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Finance AI Feature

Monthly close reporting with AI-assisted review and controlled outputs.

Finance AI turns month-end close inputs into a structured workflow for validation, variance analysis, movement commentary, management questions, and report exports.

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Product workflow previewManagement reporting module with executive summary, findings, risks, actions, and output options

Problem

What finance teams are trying to fix

Month-end reporting often depends on manual Excel checks, copied commentary, scattered questions, and late changes before management review.

Why it matters

Why this workflow deserves structure

Finance teams can spend 3-7 days every month preparing reports, updating commentary, and reconciling the story before management review. A structured close workflow reduces manual effort and makes the monthly narrative more consistent.

Before / After

What changes when the workflow is structured.

BeforeAfter
Excel versionsSingle workspace
Manual commentaryAI-assisted draft
Email reviewBuilt-in review
Word formattingOne-click export

Typical results

Credible outcomes without hard promises.

Finance teams typically use Monthly Close to:

  • standardize monthly reporting
  • reduce repetitive commentary work
  • improve consistency between entities
  • prepare board materials faster

How it works

A controlled workflow from source data to reviewed output.

01Upload close inputs
02Validate data
03Explain movements
04Review findings
05Export report

Key capabilities

Built around the work controllers and CFOs repeat every month.

Variance and movement analysis

Management questions

Recommended actions

Evidence-linked commentary

Word and PowerPoint outputs

Typical finance workflow

The real monthly process this feature is designed to support.

Day 1

Upload trial balances

Controllers bring ERP or Excel close data into the workspace.

Day 2

AI identifies major variances

Finance AI highlights material movements and likely drivers.

Day 3

Controller reviews comments

The finance team reviews explanations, evidence, questions, and actions.

Day 4

Management pack generated

Reviewed commentary is converted into a reusable report pack.

Day 5

Board-ready reporting

The output is ready for leadership review after finance approval.

Related workflows

Shows how this feature connects to the broader finance process.

  1. 01Upload
  2. 02Variance Analysis
  3. 03Estimate
  4. 04Management Pack
  5. 05PowerPoint

Screenshots

Product views that show the workflow, not just a feature list.

Actual product viewManagement reporting module with executive summary, findings, risks, actions, and output options
Actual product viewWord report example generated from Finance AI Workspace monthly close output

Who is it for

Designed for finance teams accountable for the monthly truth.

  • CFOs
  • Group Controllers
  • Financial Controllers
  • Finance Managers
  • FP&A teams
  • Accounting Managers

Inputs & roadmap

Start with practical finance inputs. Direct system integrations are roadmap items.

Available input paths

  • ERP exportsInput
  • ExcelInput
  • CSVInput

Planned integrations

  • SAPPlanned
  • OraclePlanned
  • NetSuitePlanned
  • Microsoft DynamicsPlanned
  • AAROPlanned
  • OneStreamPlanned
  • Power BIPlanned

Planned integrations are based on customer demand and implementation priorities.

FAQ

Common questions about Monthly Close.

What is Monthly Close in Finance AI?

Monthly Close is a structured workflow for turning close inputs into variance analysis, commentary, review questions, actions, and report outputs.

Does it replace the finance team?

No. It supports controllers and finance managers with analysis and draft commentary while keeping human review in the workflow.

Can it work with Excel exports?

Yes. The workflow is designed around practical finance inputs, including spreadsheet-based reporting data and ERP exports.

Related features

Connected workflows inside Finance AI Workspace.

IFRS 18 MappingFinance AI helps finance teams document IFRS 18 presentation decisions, classification rationale, KPI impact, review status, and exportable governance evidence.Estimate & ForecastFinance AI helps teams convert current performance, management assumptions, and forecast drivers into a structured estimate review.Variance AnalysisFinance AI helps controllers explain movements, identify material changes, connect evidence, and prepare review questions for management.Management ReportingFinance AI helps teams convert analysis into executive summaries, management commentary, recommended actions, and reusable report packs.

Practical finance experience

Built around real finance workflows.

Designed using practical experience from listed companies, outsourcing environments and multinational finance teams.

Trust

Built for finance workflows that need control, review, and accountability.

Built on Google Cloud
Tenant isolation
Audit trail
Role-based access
AI with human review
GDPR-aware operating model

Book Demo

Review Monthly Close against your real finance workflow.

Use the public page for discovery. The actual workspace remains protected behind login.

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