Tempo Introduces Workforce Intelligence
Workforce Intelligence is an Atlassian Marketplace app that gives engineering leaders an accurate, work item-level view of AI activity across their organisation.
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Tempo Software, a company in Intelligent Portfolio Orchestration, has announced the launch of Workforce Intelligence, an Atlassian Marketplace app that gives engineering leaders an accurate, work item-level view of AI activity across their organisation, establishing the attribution solution to measure and verify the ROI of human and AI productivity outcomes.
Workforce Intelligence ties human and AI activity to specific Jira Stories, Epics, and Initiatives supported, with recorded performance and cost data to show how AI investments translate into realised business outcomes.
“Most organisations can tell you what they’re spending on AI, but they can’t tie those investments to what was delivered. Tempo has done this for human-delivered work for decades, and with agentic capacity ramping, expanding the aperture to the holistic modern workforce is requisite,” said Vic Chynoweth, CEO of Tempo.
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“Engineering and operational leaders don’t need another dashboard showing them AI is being used. What they need is an accurate record tying that usage to what AI has produced, down to the Jira issue their team was working on. That’s what Workforce Intelligence delivers.”
Workforce Intelligence is the newest addition to Tempo’s Intelligent Portfolio Orchestration suite.
This first-of-its-kind Atlassian Marketplace app combines inference API telemetry, blended human and AI effort, and cost rollup in one work record, providing engineering leaders with verified data about which AI tools are being used, how they’re impacting productivity, and what they’re delivering relative to cost.
At a time when fewer than one in three technology leaders can adequately associate AI’s value to financial growth, Workforce Intelligence gives them that answer.
“Observability can tell you an agent ran cleanly. It can’t tell you whose work it was, or what it cost against a funded issue. Workforce Intelligence correlates the session to the commit directly, so the answer is verifiable. It’s not a score, and it’s not a judgment call,” said Shams Chauthani, CTO of Tempo.
Beyond Usage Metrics
Workforce Intelligence helps organisations answer the questions executives are increasingly asking as AI investments grow:
- Are we using the right AI tools?
- Is AI improving how work gets done?
- What is AI actually costing us, and what value is it delivering?
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To answer those questions, Workforce Intelligence provides:
- A unified view of AI adoption and productivity, including cycle-time comparisons between AI-assisted and non-AI-assisted work.
- Visibility into AI investment, tracking AI costs, active users, and spend across strategic initiatives.
- Native attribution inside Jira, automatically connecting AI activity to work items, stories, and epics without requiring engineers to change how they work.
- Portfolio-wide insights that enable AI activity to inform planning, resource allocation, and execution across the enterprise.
“Attribution data is a necessary foundation, but on its own it won’t tell you whether an organisation is getting real value from AI,” said Chris Marsh, Research Director of Workforce Productivity & Collaboration, from 451 Research by S&P Global.
“What separates the organisations that do from the ones that don’t is organisational readiness: training, clear usage norms, and leadership that pushes adoption in a coordinated way. Tools that pair hard spend and delivery data with visibility into that readiness are addressing the right problem.”
