Jira + Make

Connect Jira to Make in 2 weeks - No Disruption

Save 8+ hours/week by automating the data flow between Jira and Make. Our Harvard-educated consultants design integrations that pay for themselves within weeks.

8+ hours/week

Saved weekly

Jira fields

50+

Clients served

One-way

Sync direction

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Why Connect Jira to Make?

New team members take longer to onboard because they must learn manual workarounds to keep Jira and Make aligned

Make adds complexity: steeper learning curve than Zapier, particularly for non-technical users unfamiliar with the concepts of routers, iterators, and data mapping

No single source of truth when issues live in two disconnected tools, so staff second-guess which system has the correct information

Reporting across Jira and Make requires painful manual exports and spreadsheet merges

Manually copying data between Jira and Make wastes hours every week that could be spent on revenue-generating work

Production order data in Jira and inventory levels in Make are reconciled manually, risking stock-outs

How We Help

With 12+ helping mid-market Australian businesses, we have built dozens of integrations between project management and automation platforms. Connecting Jira to Make is a proven workflow we deploy in 2 weeks. On the technical side, Jira uses a REST + Webhook API with OAuth authentication, which our team handles as part of the build.

Real-Time Visibility Across Teams

When a record updates in Jira, every team member working in Make sees the change instantly. No lag, no stale dashboards, no conflicting reports.

Custom-Built for Your Workflow

Unlike generic connectors, we build integrations tailored to how your business actually uses Jira and Make. Custom field mappings, business rules, and error handling included.

Scalable Without Extra Headcount

As your data volume grows, the integration scales with you. No need to hire additional admin staff to keep Jira and Make in sync, even as your business doubles.

Maximise Billable Hours

When time-tracking and client data sync between Jira and Make automatically, your consultants spend more time on client work and less on admin.

Jira to Make Use Cases

Automated error handling and retry for Jira/Make sync

When a sync between Jira and Make fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Jira and Make

Jira	→	Make	Notes
Jira Owner/Assignee	→	Make Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Jira Timestamps	→	Make Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Jira Record IDs	→	Make External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Jira Epics	→	Make Custom Fields	Epics data from Jira stored in Make custom fields for reference
Jira Issues	→	Make Custom Fields	Issues data from Jira stored in Make custom fields for reference
Jira Boards	→	Make Custom Fields	Boards data from Jira stored in Make custom fields for reference
Jira Sprints	→	Make Custom Fields	Sprints data from Jira stored in Make custom fields for reference
Jira Projects	→	Make Custom Fields	Projects data from Jira stored in Make custom fields for reference

Jira + Make Integration FAQ

We use a combination of direct REST + Webhook API connections and automation platforms like Make, Zapier, or n8n, depending on your requirements and budget. For complex workflows, we build custom middleware. The right approach depends on your volume, sync frequency, and business rules.

Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in Jira or user-defined fields in Make, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.

Most Jira to Make integrations are completed within 2 weeks. We start with a discovery session to understand your specific workflow, then build and test the integration. Complex setups with custom business logic may take up to 4-8 weeks.

Our integrations include retry logic and error queuing. If Make is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

Our integrations include comprehensive error handling: automatic retries for transient failures (respecting API rate limits), error queuing for system outages, data validation before writes, and real-time alerts for issues that need human attention. We also provide a dashboard where you can monitor sync health and review error logs.

By default, we configure Jira to Make as a one-way sync, but bi-directional sync is possible if your workflow requires it. We will assess the best approach during the discovery session.

We follow a structured testing process: unit tests for individual data mappings, end-to-end tests with sample data, and a staging period where we run the integration in parallel with your existing process. You review and approve the results before we switch to live. This approach minimises risk and ensures accuracy.