Flexera & Atlassian tie up to boost AI service data

Flexera has agreed a collaboration with Atlassian to integrate its technology intelligence into the Atlassian Service Collection, linking device and application data with service-management workflows.

The arrangement is intended to give IT, operations and business service teams more current information inside the tools they use to manage incidents, assets and services.

At the centre of the agreement is the connection of Flexera's technology data with Service Collection, Atlassian's service and operational management offering. This will combine information on devices and applications with the workflow tools used by support and operations teams.

The collaboration comes as software groups push AI agents deeper into workplace systems and service desks. That has increased scrutiny of the underlying data used by automation tools, particularly in large organisations with fragmented records across asset management, configuration management and procurement systems.

Flexera said many companies still struggle with incomplete inventories, disconnected systems, outdated configuration management database records and missing business context. It cited Gartner research showing organisations continue to face difficulties implementing CMDB systems, with a success rate of 29%.

Data problem

The companies are positioning the collaboration around a long-running issue in IT operations: service teams often lack a single reliable view of the technology estate they support. In practice, data on hardware, software, spend, contracts, usage and risk often sits in separate systems, making it harder to automate responses or assess the wider effect of a service issue.

Flexera said its Flexera One platform centralises technology and business data into a standardised view and enriches it with context including spend, contracts, adoption and risk. Atlassian said Service Collection is designed to connect teams and AI with context across IT, business and customer support.

The agreement reflects broader pressure on enterprise software suppliers to show how AI systems can work with existing operational data rather than in isolation. Vendors across workplace software and IT management increasingly argue that AI tools need access to accurate, current and connected data to handle service tasks reliably.

The issue has gained prominence as companies test AI agents for repetitive operational work, including ticket handling, incident response and internal support. Poor asset records or missing service relationships can lead to incorrect recommendations, slow approvals or automation errors repeated at scale.

Shamik Sharma, Head of Product, Service Collection at Atlassian, said the integration is intended to address that problem by improving the context available to both staff and software agents.

"AI can only be as effective as the context it can access. By sharing Flexera's data with Service Collection, we're enabling teams and AI agents a more comprehensive view of the assets, services, and relationships behind their work. We want to provide our enterprise customers faster resolution, informed, and service experiences grounded in accurate technical context," Sharma said.

Cost and risk

Flexera has framed the tie-up not only as a service-management integration, but also as a way to give customers more visibility into cost and risk across their technology estates. The company focuses on technology spend and risk intelligence, and argues that AI adoption can amplify existing blind spots if organisations lack reliable data on what they own, use and support.

That argument is likely to resonate with IT leaders trying to contain software and infrastructure costs while expanding the use of AI across support and operations. Asset sprawl, overlapping software subscriptions and limited visibility into usage remain common issues in large enterprises, especially after years of cloud and SaaS expansion.

Becky Trevino, Chief Product Officer at Flexera, said the collaboration is intended to improve decision-making by addressing those visibility gaps.

"AI doesn't solve bad data," said Becky Trevino, Chief Product Officer at Flexera. "Most organizations are still making decisions with incomplete visibility into their technology estate. When asset data is fragmented, outdated or disconnected from the work itself, AI simply scales those problems. Atlassian is building the future of service operations, and Flexera provides a comprehensive technology data foundation to power it. Together, we're helping customers make faster decisions, reduce risk, control costs and get more value from every technology investment."

The collaboration adds to competition among software providers seeking to become a central layer for enterprise service operations. For suppliers in this market, the challenge is not only to offer workflow tools or AI features, but also to connect those tools to dependable data on assets, services and business context.

For customers, the practical test will be whether the combined system reduces manual reconciliation between records, improves response times and gives service teams a clearer picture of the technology estate behind each request or incident. Gartner's figure on CMDB implementation suggests that remains a difficult problem across the industry.