first safe pilot
Customer FAQ draft or staff SOP draft from approved facts.
Keep the first workflow at draft or review-support level before any real-world use.
aequai ~ / industries / handbook 01
$ aequai handbook --priority 01 --full-content
Small Business AI Adoption Handbook
Practical owner-led AI adoption for repeated FAQs, SOPs, customer prep, and low-risk internal drafts.
priority 01readiness 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 Adoption Diagnostic -> AI Literacy Training
Use diagnostics, training, pilot design, governance, or simulation according to the workflow risk.
training path
Small business owner and frontline team path.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: small-business-ai-adoption-handbook-v0.1.md. Source title: Small Business 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
Small businesses need practical AI use without adding hidden risk. The best first workflows are repeated, reviewable, and low-risk: FAQs, appointment prep, SOP drafts, product descriptions, internal checklists, and owner decision briefs.
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
Customer inquiries, scheduling, product/service descriptions, staff SOPs, supplier notes, simple marketing drafts, owner planning, and review checklists.
[03]First 5 Safe Workflowssource-backed handbook section+ open- close
- +Customer FAQ draft.
- +Appointment or service-prep brief.
- +Staff SOP draft.
- +Product/service description draft from approved facts.
- +Weekly owner summary from approved notes.
[04]Adoption Mapsource-backed handbook section+ open- close
| Area | AI Opportunity | Training Need | Gate |
|---|---|---|---|
| Owner | Decision brief drafts | Tool choice and source discipline | Owner review |
| Customer support | FAQ and reply drafts | Data boundaries | Owner review before send |
| Operations | SOP and checklist drafts | Workflow mapping | Process owner review |
| Marketing | Content drafts | Claim-safety review | Owner review before publication |
| Procurement | Supplier note summaries | Evidence handling | Owner review |
[05]Boundariessource-backed handbook section+ open- close
Keep private customer data, payment records, employee records, tax records, legal files, and credentials out of training examples. Do not delegate prices, refunds, disputes, hiring decisions, or customer commitments to AI.
[06]Simulation Examplesource-backed handbook section+ open- close
Synthetic scenario: a small service business turns three repeated customer questions into an FAQ draft, logs approved source policies, and adds owner review before publication.
[07]Diagnostic Checklistsource-backed handbook section+ open- close
- +Which questions repeat weekly?
- +Which workflows can stay at L1 draft?
- +Which tools are already used?
- +Which data must be excluded?
- +Who reviews before customers see anything?
[08]Fictional/Synthetic Sample Report Teasersource-backed handbook section+ open- close
Fictional/synthetic sample: "Small Business First AI Workflow Map." Shows an FAQ draft workflow, data boundary, and 30-day training plan. It is not customer evidence or external validation.
[09]Recommended AequAI Pathsource-backed handbook section+ open- close
AI Adoption Diagnostic -> AI Literacy Training -> AI Governance Starter Kit if team use spreads -> AI Workflow Simulation Lab for any reviewed L2 workflow.
[10]30/60/90-Day Roadmapsource-backed handbook section+ open- close
30 days: one FAQ or SOP workflow. 60 days: add role-specific tool practice. 90 days: decide whether to simulate a team workflow.
[11]Public-Safe Wording Notessource-backed handbook section+ open- close
Use readiness, drafts, checklists, human review, and personalized training language. Avoid transformation, outcome, or endorsement claims.
$ 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.