List of Atlassian Rovo Customers
Sydney, 2000, NSW,
Australia
Since 2010, our global team of researchers has been studying Atlassian Rovo customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Atlassian Rovo for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Atlassian Rovo for Chatbots and Conversational AI include: Arthrex, a United States based Life Sciences organisation with 7500 employees and revenues of $3.20 billion, Procore, a United States based Professional Services organisation with 4203 employees and revenues of $1.15 billion, Pythian, a Canada based Professional Services organisation with 500 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Atlassian Rovo, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Atlassian Rovo customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Arthrex | Life Sciences | 7500 | $3.2B | United States | Atlassian | Atlassian Rovo | Chatbots and Conversational AI | 2024 | n/a | Arthrex implemented Atlassian Rovo in 2024 to provide conversational AI assistance for its internal application and engineering teams, aligning the deployment with the Chatbots and Conversational AI category. The implementation focused on delivering customizable, intuitive AI interactions to surface documentation and generate contextual summaries, with Atlassian Rovo positioned as the primary conversational layer across team workflows. Atlassian Rovo was configured to support contextual document retrieval, natural language summarization, and interactive question and answer flows tailored to application and engineering use cases. Configuration emphasized role aware prompts and conversational templates to surface concise summaries directly alongside knowledge assets, ensuring the Atlassian Rovo assistant could respond with relevant content from documentation and ticket threads. Arthrex integrated Atlassian Rovo with its Atlassian Cloud applications such as Confluence and Jira to surface relevant documentation and summaries across issue workflows and knowledge pages. Operational coverage centered on application and engineering teams, embedding Rovo into ticket triage and knowledge lookup paths to reduce friction in finding technical guidance and design notes. Governance focused on controlled configuration of conversational access and content scope, with staged rollout to application and engineering groups and configuration management for prompt templates and content sources. Arthrex reports that Atlassian Rovo improved team productivity for application and engineering teams by delivering contextual, searchable assistance within existing Atlassian Cloud workflows. | |
|
|
Procore | Professional Services | 4203 | $1.2B | United States | Atlassian | Atlassian Rovo | Chatbots and Conversational AI | 2024 | n/a | In 2024 Procore deployed Atlassian Rovo to improve engineering enablement and knowledge discovery, using the Chatbots and Conversational AI capabilities to help teams find information faster and reduce cognitive load. The implementation targets engineering and knowledge worker workflows, positioning Atlassian Rovo as an in-flow conversational layer for content discovery and contextual assistance. Procore uses Atlassian Rovo to surface answers and guidance directly where engineers work. The implementation leverages Rovo Search, Rovo Chat, and Rovo Agents across Atlassian Cloud tooling, integrating conversational retrieval with Jira issue data and Confluence content to support natural language queries and agent-driven task assistance. Architectural scope centers on Atlassian Cloud integration and indexing of internal documentation and issue records, enabling search relevance tuning, conversational context routing, and agent orchestration tied to project data. Configuration emphasis included content access controls, relevance and query routing settings, and agent behavior profiles aligned to engineering enablement needs. Operational governance focused on engineering enablement and knowledge discovery workflows, with rollout organized to keep users in the flow of existing Atlassian tools while introducing conversational search and agent interactions. Outcomes explicitly stated by Procore include faster information retrieval and reduced cognitive load for teams, achieved through Rovo Search and chat driven access to Jira and Confluence content. | |
|
|
Pythian | Professional Services | 500 | $80M | Canada | Atlassian | Atlassian Rovo | Chatbots and Conversational AI | 2024 | n/a | In 2024 Pythian deployed Atlassian Rovo to centralize enterprise knowledge access, using the Atlassian Rovo application as a Chatbots and Conversational AI layer across its toolset. The implementation was positioned to reduce time spent searching for information by surfacing answers from both Atlassian Cloud sources and non-Atlassian content repositories. The deployment leveraged Rovo Search and Agents capabilities to index and query cross-application content, with configuration focused on semantic search, conversational query handling, and agent-driven knowledge retrieval. Administrators tuned connectors and relevance settings to enable natural language queries and to route conversational responses to the appropriate knowledge records within Atlassian and external sources. Integrations explicitly included Google Workspace alongside Atlassian Cloud, enabling Rovo to link content across email, documents, and Atlassian pages for unified answer surfaces. Operational coverage emphasized knowledge management and service delivery functions, supporting consulting, support, and engineering teams with conversational access to dispersed documentation and records. Governance work centered on defining indexing scope, access controls, and content relevance policies to align search results with role-based permissions and compliance needs. Pythian's use of Atlassian Rovo therefore connected the Chatbots and Conversational AI application to practical business functions, shortening search workflows and improving enterprise knowledge access. |
Buyer Intent: Companies Evaluating Atlassian Rovo
- Ardmore Road, a United States based Banking and Financial Services organization with 11 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||