workflow is approved?
[08]Fictional/Synthetic Sample Report Teasersource-backed handbook section+ open- close
Fictional/synthetic sample: "Retail Product Copy Review Map." Shows source facts, draft workflow, and claim-safety gate. It is not customer proof.
[09]Recommended AequAI Pathsource-backed handbook section+ open- close
AI Literacy Training -> Department AI Pilot Design for catalogue/support workflow -> AI Governance Starter Kit if team use spreads.
[10]30/60/90-Day Roadmapsource-backed handbook section+ open- close
30 days: product-copy workflow. 60 days: FAQ and campaign review. 90 days: team playbook.
[11]Public-Safe Wording Notessource-backed handbook section+ open- close
Use approved facts, drafts, review, and data-boundary 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.