AI-assisted month-end close: what the agent handles vs what finance approves

    A control-first approach to AI in finance: let the agent prepare reconciliation and reporting drafts, but keep posting and payments behind explicit approvals.

    Month-end close does not fail because finance teams do not work hard.

    It fails because the work is fragmented: missing evidence, delayed approvals, and reconciliation done too late.

    The finance agent helps most when it prepares the work and routes decisions, without taking authority away from finance.

    See:

    What the agent should handle (assist/execute)

    Draft-first tasks that reduce close time:

    • Prepare reconciliation candidates and exception queues
    • Assemble reviewable reporting outputs
    • Flag missing documents and references before approvals
    • Summarize variances and outliers for human review

    Related product workflows:

    What finance should always approve (approve)

    Keep these behind explicit approvals:

    • Payments
    • Posting actions that impact financial statements
    • Adjustments and write-offs
    • Policy exceptions

    Finance owns the final decision. The agent moves the preparation work forward.

    The evidence rule

    If you cannot link a close decision back to evidence, you do not have control.

    Build the habit:

    • Evidence attached before approval
    • Audit trail for who approved and when
    • Status history (not silent overwrites)

    Related foundations:

    What to do next

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