Anaplan + Ledge Integration
With the Anaplan integration for Ledge, planning and forecast data is automatically pulled and prepared for the month-end close using AI agents, so budget comparisons, accrual assumptions, and variance analysis are ready for review—not rebuilt manually.
Turn planning data into close-ready inputs — without rebuilding spreadsheets every month
The result is familiar: accountants spend days rebuilding the same budget vs actual views, reconciling plan assumptions to the GL, and rewriting variance explanations that reset every month.
Ledge removes that rebuild. Anaplan becomes a direct input to the close, using AI agents to automatically pull and prepare planning data in the exact formats your team needs.
What makes Anaplan + Ledge different
Budget and forecast data is critical for explaining period-over-period and budget-to-actual movement. With Anaplan connected to Ledge, AI agents pull the specific plan data required for each close task and prepare the supporting workpapers automatically—rather than relying on one-off exports and late-stage comparisons.
Anaplan models change throughout the month as assumptions are updated. Ledge agents rebuild close support every period using the latest approved planning data, so flux analysis, accrual support, and variance explanations stay aligned with what actually changed—without rework when numbers move late in the close.
How the Anaplan + Ledge integration works
Securely connect Anaplan to Ledge using a native, lightweight integration. Setup is fast and flexible enough to support multiple models, entities, and planning views.
Use Ledge’s Agent Studio to configure how Anaplan data supports your close. Describe the workflow in plain language—such as budget vs actual comparisons, forecast-driven accrual support, or variance thresholds—and create a custom agent in minutes.
Each period, agents automatically pull fresh Anaplan data, rebuild Excel workpapers with live formulas, and prepare analysis before the task is opened. Your team reviews and approves instead of rebuilding.
Planning-driven close work, prepared automatically
Prepared work, not manual rebuilds
Budget vs actual schedules, forecast comparisons, and variance drivers are prepared automatically each close.
Excel-native outputs
Agents generate fully editable Excel workpapers with live formulas, rollforwards, and clear traceability back to Anaplan and the GL.
Review instead of preparation
Accountants focus on judgment, exceptions, and approval—not exporting data and fixing spreadsheets.
Consistent, auditable analysis
The same logic runs every period, reducing close variability and making variance explanations easier to defend.
Full visibility inside the close
Anaplan-driven tasks are tracked alongside the rest of the close, with clear ownership, status, and approvals.
FAQ
Anaplan is treated as a planning and forecasting data source that feeds agent-driven close workflows. It is not a standalone reporting or reconciliation tool.
No. Ledge works alongside your ERP and planning systems. Anaplan data is used to prepare close work, while posting and final balances remain in your ERP.
Yes. Ledge is Excel-native. Agents generate Excel workpapers that your team can open, review, and adjust as needed.
No. Ledge is human-in-the-loop by default. Agents prepare the work; accountants review and approve before anything posts.
What is Ledge?
Ledge is an agent-driven close management platform where AI agents don’t just track progress—they execute close work under your team’s direction.
Each close task can have its own agent that pulls data from systems like your ERP, banks, HRIS, AP platforms, CRMs, billing systems, and planning tools like Anaplan. Agents prepare reconciliations, schedules, flux analysis, and draft journal entries before the task is even opened.
Ledge combines close orchestration, Excel-native workpapers, and human-in-the-loop approvals in a single platform—so the close runs on prepared work, not manual rebuilds.
See the Anaplan + Ledge integration in action
Request a demo to see how Anaplan planning data fits into an agent-driven close—and how budget and forecast analysis becomes close-ready without added manual work.
