Focused use case #1

Agentic Month-End Close

Run your month-end close with AI agents. Bring every close activity into one controlled process, while Finance stays in control of exceptions, approvals and decisions.

TYPICAL EXECUTION QUESTION

What would our close look like if controllers only handled the exceptions?

Assign selected close tasks to AI agents:

  • Account reconciliation: Reconcile balances and flag what doesn’t match
  • Open items: Build and maintain the list of open items
  • Completeness and close alerts: Spot missing activities before deadlines pass
  • Consolidation controls: Run AFC consolidation controls and surface issues early

ONE CONTROLLED CLOSE

Every close activity in one process

The month-end close is still highly manual. Controllers spend much of it following up, preparing reconciliations, checking balances, analysing deviations and documenting controls.

Workflow brings every close activity, owner, deadline and dependency into one process and assigns selected tasks to AI agents. When a task matches, it moves straight through. When it doesn’t, it goes to a controller.

HUMAN IN THE LOOP

Agents prepare, controllers decide

Only exceptions and judgement items reach the responsible controller. Input, output, reviewer and action stay connected in the workflow, so every step of the close is documented, across entities and periods.

Business impact

How you benefit?

  • Less routine work: Agents take on repetitive reconciliations and checks
  • Exception-based control: Controllers spend their time where judgement is needed
  • Consistent documentation: Every task, review and approval is recorded the same way
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