ml-connector
AcumaticaJira

Acumatica and Jira integration

Acumatica runs finance, procurement, and distribution. Jira runs issue tracking and team workflows. Jira is not an accounting system, so this connection does not move financial records into Jira; instead it creates and updates Jira issues when Acumatica documents need human attention, and acts on Acumatica when those issues are resolved. A bill stuck on hold, a purchase order that fails approval, or a payment exception becomes a Jira issue carrying the document reference, vendor, and amount. ml-connector handles the very different APIs on each side and moves the work on a schedule you control.

How Acumatica works

Acumatica Cloud ERP exposes vendors, AP bills, purchase orders, payments, GL accounts, and journal transactions through its Contract-Based REST API, served from a tenant-specific URL whose endpoint version in the path must exactly match the customer's ERP release or the call returns 404. All field values are wrapped as value objects, and document actions such as Release and Approve are POSTed to an action path. It authenticates with OAuth 2.0 through the built-in identity server, supporting authorization_code, password, and client_credentials grants. Acumatica can push data changes via Push Notifications using a shared-secret header rather than a signed body, but the common pattern is polling with a filter on LastModifiedDateTime.

How Jira works

Jira is a project and issue tracker, not an ERP, so it has no native vendor, invoice, purchase order, payment, or GL account objects. It exposes issues, projects, comments, worklogs, and users through the Jira Cloud REST API v3, where the v3 description field uses Atlassian Document Format rather than plain text. It authenticates with OAuth 2.0 3LO, which requires resolving a cloudId from the accessible-resources endpoint before any call, or with basic auth using an email and API token. Jira pushes issue_created, issue_updated, and issue_deleted events by webhook, signed with HMAC-SHA256 in the X-Hub-Signature header, though REST-registered webhooks expire after 30 days and must be refreshed.

What moves between them

The main flow runs from Acumatica into Jira as exceptions. ml-connector polls Acumatica AP bills, purchase orders, and payments on a filter over LastModifiedDateTime, and when a document is on hold, unbalanced, or fails approval it creates a Jira issue with the reference number, vendor, and amount, then updates or comments on that issue as the document state changes. The return path runs from Jira into Acumatica: when an issue reaches its resolved status, ml-connector can POST the matching action, such as Release on a bill, against the original Acumatica document. No financial records are written into Jira, because Jira has no place to hold them; only issue text and status carry the work.

How ml-connector handles it

ml-connector stores both credential sets encrypted. On the Acumatica side it requests an OAuth 2.0 token from the instance identity server and pins the endpoint version in every URL, since a mismatched version returns 404, and it wraps every field value as a value object. On the Jira side it resolves the cloudId from accessible-resources at connect time, refreshes the rotating 3LO token, and builds the description in Atlassian Document Format rather than plain text. Because Acumatica cloud connectors usually poll, it reads documents on a schedule using a LastModifiedDateTime high-water mark rather than waiting for a Push Notification, and where Push Notifications are configured it verifies the shared-secret header. Jira has no idempotency key, so before creating an issue ml-connector JQL-searches a custom external-id field set to the Acumatica document reference, which prevents a duplicate when a document is re-read. Inbound Jira webhooks are verified with the X-Hub-Signature HMAC-SHA256 digest using constant-time comparison, and the connector refreshes those webhooks before their 30-day expiry. Acumatica actions are not idempotent, so the document status is checked before Release or Approve is sent. Every record carries a full audit trail and can be replayed if a downstream call fails.

A real-world example

A mid-sized distribution company running about three hundred staff uses Acumatica for procurement and accounts payable, and its operations team already lives in Jira. Before the integration, AP bills that failed matching or sat on hold were tracked in a spreadsheet, so exceptions were missed, vendors chased late payments, and no one could see who owned a stuck document. With Acumatica and Jira connected, each held bill or failed purchase order opens a Jira issue assigned to the buyer, with the reference and amount in the summary, and once the issue is resolved ml-connector releases the bill in Acumatica. Exceptions now have an owner and an audit trail, and the spreadsheet is gone.

What you can do

  • Open a Jira issue automatically when an Acumatica bill, purchase order, or payment lands on hold or fails validation.
  • Carry the Acumatica document reference, vendor, and amount into the issue summary so the owner has full context.
  • Release or approve the matching Acumatica document when its Jira issue reaches a resolved status, after checking document status first.
  • Dedupe issues on a Jira external-id custom field set to the Acumatica reference, so a re-read document never creates a second issue.
  • Bridge Acumatica OAuth 2.0 on the versioned endpoint and Jira OAuth 3LO with a resolved cloudId, with retries and a full audit trail.

Questions

Can Jira store Acumatica invoices, purchase orders, or GL data?
No. Jira is an issue tracker and has no vendor, invoice, purchase order, payment, or GL account objects. ml-connector instead creates Jira issues that reference Acumatica documents by number, amount, and vendor, so the financial records stay in Acumatica while the exception work happens in Jira.
Which direction does data move between Acumatica and Jira?
It moves both ways. Acumatica document exceptions flow into Jira as new or updated issues, and when an issue reaches its resolved status the connector can send a matching action back to Acumatica, such as Release on a bill. Because Acumatica actions are not idempotent, the connector checks the document status before it acts.
How does the integration avoid creating duplicate Jira issues?
Jira has no idempotency key for issue creation, so ml-connector writes the Acumatica document reference into a Jira external-id custom field and JQL-searches that field before creating. If a matching issue already exists it updates that issue instead of opening a new one, which prevents duplicates when a document is re-read during polling.

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