Discussions
-
From Jira Data Center to Cloud: AI-assisted documentation as the lever for business transformation
Moving from Jira Data Center to Jira Cloud is rarely hard for technical reasons. The hard part is finding out what your instance actually does today, and whether the business still needs all of it. For a customer with a large Jira Data Center instance, we built an AI-assisted pipeline that reads the instance read-only and…
-
Bringing Dynamic Field Behaviours to the JSM Customer Portal
Why portal data accuracy matters Most JSM tickets start with a form. Whatever the customer fills in is what the support team works with from there — queues, SLAs, automations, reports. The structure of that data decides whether a ticket lands in the right place; the accuracy decides whether the agent has to follow up to…
-
Why Behaviours in Jira Cloud Shouldn't Require a Developer
Why behaviours matter Working with a large European telecommunications operator, we've been modeling complex business processes in Jira — project management, capacity management, budget management, and accounting. What kept coming back was this: without conditional validations and dynamic screen behaviours, these…
-
Jira–SAP Integration: Structuring WBS Alignment for S/4HANA Enterprises
Many enterprises use Jira for delivery governance and SAP S/4HANA for financial controlling. This article describes a workflow-driven integration model that aligns Jira approval processes with SAP WBS structures through structured hierarchy design, controlled ETL synchronization, and financial validation guardrails. Based…
