Cuestionario vinculado a una guía · duro Nivel

Cuestionario de automatización de cierre de fin de mes de IA

Prueba sugerencias de acumulación de datos recibidos no facturados, descomposición de varianzas para análisis de flujo y estrechas dependencias de listas de verificación.

Rutas de guía relacionadasAutomatización del cierre de fin de mes con IA
Pregunta 1 de 8

A cleaning contractor's invoice has not arrived by month end. What does the guide say an AI accrual suggestion draws on?

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  1. A cleaning contractor's invoice has not arrived by month end. What does the guide say an AI accrual suggestion draws on?
    • Received-not-invoiced records and the vendor's recurring monthly pattern
    • The prior year's tax return
    • Customer remittance advice
    • The payroll register only
  2. Why should a language model's flux explanation be limited to precomputed facts and transaction IDs?
    • To make the explanation shorter
    • Because a model can write a convincing explanation that the transactions do not support
    • Because auditors do not accept written explanations
    • To avoid using review thresholds
  3. Which dependency does the guide use as an example of what close checklist tools track?
    • Consolidation must finish before bank reconciliations
    • Tax returns must be filed before accruals
    • Intercompany reconciliations must finish before consolidation
    • Budgets must be approved before payroll
  4. How does the guide suggest measuring the accuracy of AI accrual suggestions?
    • By counting how many accruals were booked
    • By asking the vendor to confirm estimates
    • By comparing to the budget only
    • Through the true-up: comparing each accrual with the actual invoice when it arrives
  5. Before a model writes a flux narrative, what decomposition does the guide recommend?
    • Splitting the variance by fiscal year only
    • Converting all amounts to a single currency
    • Separating price from volume effects and one-time from recurring items across vendor, department and account
    • Rounding all balances to thousands
  6. According to the guide, who is responsible for AI-proposed journal entries?
    • A preparer and a separate reviewer must still approve them
    • El proveedor de software
    • No one, if the model confidence is high
    • Only the external auditor
  7. Why does the guide recommend logging the model version, edits and approver for AI-assisted close items?
    • To reduce storage costs
    • So reviewers and auditors can re-perform and test the control
    • To train the vendor's public model
    • Because ERPs require it to post entries
  8. Why are flux reviews often triggered only when a change exceeds both a percentage and a dollar threshold?
    • Because regulations set those exact thresholds
    • Because language models require two thresholds
    • Because dollar thresholds do not apply to expenses
    • So small accounts with large percentage swings do not flood reviewers