Flux analysis,
prepared automatically
Automate flux analysis and variance explanations with AI that identifies, explains, and contextualizes period-over-period changes across accounts, entities, and drivers — grounded in accurate cross-account transaction data directly from your GL.
.png)
Flux calculation & variance detectionGenerate flux analysis from reconciled close data
- Automatically calculate period-over-period variances for balance sheet and P&L accounts across all accounting dimensions (subsidiary, department, class, customer/vendor, and custom fields)
- Analyze far more data than a human can realistically sift through, using statistical methods to surface the true drivers behind each variance
- Eliminate manual roll-forwards, pivot tables, and time spent searching for clues across spreadsheets
- AI analyzes changes across accounts, entities, and underlying drivers to draft variance explanations with clear reasoning and support
- Explanations reference the specific accounts, entities, journal entries, and schedules that drove each variance
- Focus attention on material movements instead of blindly following known patterns, or manually search for clues in the data
- Review drafted flux explanations in the same unified platform as reconciliations, working papers, and supporting journal entries
- Edit explanations directly or give the AI guidance to refine the language and reasoning — with full human control
- Retain reviewer comments and final explanations with each close period
- Flux analysis tasks live inside the close checklist with clear ownership and status
- Propose updated drafts when late entries or adjustments affect the variance
- No rework rebuilding spreadsheets when balances change late in the month-end close
Core capabilities
Why finance teams choose Ledge
FAQ
Ledge uses AI to analyze period-over-period changes across accounts, entities, and drivers, then drafts variance explanations grounded in reconciliations, working papers, and journal entries prepared during the close.
Traditional flux relies on manually rebuilding spreadsheets and writing explanations after the close. Ledge generates flux analysis directly from reconciled close data, eliminating duplicate work and late-stage scramble.
Standalone tools require a separate workflow to explain numbers after they’re finalized. Ledge integrates flux analysis into the close itself, using the same data and artifacts that produced the numbers.
Yes. Ledge supports flux analysis for both balance sheet and income statement accounts, including period-over-period comparisons.
Ledge analyzes the underlying activity — transactions and reconciled balances — to identify the drivers of change and draft explanations tied to that activity.
Yes. Teams define materiality thresholds globally, but also with per-account overrides (percent and/or nominal), so explanations focus on meaningful variances instead of noise.
Ledge flags when late entries or adjustments affect a variance and proposes an updated draft. Previously approved explanations are never overwritten without review.
Yes. Prior-period explanations are retained and reused, helping teams maintain consistency and reduce repetitive explanation work month over month.
AI drafts the initial explanation, and accountants review, edit, and approve it. All reviewer comments and approvals are retained with the period.
Yes. Every explanation is linked to reconciled balances, journal entries, and supporting schedules, creating a clear audit trail.
Yes. Ledge supports entity-level and consolidated variance analysis, with explanations tied to the underlying entity activity.
No. Customer data is not used to train shared AI models.
