
Spend tied to every epic
Every dollar maps to tasks, stories, and epics, not just code output or tool sessions.
Your engineers use AI every day, but none of it shows up in Jira or any report you can take to the board. Tempo connects that spend to the work it delivered.



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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.

Built inside Jira Cloud, not connected from the outside.
Cost pulled straight from provider APIs and tied to the work item.

Spend rolls up epic to initiative to OKR, not just engineering output.
The first Jira-native layer to put human time and AI cost on one record.
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.

Every dollar maps to tasks, stories, and epics, not just code output or tool sessions.

AI usage comes straight from provider APIs – Anthropic, OpenAI, GitHub Copilot – not guessed from metadata.

Structured cost data at the work-item, story, and epic level, formatted for finance from day one.
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 time and AI activity live on the same work item – the only Jira-native view that combines them.

Cycle-time signals show which teams get real lift from AI. Built to prove impact, not manage activity.

Attribution runs in the background from IDE and Git activity. No timesheets, no new habits.
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.

Compare tools and models on your own cost and delivery data, not a vendor benchmark.

Time, capacity, and AI cost roll up together, not across three systems that never agree.

Surface untracked AI spend before it becomes a budget or compliance surprise.

“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, Strategic Practice Lead, Praecipio
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





One source of truth for the people who fund AI, deliver with it, and answer for it.






Tempo tools integrate with tools your organization already uses, right out of the box.
Ensure your company's data is completely secure and that you're in compliance with the latest standards.



AI spend management built on the same Jira-native layer thousands of teams trust for time, cost, and capacity.

A powerful team resource management tool designed to optimize capacity planning and project management in Jira
Learn moreTempo’s intuitive automation and Jira-native design make it the most trusted time tracking tool for enterprise organization.
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Monitor projects and portfolios to get simple, clear, and real-time views of your costs, budgets, and profits that can be shared throughout your entire organization.
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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 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 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 does it inside Jira.
Tempo’s AI spend management is rolling out now. Request early access to put attribution to work on your own Jira and AI tools, and help shape where it goes next.

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
Request early access and be among the first to connect AI spend to the work it delivers.