Which direction does data move between Deltek and Jira?

The main flow is Deltek into Jira. Finance and project exceptions from Deltek workflow events become Jira issues, while the reverse flow is status only, marking a Deltek record resolved when its Jira issue closes. Jira has no invoices, vendors, or GL accounts, so no ledger data is written into it.

How does the integration avoid creating duplicate Jira issues?

Jira Cloud has no idempotency header for issue creation, so ml-connector writes the Deltek record key into a Jira externalId custom field. Before creating an issue it JQL-searches that field, and if a match is found it updates the existing ticket instead of opening a new one. Custom field ids are discovered per Jira instance rather than hardcoded.

How are the two systems' webhooks handled, given Deltek does not sign its payloads?

Deltek Vantagepoint workflow webhooks carry no HMAC signature, so ml-connector secures them with the basic-auth or key fields on the webhook URL and also polls Deltek accounting transactions on a schedule as a backstop. Jira's outbound webhooks are signed with HMAC-SHA256, which ml-connector verifies against the X-Hub-Signature header, and it refreshes the REST-registered Jira webhooks before their 30-day expiry.

DeltekJira

Deltek and Jira integration

Deltek Vantagepoint runs project accounting and finance. Jira tracks the work that fixes problems. Connecting the two means a finance exception in Deltek, such as a held AP invoice or a rejected expense report, becomes a Jira issue assigned to the right person instead of an email no one tracks. ml-connector reads Deltek workflow events, opens and updates Jira issues with the source record details, and watches the issue back so resolution can flow to Deltek. Jira holds no financial records, so the connection moves exception context and status, not ledger data.

How Deltek works

Deltek Vantagepoint exposes Firms, Contacts, Employees, and Projects as Hub APIs, plus AP invoices, AR invoices, journal entries, cash receipts, and employee expense reports as accounting transaction APIs, all over REST JSON on a tenant-specific URL like company.deltekfirst.com. Authentication uses OAuth 2.0 password grant against the tenant token endpoint, which must have Allow Password Grant Type enabled. Outbound webhooks are workflow-driven and fire on record-save events including expense report saves, but carry no HMAC signature, so they authenticate with the basic-auth or key fields set on the webhook URL. There is no native idempotency header, so callers check for an existing record before posting.

How Jira works

Jira Cloud exposes issues, projects, comments, worklogs, and workflow transitions through its REST v3 API, using either OAuth 2.0 three-legged flow or basic auth with an email and API token. OAuth calls run against a cloudId resolved from the accessible-resources endpoint and stored with the tokens. Jira supports real outbound webhooks registered by REST for events like issue_created and issue_updated, signed with HMAC-SHA256 in the X-Hub-Signature header and filterable by JQL. Issue descriptions in v3 use Atlassian Document Format rather than plain text, and REST-registered webhooks expire after 30 days unless refreshed.

What moves between them

The main flow runs from Deltek into Jira. When a Deltek workflow fires on a held AP invoice, an unapproved expense report, an overdue AR invoice, or a project that crosses a budget threshold, ml-connector creates or updates a Jira issue carrying the record number, amount, project, and a link back to Deltek. The reverse flow is status only: when a Jira issue is transitioned to done, ml-connector receives Jira's signed webhook and can flag the matching Deltek record as resolved through the Vantagepoint API. No invoices, vendors, or GL accounts are written into Jira, because Jira has no place to store them. Polling on a schedule catches any Deltek events missed by a webhook.

How ml-connector handles it

ml-connector stores both credential sets encrypted and bridges the two auth models: it sends a Deltek password-grant bearer token, refreshing it when a call returns 401, and uses a Jira OAuth token against the resolved cloudId, or basic auth with an email and API token. Because Deltek webhooks have no HMAC, ml-connector locks them to a per-customer secret on the webhook URL fields and still polls Deltek accounting transactions on a schedule as a backstop. Jira's inbound webhooks are verified by recomputing HMAC-SHA256 over the raw body and comparing to X-Hub-Signature in constant time, rejecting a mismatch with 401. To avoid duplicate tickets, the Deltek record key is written to a Jira externalId custom field and JQL-searched before any create, since Jira has no idempotency header; custom field ids are discovered per instance rather than hardcoded. Issue descriptions are built as Atlassian Document Format, and a refresh job re-registers Jira webhooks before the 30-day expiry. Failed calls are retried with backoff and replayed from a full audit trail.

A real-world example

A two-hundred-person architecture and engineering firm runs Deltek Vantagepoint for project accounting and uses Jira for its internal operations board. Before the integration, AP invoices that failed approval and expense reports stuck in review sat inside Deltek workflow queues that only the accounting team watched, so project managers found out about blocked vendor payments days later, usually at month-end. With Deltek and Jira connected, every held invoice or rejected expense report opens a Jira issue tagged with the project and amount and assigned to the responsible manager, and closing the issue marks the Deltek record resolved. Exceptions get worked the same day, and finance stops chasing status by email.

What you can do

Open a Jira issue automatically when a Deltek workflow reports a held AP invoice, rejected expense report, or budget exception.
Carry the Deltek record number, amount, and project into the issue, with a link back to Vantagepoint.
Deduplicate by writing the Deltek key to a Jira externalId field and JQL-searching it before each create.
Verify Jira HMAC-SHA256 webhook signatures and flag the matching Deltek record resolved when an issue closes.
Bridge Deltek tenant OAuth2 password-grant tokens and Jira OAuth or API-token auth, with retries and a full audit trail.

Questions

Which direction does data move between Deltek and Jira?: The main flow is Deltek into Jira. Finance and project exceptions from Deltek workflow events become Jira issues, while the reverse flow is status only, marking a Deltek record resolved when its Jira issue closes. Jira has no invoices, vendors, or GL accounts, so no ledger data is written into it.
How does the integration avoid creating duplicate Jira issues?: Jira Cloud has no idempotency header for issue creation, so ml-connector writes the Deltek record key into a Jira externalId custom field. Before creating an issue it JQL-searches that field, and if a match is found it updates the existing ticket instead of opening a new one. Custom field ids are discovered per Jira instance rather than hardcoded.
How are the two systems' webhooks handled, given Deltek does not sign its payloads?: Deltek Vantagepoint workflow webhooks carry no HMAC signature, so ml-connector secures them with the basic-auth or key fields on the webhook URL and also polls Deltek accounting transactions on a schedule as a backstop. Jira's outbound webhooks are signed with HMAC-SHA256, which ml-connector verifies against the X-Hub-Signature header, and it refreshes the REST-registered Jira webhooks before their 30-day expiry.

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