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Atlassian customers: 20% more Jira work items completed by adopters

Atlassian customers (software customers) reported this on 6 Aug 2026 in shareholder letter (source). It belongs to the data and ontology layer.

What they built

Rovo agents on the Teamwork Graph, which links goals, Jira work, Confluence knowledge, people and code into one graph per customer.

The result

Rovo adopters complete 20% more Jira work items and create/edit 25% more Confluence pages than non-adopters.

The number covers adopters vs non-adopters across customers; correlational, self-selected.

The layer: data and ontology

Shared definitions of your metrics and records, used by both staff and agents.

  • One definition for every metric that matters
  • Linked objects across ERPs, CRM and documents
  • A log of human decisions and their reasons

Read the guide to data and ontology.

More cases on data and ontology

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    to scope a supply shortage, down from 3 months and 30 people

    An enterprise data layer on Palantir Foundry unifying 33 ERPs (~3.5M data connections), feeding a Sector Control Tower for executives and a Program Digital Cockpit for program teams (source).

  • 27 days

    faster time-to-sign for candidates

    A recruiting and hiring agent in Microsoft Copilot Studio, grounded in the Celonis Context Model (process-mining data on how hiring actually flows), used by recruiters and hiring managers (source).

  • 2 months

    for a 1% forecast-error gain that last took a year

    A Genie-based research agent on Databricks that answers finance and store-operations questions about the labour-demand forecast, with explanations, replacing data scientists answering stakeholder emails (source).

We map how your company runs, pick the first processes with your leadership team, and put them on agents.