How Loom turns customer support into a driver of business growth with Atlassian Customer Service Management
Loom resolves 80% of support inquiries with AI and cut churn by 11% using Atlassian CSM — turning customer support into a growth engine.
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Atlassian
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Teaching AI to speak our design language
Atlassian's use AI to design and build every day, but AI tools are only as good as the context they have. We translated the Atlassian Design System’s document...
‘Organizations are layering AI on top of existing chaos’: AI is speeding up work for individual employees, but businesses-wide productivity is floundering
A study from Atlassian aligns with Accenture research showing individual productivity is improving, but business-wide gains aren’t being realized
Build AI-powered Forge apps with Atlassian-hosted LLMs
The Forge LLMs API is now in Preview. Call Claude models directly in Forge to build AI-powered features without sending data off Atlassian.
Zacks Investment Ideas feature highlights: Atlassian, Datadog, Docusign, Intuit and Snowflake
Atlassian, Datadog, Docusign, Intuit and Snowflake have been highlighted in this Investment Ideas article.
How We Cut up to 80% of Engineering “Chores” Using AI Agents in Jira
Flaky tests and stale feature flags drain engineering time. See how Atlassian uses AI agents in Jira to automate both.
From alert noise to action: How 24 Hour Fitness transformed IT operations with Jira Service Management and Rovo Ops
See how 24 Hour Fitness cut ITSM costs 37%, eliminated alert noise, and built full change-to-incident traceability with Jira Service Management and Rovo Ops.
Stop counting who uses AI. Start finding who’s transforming with it.
What Atlassian learned from redefining its AI superuser metric three times in 18 months — and the traits every CHRO should be hiring for now.
The AI-native SDLC is paying off: 19% more PRs and 2–3 hours saved per developer per week
Atlassian's analysis of 3,400 repositories across 2,500 customers reveals that teams adopting an AI-native software development lifecycle with Rovo Dev merge 19% more pull requests per month and save 2–3 hours of developer time per week. The article introduces a four-dimension measurement framework—speed, efficiency, quality, and satisfaction—for evaluating AI's real impact on developer productivity, and argues that engineering leaders should shift from tracking AI usage metrics to measuring productivity outcomes across the full SDLC: Plan, Orchestrate, Code, Review, and Operate.
Atlassian (TEAM) Soars 15% Ahead of Business Updates
Atlassian saw its share prices climb by 15.35 percent on Friday to finish at $107.61 apiece, as investor funds poured back into software stocks amid a flurry of...
5 Stocks With Explosive Returns
Atlassian saw its share prices climb by 15.35 percent on Friday to finish at $107.61 apiece, as investor funds poured back into software stocks amid a flurry of...
Atlassian’s Customer Zero Strategy: Build Products From The Inside Out
Atlassian's Team '26 recap: how the company's internal AI transformation became a customer playbook, covering Rovo, the Teamwork Graph, and agentic workflows.
The future of product craft: Why AI-native PMs build better products
AI is changing the way product managers work. Here are three practices AI-native PMs at Atlassian are rewiring how teams ship better products.
Atlassian Design System: Building the context engine for the AI era
Design systems are no longer ‘just’ about consistent UI and component libraries. They’re strategic capabilities that harness design intent, drive coherenc...
Dynatrace MCP Server for Atlassian Rovo: Investigate production problems without leaving Jira or JSM
The Rovo agent answers any relevant questions, calls the appropriate Dynatrace tools, and posts the results back to the Jira workspace.