Workforce intelligence captures human effort and AI activity per Jira ticket, so finance can classify AI costs and prove ROI to the board.
Introducing Tempo Workforce Intelligence: See what your AI investment is delivering
Connect every AI dollar to the Jira work it funds – giving engineering and finance leaders one defensible view of what AI costs and what it returns.
Key Takeaways
Tempo's new tool ties AI tool spend to the specific Jira work it funds, so cost and outcome share the same record.
Engineering and finance leaders get one defensible view of AI cost and value, rolled up from work item to initiative.
Teams are facing pressure from two directions: On the one hand, they're expected to roll out AI coding tools to stay competitive. At the same time, they're being asked to prove the impact of that investment.
That pressure is now the norm, not the exception. In a 2026 Avalara survey of more than 1,500 CFOs and senior finance leaders, 92% said they feel pressure to prove their AI investments are delivering a return. Few can say where the impact is showing up, or whether it's showing up at all.
Today, we're launching Tempo Workforce Intelligence, a new addition to the Tempo suite built for AI spend management.
Leaders are being asked to justify AI spend
Engineering leaders are fielding a lot of questions from boards and CFOs this year, most of all: What are we getting back for what we're spending on AI?
It's a fair question, and most organizations aren't able to answer it right now. AI tool usage is scattered across a dozen different platforms, adoption dashboards, and spreadsheets that never quite give the complete picture. As a result, AI spend keeps piling up and the impact is only assumed – never proven.
Workforce Intelligence makes it possible to prove that impact. It connects AI tool usage directly to the Jira work items and initiatives it touches, so leaders can finally answer three questions with evidence instead of instinct:
Are teams using the right AI tools?
How is AI changing productivity?
What is AI costing versus what it's delivering?
Built for the conversation happening in the boardroom
Workforce Intelligence gives executive and finance leaders a defensible, single view of AI investment and spend across engineering, replacing the anecdotes and tool-level dashboards leaders have been stitching together on their own.
That view helps in four ways.
Invest with confidence. See which AI tools are truly delivering value across your engineering organization, backed by evidence.
Strengthen governance. Bring visibility to AI spend that would otherwise go untracked, so ungoverned costs don't turn into a budget or compliance surprise.
Report on AI investment with confidence. Human and AI cost sit in one defensible picture, giving finance and leadership what they need to report to the board and protect the bottom line.
Help teams prove their impact, not just their activity. Engineering managers and team leads get a way to show the real value their teams create with AI, turning a tool that could feel like surveillance into one that helps their work, and their case for more investment, get seen.
We built Workforce Intelligence to help teams make the case for the work they're already doing well, and for the investment they need to keep doing it.
Available today
Tempo Workforce Intelligence is available now on the Atlassian Marketplace. If you're an engineering, platform, or finance leader trying to answer the AI ROI questions your board keeps asking, this is where to start.
Frequently Asked Questions
Couldn't find what you need?Go to our documentation
Workforce Intelligence is a Tempo app for AI spend management. It connects AI coding-tool usage to the Jira work items and initiatives that usage touches, so engineering and finance leaders can see what AI costs and what it produces in one place.
It pulls token and compute cost straight from your AI providers' APIs, then attributes that cost across the work hierarchy, from work item to epic to initiative. The figure is verified, traced from the provider's bill down to the ticket.
Workforce Intelligence works with the major AI coding assistants, including GitHub Copilot, OpenAI Codex, and Claude Code, plus native connectors for Git. Cost data comes directly from each provider's API.
Workforce Intelligence serves the leaders accountable for AI spend and the teams doing the work. A CTO can trace AI cost to an initiative and the outcome it funded, and finance can export that same view for the board. For team leads and engineers, it credits the value of their AI-assisted work automatically, detected from the IDE and Git.
No. Workforce Intelligence measures the cost and value of AI-assisted work, not the performance of individuals. It detects AI usage automatically from the IDE and Git, so engineers get accurate credit without logging hours or changing how they work.
Workforce Intelligence is available now on the Atlassian Marketplace, with a free 30-day trial you can run on your own Jira and AI tools. Engineering, platform, and finance leaders can begin right there, especially anyone under pressure to answer the board's questions about AI ROI.
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