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Jira + Ledge Integration

By integrating Jira and Ledge, finance teams automatically pull and prepare operational data for the close, so accruals and project-based accounting work are ready for review instead of tracked manually.

Use operational activity to support accruals without rebuilding Jira reports every month

Jira is often the system of record for project activity, engineering work, and operational tasks that drive costs or revenue recognition.

But during the close, finance teams need to export Jira data, manually track progress, and rebuild accrual logic in spreadsheets to reflect work completed during the period.

This creates a recurring problem where operational activity is pulled and translated into accounting outputs every month before close work can begin.

Ledge removes that rebuild. AI agents pull Jira data directly into the close and prepare accrual support, allocations, and project-based schedules automatically.

What makes Jira + Ledge different

Operational activity is translated into accounting-ready outputs

Jira tracks tickets, work progress, and project activity that often drive accruals or allocations.

In Ledge, AI agents pull this data and prepare schedules that reflect work completed during the period without manual interpretation.

Period-over-period changes are reflected automatically

Jira data changes continuously as tickets are created, updated, or closed.

Workflow-specific AI agents, purpose built in Ledge, rebuild accrual schedules each close using fresh data, so movement and flux are aligned with actual operational changes.

How the Jira + Ledge integration works

1
Connect

Securely connect Jira to Ledge in minutes using API credentials.

2
Configure

Use Ledge’s Agent Studio to define how Jira data supports your close, such as accrual logic or project-based allocations, in plain language.

3
Run every close

Agents automatically pull fresh Jira data, rebuild workpapers, and prepare accrual schedules each period so your team starts in review.

Close faster with the work done-for-you

Work prepared by AI agents

Project-based accruals, allocations, and operational support schedules are prepared before review begins.

Excel-native outputs

AI agents generate fully editable Excel workpapers with live formulas and traceability to Jira activity data.

Review instead of preparation

Accountants review accrual drivers and approve results instead of manually tracking project activity.

Audit-ready by default

Operational data, calculations, assumptions, and approvals are captured automatically as part of the close.

Full close visibility

Jira-driven tasks are tracked alongside the rest of the close with clear ownership and status.

FAQ

What role does Jira play in Ledge?

Jira is treated as an operational data source that feeds close workflows, especially for accruals and project-based accounting.

Does this replace our ERP?

No. Ledge prepares accruals and supporting schedules, but posting and financial records remain in your ERP.

Will we still use Excel?

Yes. Workpapers are generated as fully editable spreadsheets with formulas and traceability to Jira data.

Is anything posted automatically?

No. All work is reviewed and approved by finance before posting.

How is Jira data used for accruals?

In Ledge, workflow-specific AI agents—customized by your finance team—pull Jira activity data and prepare schedules that reflect work completed during the period, which can be used to support accrual calculations and allocations.

What is Ledge?

Ledge is a close management platform that uses workflow-specific AI agents, purpose-built and customized by finance, to execute the close work under your team’s direction.

AI agents pull data from systems like your ERP, banks, HRIS, AP platforms, CRM, billing systems, and operational systems like Jira, then prepare reconciliations, schedules, and journal entries.

Ledge combines close orchestration, Excel-native workpapers, and human-in-the-loop approvals in a single platform.

Request a demo

See how Jira data flows into Ledge’s agent-driven close and how to eliminate manual rebuilds each month from your workflows.

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