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Scope sheet
finbryn.com

AI and automation

AI-assisted month-end close

AI-assisted month-end close from Finbryn builds a status-tracked close checklist in QuickBooks Online or NetSuite, anomaly detection tuned to a US business's own historical patterns, and a first-draft flux commentary for material variances. A senior reviewer checks every flagged item and signs off before reports go out.

What is included

  • A close checklist tracked by task status and account owner
  • Anomaly detection tuned to your own historical account patterns
  • A month-over-month exception log ranked for controller review
  • Draft flux commentary generated for each material variance
  • Integration with your existing chart of accounts and reporting calendar
  • A documented sign-off trail for each closed period
  • A quality report after each of the first several closes
  • Threshold retuning based on real close results, not a fixed setting

The process

  1. 1.

    Baseline the history

    Trailing close history is pulled to establish what a normal balance, ratio or transaction pattern looks like for each material account.

  2. 2.

    Build the checklist

    Close tasks get mapped to a named owner and a due point in your reporting calendar, tracked by status.

  3. 3.

    Tune anomaly thresholds

    Detection gets set against your own historical pattern, not a generic benchmark, and adjusted before going live on real closes.

  4. 4.

    Run the close live

    Accounts get scored as data comes in, with anything outside the tuned range landing on the exception log.

  5. 5.

    Draft and edit flux commentary

    A first-pass variance explanation generates for material flags; a person on the close team edits it before it counts as final.

  6. 6.

    Controller sign-off

    A controller reviews the exception log and edited commentary and signs off before reports go out.

Software

QuickBooks Online, NetSuite, Sage Intacct, Power BI, FloQast

Quality control

Every flagged item still gets checked by a person, and a controller or senior reviewer signs off on the full close before any report leaves the building.

Pricing

AI-assisted month-end close setup is a project-based fee, quoted after a scoping call once we review your chart of accounts and close calendar. It is separate from ongoing monthly close and reporting, which is priced on the rate card at /us/pricing, and from any FloQast or Power BI subscription cost billed directly by the vendor.

See current pricing

Finbryn is a brand of Northlane Solutions Inc., a Delaware corporation.

Reviewed September 2026