Platform governance
Atlassian is easy to start, hard to sustain
An Atlassian platform becomes sustainable when its choices remain understandable, governed and useful to teams long after the initial rollout.
Publications
Convictions tested in the field.
Original perspectives on Atlassian platforms, AI-system architecture and large-scale transformation: method, explicit limits and concrete cases.
Atlassian platforms
Govern what must last
Configuration debt, standards, exceptions and platform health when Jira, Confluence or JSM become business-critical.
AI and automation
Build beyond the demonstration
Prepared data, aggregations, indexes, specialised agents and validation that place AI inside a reliable process.
AI and data architecture
MCP does not replace an analytics layer
Connecting an agent to Jira and Confluence improves retrieval and action. Large-scale management questions still require prepared, aggregated and governed data.
Transformation and adoption
Make change an observable outcome
Migrations, rationalisation, continuity of real journeys and adoption measured beyond go-live.
Platform transformation
Move to Cloud without moving all the debt
A useful Cloud migration does not mechanically reproduce the current state. It inventories, decides, rehearses and verifies the journeys that truly matter.
Platform transformation
A tool migration is only as valuable as the visibility it creates
Moving data is not enough. Success is measured by continuity of work, restored visibility and adoption by teams.
Discussion
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Does a publication connect with a platform, migration or AI challenge you are facing? Vincent would be glad to discuss it.
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