Tempo Software Inc. launched Workforce Intelligence, an Atlassian Marketplace app designed to link artificial intelligence usage directly to specific Jira work items. The company, which sells planning and portfolio software for the Atlassian ecosystem, released this tool as part of its “Intelligent Portfolio Orchestration” suite. The application connects AI activity and its associated costs to the individual issues where the work was performed, then aggregates those records into larger projects.
Connecting AI spend to project delivery
Chief Executive Officer Vic Chynoweth explained that most organizations can identify their total AI spending but struggle to connect those investments to actual outputs. Tempo has tracked human-delivered work in Jira since 2007, and the company argues that agentic capacity now requires the same level of tracking. Leaders do not want a dashboard merely confirming AI usage; they want a verifiable record of the work produced.
Tempo’s new tool attaches inference application programming interface telemetry to the same work record as blended human and AI effort. A cost rollup sits on top of this data. Engineering managers can view cycle-time comparisons between AI-assisted work and non-assisted tasks, along with spending summaries and active users across strategic initiatives. The attribution runs natively inside Jira, meaning engineers do not need to log anything differently to participate.
Chief Technology Officer Shams Chynoweth said that standard observability tools can confirm an agent ran cleanly, but they lack the ability to identify whose work it was or what it cost against a funded issue. He noted that Workforce Intelligence correlates the session to the commit directly, providing a verifiable link. This addresses a gap in current monitoring solutions.
Related: Altman Warns of AI Control Concentration
Measuring value in a budget-conscious environment
Tempo released the software as budget scrutiny catches up with AI spending. Forrester Research Inc. reported in October that fewer than one-third of decision-makers can tie the value of AI to their organization’s financial growth. The firm expects enterprises to defer a quarter of planned AI spending to 2027.
Attribution data is described as a necessary foundation by Chris Marsh, research director at 451 Research by S&P Global. On its own, however, the data settles nothing. Marsh stated that organizations getting real value from AI are those that trained their people and set clear rules for using the tools, with adoption driven from the top.
The new app is available now in the Atlassian Marketplace. Tempo counts more than 30,000 customers, including major corporations like Cisco Systems Inc., Airbus SE and Oracle Corp. The company has a network of roughly 350 solution partners.
