AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Atlassian Rovo Customers

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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.
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Buyer Intent: Companies Evaluating Atlassian Rovo

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Atlassian Rovo. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Atlassian Rovo for Chatbots and Conversational AI include:

  1. Ardmore Road, a United States based Banking and Financial Services organization with 11 Employees

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