Tempo ties AI spend to Jira work items with Workforce Intelligence
Enterprises can finally answer a question they've been too embarrassed to ask aloud: exactly what did that AI token bill buy? Tempo, the Atlassian ecosystem's planning-and-portfolio software maker, launched Workforce Intelligence on Tuesday, an app that connects AI usage and its cost to the specific Jira ticket the work was done on.
Tempo launched Workforce Intelligence, an Atlassian Marketplace app that attaches AI activity and its cost to the individual Jira work item it supported. The tool, the newest piece of Tempo's "Intelligent Portfolio Orchestration," captures both human effort and agentic activity on a single work record, then rolls those up to the larger bodies of work they belong to — with cost and performance figures sitting on the same ticket.
The pitch lands as budget scrutiny finally catches up with the AI buildout. Tempo chief executive Vic Chynoweth put it bluntly: most organizations can say what they spend on AI but can't tie those investments to what was delivered. Leaders don't want another dashboard confirming AI is being used, he said — they want a verifiable record of what it produced. Inference API telemetry lands in the same work record as blended human and AI effort, with a cost rollup on top; engineering managers get cycle-time comparisons between AI-assisted work and everything else, plus a view of AI spending, active users, and cost across strategic initiatives. Attribution runs natively inside Jira, so engineers log nothing differently.
The context is hard to ignore. Forrester said last October that fewer than one-third of decision-makers can tie the value of AI to their organization's financial growth, and it expects enterprises to defer a quarter of planned AI spending into 2027. Chris Marsh, research director at 451 Research, called attribution "a necessary foundation" but cautioned it settles nothing on its own — the organizations getting real value from AI, he argued, are the ones that trained their people and set clear rules for using the tools.
Tempo is a consequential player in this niche: it counts more than 30,000 customers, including Cisco, Airbus, and Oracle, and has tracked human-delivered work in Jira since 2007. The question it's now answering is the messy one that agentic AI is creating at scale — when software agents do the work, who do you credit, and how do you price it? Workforce Intelligence's answer is to treat AI as just another worker on the ticket, wearing out a budget line the same way a human does. That's a practical, unglamorous framing that speaks to how enterprises actually think about adoption. Expect more vendors in the AI-spend-observability lane, because the funding tap is about to close for everyone who can't produce this receipt.
What to watch: whether Tempo's 30,000-customer base actually adopts the app, and whether broader CI/CD platforms follow its "attribute per work item" model.
Do you know how much your team's AI use actually costs — per ticket? Tell us in the comments.
