Workforce Intelligence by Tempo- AI Spend Management in Jira

WFI has made it much easier to see where our team's time is actually going. Before this we were exporting worklogs and building our own reports. Now the capacity and utilisation picture is just there. Happy to recommend,

Really helpful app for tracking AI spends in Jira. It links costs directly to work items, which makes budgeting and reporting much clearer. The insights are easy to understand and have already improved how our team plans.

It really helps with the entire SDLC

Most engineering intelligence tools stop at the team or tool level. Workforce Intelligence goes down to the individual Jira work item, logging human effort and AI activity as separate entries on the same issue, then rolling cost up from issue to epic to portfolio. If Jira is your system of record and finance keeps asking what the AI spend bought, that granularity is the reason to look here. Of the three metrics it leads with, cost per work item is the one worth building on, segmented by work type and by model. Cycle time and adoption both compare AI-assisted work against non-AI work happening in the same window, which holds up while a team is mid-transition and goes quiet once there is no non-AI work left to compare against. The attribution gap is handled better than I expected. The executive view splits spend into total, in-scope, and attributed, and money that cannot be tied to a ticket still rolls up to a team. A non-engineering team showed real spend with no cycle time data at all, which is a fair way to show the limit instead of papering over it. Plan on this being a reporting layer rather than something you configure weekly. Your side of it is keeping assignment, issue type, and linking clean enough for the attribution to mean anything.