The introduction of Atlassian Rovo marks a turning point in how we interact with enterprise knowledge in the Atlassian Cloud. However, for Swiss companies – especially in highly regulated sectors such as finance, insurance, or the public sector – adopting AI is not merely a functional issue. It is a matter of digital sovereignty.
In this article, we analyze how to implement Atlassian Rovo in compliance with Swiss law and why the AWS Zurich region plays a central role in this.

Unlike Jira or Confluence, which primarily serve as data storage, Rovo is an intelligent orchestration layer. It aggregates information across silos in the so-called Teamwork Graph.

The Teamwork Graph stores not only texts but highly sensitive metadata and relationship networks of your projects. Atlassian now allows this index to be specifically pinned in the "Switzerland" region. This means:
Rovo inherits the security architecture of the Atlassian Cloud. For Swiss suppliers in the automotive industry, it is important that since the infrastructure is already TISAX-compliant audited, Rovo can be seamlessly integrated into existing ISMS frameworks.
The introduction of Rovo requires an update of your data protection impact assessment in accordance with Art. 22 nFADP. Particular attention is given to the LLM providers (OpenAI, Google Vertex AI, Anthropic) as subprocessors of Atlassian.

A critical point for Swiss enterprise customers is the distinction between storage (Data at Rest) and processing (Data in Transit).
While standard AI requests are often sent via encrypted paths to external LLM instances (mostly in the USA), Atlassian offers an exclusive solution for Cloud Enterprise customers: Atlassian-hosted LLMs.
Here, AI processing takes place within Atlassian's own cloud trust boundary (VPC). The data therefore never leaves Atlassian's controlled infrastructure – a game changer for banks and authorities.
When you connect SharePoint, Google Drive, or Slack, Rovo extracts content and stores the transformed indexes in the Zurich region. Permission synchronization (ACLs) happens in real time, so Rovo only "sees" what the user is manually allowed to open.
AI is a magnifying glass for existing permission gaps. Before rolling out Rovo, a "Permission Cleanup" phase is essential.
Risk of "Dark Data":
If a user mistakenly has access to HR areas in Confluence, Rovo will present this information in summaries.
Atlassian Rovo offers Swiss companies the opportunity to efficiently utilize fragmented knowledge. Thanks to data residency in Zurich and Atlassian-hosted LLMs, the technological hurdles for highly regulated industries have been removed.
However, success depends on preparation: clean data, clear governance, and gradual enablement of your teams are the cornerstones for deploying AI.
Would you like to plan the migration of your Atlassian instance to the Zurich region or need support updating the DPIA for Rovo? As an Atlassian partner, we are happy to assist you in making your cloud infrastructure ready for the AI future. Contact us for an initial consultation!
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