Workforce Intelligence for Jira
AI spend management, with the proof attached
Your engineers use AI every day, but none of it shows up in Jira or any report you can take to the board. Tempo Workforce Intelligence connects that spend to the work it delivered.
Tempo is trusted by 30,000+ global companies
Now our CTO knows what our AI spend delivers.
Tempo CTO Shams Chauthani couldn't tell finance what the company's AI spend produced. Now he can attribute 88% to specific work items in Jira. The guesswork is gone. The value is proven.
Native to Jira
Built inside Jira Cloud, not connected from the outside.
Verified, not estimated
Cost pulled straight from provider APIs and tied to the work item.
Attribution up the hierarchy
Spend rolls up epic to initiative to OKR, not just engineering output.
Human and AI together
The first Jira-native layer to put human time and AI cost on one record.
Visibility
See how Tempo Workforce Intelligence turns AI spend into proof of value
Most AI spend disappears into tool bills and code metrics that estimate activity, not value. Tempo connects every dollar to the epics it funded, including the spend that is not tied to any work at all.
Spend tied to every epic
Every dollar maps to tasks, stories, and epics, not just code output or tool sessions.
Telemetry from the source
AI usage comes straight from provider APIs – Anthropic, OpenAI, GitHub Copilot – not guessed from metadata.
Finance-ready exports
Structured cost data at the work-item, story, and epic level, formatted for finance from day one.
Governance
How Workforce Intelligence ties AI cost to the work it delivered
What did this work cost with a person, an agent, or both? Tempo puts human effort and AI cost on the same work item, so you control what gets targeted for AI spend, and how much.
Human and AI, one record
Human time and AI activity live on the same work item – the only Jira-native view that combines them.
Coaching, not surveillance
Cycle-time signals show which teams get real lift from AI. Built to prove impact, not manage activity.
No change for engineers
Attribution runs in the background from IDE and Git activity. No timesheets, no new habits.
Optimization
Compare, then decide
Team against team. Quarter against quarter. AI-assisted work against everything else, measured on the delivery signals your teams already trust, so a lagging team is not dismissed as slow AI adoption.
Right model, right task
Compare tools and models on your own cost and delivery data, not a vendor benchmark.
One connected view
Time, capacity, and AI cost roll up together, not across three systems that never agree.
Catch ghost spend
Surface untracked AI spend before it becomes a budget or compliance surprise.
Proof from the teams already running it.
Tempo has the first tool I've seen make that connection genuinely easy: cost tied to strategy, rolled up cleanly for executives to actually use, without disrupting the teams doing the work.
Michiko Quinones
Three questions every leader is being asked
The board is not asking for another dashboard. They are asking whether the AI investment is working. Tempo is built to answer the three questions behind that pressure:
Are we using the right AI tools?
Is AI actually improving productivity?
What is AI costing us – and what did it deliver?
Get up and running faster with the leading implementation partners
Built for everyone accountable for AI spend
One source of truth for the people who fund AI, deliver with it, and answer for it.
Connect with the systems you use every day
Tempo tools integrate with tools your organization already uses, right out of the box.
Built for everyone accountable for AI spend
AI spend management built on the same Jira-native layer thousands of teams trust for time, cost, and capacity.
AI spend management means tracking, attributing, and governing what you spend on AI tools, and tying it to the work it produces. For engineering teams, that means connecting the cost of AI coding tools like GitHub Copilot and Claude Code to the Jira epics they support, so you measure return instead of estimating it.
You measure it by connecting what AI costs to the work it delivered, not by counting licenses or tool activity. Tempo Workforce Intelligence captures AI usage at the work-item level, ties it to the epics it funded, and compares cost against delivery outcomes.
It starts with knowing which AI tools are in use, what they cost, and what work they support – and 47% of large organizations do not (Protiviti, 2026). Tempo Workforce Intelligence brings AI spend into one Jira-native view and connects it to the epics it funded.
Because the spend is scattered and disconnected from the work. 89% of enterprises have adopted AI tools, but only 23% can measure the return (Larridin, 2025). AI spend lives in vendor invoices, not in Jira, so cost and delivery never meet.
FinOps and cloud cost tools track infrastructure and token spend at the account level. AI spend management connects tool spend to delivered work, the epics it funded, so you can answer the ROI question, not just the cost question. Tempo Workforce Intelligence does it inside Jira.
Yes. Tempo Workforce Intelligence delivers AI spend management inside Jira, available now on the Atlassian Marketplace. Start a free 30-day trial on your own Jira and AI tools, or book a demo with a solutions expert to see it live first.
Go to our documentation.
PMO Resources
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Turn strategy into delivery: Optimize time, people, and risk in Jira
Jira holds the potential to become a central platform for strategic project execution.
Keep projects on track with the planned vs actual report
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