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AI agent

The month-end close agent

The agent watches the close checklist around the clock, so the close takes days less.

The challenge

Month-end close is dozens of tasks, dependencies and reminders. The CFO sees status only when someone compiles it, and slippage surfaces on the last day.

What the agent does

The agent runs the close checklist 24/7: watches deadlines, nudges task owners on Teams, reconciles items and proposes postings, and drafts the first version of the management commentary on variances.

Illustrative example · what the conversation looks like

Microsoft Teams · Month-end close
Mientha Assistant · AI agent
Close status: 92% of tasks done. Blockers: 3 missing cost invoices (reminders sent), 1 intercompany mismatch of PLN 42k. I propose a correcting entry, awaiting approval.
Approved. When is the preliminary P&L?
Today at 4:00 pm. Commentary on variances > 5% by 5:00 pm, with causes and recommendations.

Business benefits

Why boards buy this

  • The close checklist watched 24/7
  • Automatic Teams nudges to task owners
  • Reconciliations and posting proposals with an audit trail
  • The agent drafts the first version of the management commentary

Impact on results

  • A close 2-4 days shorter
  • Fewer overtime hours in finance
  • The CFO sees status at any moment

UiPath · Microsoft Teams · Human-in-the-loop

Solutions in the library

The same process as an implementation plan

The agent page describes what the agent does. Library solutions describe the processes it works on, with a value model and an implementation plan.

We deliver it through our service AI agents on Microsoft Teams.

The library describes this agent’s processes for industries including Manufacturing & industry, Professional services & IT, Shared services (GBS/SSC).

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