first safe pilot
Month-end close checklist draft from approved internal steps.
Keep the first workflow at draft or review-support level before any real-world use.
aequai ~ / industries / handbook 10
$ aequai handbook --priority 10 --full-content
Finance & Accounting Admin AI Adoption Handbook
Draft-only finance admin support for close checklists, variance questions, invoice triage, and evidence logs.
priority 10readiness 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
Finance owner, accounting admin, operations admin, and leadership support paths.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: finance-accounting-admin-ai-adoption-handbook-v0.1.md. Source title: Finance & Accounting Admin AI Adoption Handbook v0.1. Finance/accounting content, where applicable, is synthetic and no-professional-advice.
$ 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
Finance and accounting admin teams manage close checklists, variance questions, invoice routing, approval notes, source sheets, and recurring internal reminders. AI can help organize drafts and questions when it stays away from authority, money movement, filings, payroll decisions, tax positions, and accounting entries.
Every training path is personalized to the person, team, role, workflow, tool stack, risk profile, business context, workflow maturity, data boundaries, and approval responsibilities.
This handbook is a fictional/synthetic readiness and workflow-design example. It is not accounting, tax, payroll, legal, securities, investment, or other professional advice.
[02]Typical Workflowssource-backed handbook section+ open- close
Month-end close checklists, variance question packs, invoice triage notes, approval follow-up drafts, source-sheet review notes, recurring finance admin SOPs, and evidence logs for human review.
[03]First 5 Safe Workflowssource-backed handbook section+ open- close
- +Month-end close checklist draft from approved internal steps.
- +Variance question pack for finance-owner review.
- +Invoice triage notes without payment authority.
- +Approval follow-up draft based on approved status fields.
- +Finance admin SOP draft with source references and reviewer notes.
[04]Function Mapsource-backed handbook section+ open- close
| Function | Opportunity | Training Need | Gate |
|---|---|---|---|
| Finance owner | Close checklist review | Boundary and reviewer discipline | Finance owner review |
| Accounting admin | Invoice triage notes | Source-sheet handling | Finance owner before entries, payments, or filings |
| Operations admin | Approval follow-up drafts | Workflow mapping and data exclusion | Process and finance owner review |
| Leadership support | Variance question pack | Assumption logging | Finance owner before decision use |
[05]Boundariessource-backed handbook section+ open- close
Do not use AI for filings, payments, payroll decisions, accounting entries, tax positions, financial approvals, advisor conclusions, audit conclusions, securities analysis, investment analysis, or customer/vendor commitments. Keep payment data, payroll data, tax records, credentials, bank details, and private personal data out of training examples unless there is a separately approved internal process.
[06]Simulation Examplesource-backed handbook section+ open- close
Synthetic scenario: a finance admin team drafts a month-end close checklist from approved internal steps, marks unknown fields, attaches source-sheet references, and requires finance-owner review before any action is taken.
[07]Diagnostic Checklistsource-backed handbook section+ open- close
- +Which close steps repeat monthly?
- +Which source sheets are approved for draft support?
- +Which payment, payroll, tax, and personal data must be excluded?
- +Who reviews before entries, payments, filings, or decisions?
- +Which checklist can remain at L1 draft level?
[08]Fictional/Synthetic Sample Report Teasersource-backed handbook section+ open- close
Fictional/synthetic sample: "Finance Close Checklist Readiness Map." Shows a draft-only checklist workflow, excluded data fields, owner review, and a 30-day training plan. It is not customer evidence, financial advice, accounting advice, tax advice, or external validation.
[09]Recommended AequAI Pathsource-backed handbook section+ open- close
AI Adoption Diagnostic -> AI Literacy Training for finance/admin roles -> AI Governance Starter Kit if use spreads across finance-adjacent teams -> AI Workflow Simulation Lab before any reviewed L2 workflow expands.
[10]30/60/90-Day Roadmapsource-backed handbook section+ open- close
30 days: map finance data boundaries and pick one close checklist draft workflow. 60 days: add source-sheet discipline, reviewer notes, and approval gates. 90 days: run a reviewed pilot and decide whether to proceed, shrink, park, or stop.
[11]Public-Safe Wording Notessource-backed handbook section+ open- close
Use draft support, checklist, source sheet, review gate, evidence log, and finance-owner approval language. Avoid advice, assurance, filing, payment, tax, accounting-entry, investment, securities, audit, guarantee, or outcome 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.