Problem
What finance teams are trying to fix
Variance analysis is often slow because finance teams must manually scan accounts, explain movements, and assemble commentary under time pressure.
Book a DemoFinance AI Feature
Early AccessAutomated variance analysis with evidence and finance review.
Turn actual, budget and prior-period movements into reviewable variance explanations without losing finance control. Finance AI automates materiality-led analysis and draft commentary; Finance reviews the evidence, edits the explanation, and approves what is used.
Early Access
Variance Analysis is available for tailored Early Access pilots.
Start with the finance data and reporting workflow you already use. We agree the practical scope, controller review points, and customer-specific onboarding together.
- Excel, CSV, or ERP-source starting point
- Working workflow evaluated with customer data
- Controller review and governed outputs
- Scope tailored to practical finance priorities
Early Access is a tailored product engagement, not an automatic approval of every use case or accounting judgement.
Why it matters
Why this workflow deserves structure
Finance teams need faster analysis without turning an AI-generated explanation into an unreviewed conclusion. Materiality, source context, and an explicit approval step keep the final commentary accountable.
Before / After
What changes when the workflow is structured.
| Before | After |
|---|---|
| Fragmented files and comments | Single finance workflow |
| Manual analysis drafts | AI-assisted reviewable draft |
| Email-based approvals | Built-in review trail |
| Recurring formatting work | Reusable export output |
Continue the workflow
Connect this step to the wider finance process.
Use the next workflow or decision guide that matches the question you are solving.
Typical results
Credible outcomes without hard promises.
Finance teams typically use Variance Analysis to:
- Faster variance review
- More consistent explanations
- Better follow-up after management review
How it works
A controlled workflow from source data to reviewed output.
01Actuals and comparison data
02Materiality
03Driver analysis
04Source evidence
05Draft commentary
06Finance review
Key capabilities
Built around the work controllers and CFOs repeat every month.
Budget vs actual analysis
Prior-period movement review
Materiality thresholds
Evidence-linked explanations
Management questions and actions
Typical finance workflow
The real monthly process this feature is designed to support.
Explain local movements
Review actual versus budget, forecast, or prior-period movements in the source entity context.
Connect the consolidated view
Evaluate group movements against the governed group scope and reviewed consolidation output.
Follow the operating driver
Use available dimensions to review how segments or products contribute to the reported movement.
Related workflows
Shows how this feature connects to the broader finance process.
- 01Actuals and comparison data
- 02Materiality
- 03Driver analysis
- 04Source evidence
- 05Draft commentary
- 06Finance review
Screenshots
Product views that show the workflow, not just a feature list.
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 Variance Analysis.
What variance analysis does Finance AI support?
It supports budget vs actual review, prior-period movement analysis, materiality-driven findings, commentary, questions, and actions.
Can users review AI explanations?
Yes. Explanations remain editable and reviewable. Evidence, source context, and confidence support finance judgement; they do not automatically prove the root cause of a movement.
How does this relate to monthly close?
Variance analysis is a core part of the monthly close and management reporting workflow.
Related features
Connected workflows inside Finance AI Workspace.
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 Variance Analysis against your real finance workflow.
Use the public page for discovery. The actual workspace remains protected behind login.