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Boston-based Tempo Software announced the release of Workforce Intelligence, marking the introduction of an attribution solution designed to measure and verify the return on investment for productivity results generated by human workers and artificial intelligence. Available now on the Atlassian Marketplace, the new application connects AI usage, human effort, and cost directly to the Jira work it supports, giving engineering and operations leaders precise data on work-unit-level AI activities across an enterprise.
Tempo Software Launches Workforce Intelligence on Atlassian Marketplace to Track AI ROI
“The software is the newest addition to Tempo’s Intelligent Portfolio Orchestration suite,” according to the official product launch materials. The tool combines inference API telemetry data, a blend of human labor and AI deployment, and a cost summary into a single work record. This setup supplies engineering leaders with verified data regarding which AI tools teams use, how those tools affect productivity, and what value they deliver relative to their cost.
Addressing Enterprise AI Visibility Gaps
According to Tempo CEO Vic Chynoweth, most organizations track how much they spend on artificial intelligence, but fail to tie those investments directly to tangible business outcomes. “Führungskräfte aus den Bereichen Engineering und Operations benötigen kein weiteres Dashboard, das ihnen anzeigt, dass KI eingesetzt wird,” Chynoweth stated, noting that leaders require documentation linking AI use down to the specific Jira ticket an engineering team handled.
Industry data cited in the launch indicates that fewer than one in three technology leaders can properly connect the value of artificial intelligence to financial growth. Workforce Intelligence attempts to bridge this gap by offering native attribution inside Jira. The app automatically maps AI activities to work items, stories, and epics without requiring developers to alter their standard workflows.
Technical Architecture and Core Features
Tempo CTO Shams Chauthani explained that traditional observability tools show whether an agent performed properly, but fail to reveal who executed the work or what costs attached to a funded problem. “Workforce Intelligence korreliert die Sitzung direkt mit dem Commit, sodass die Antwort überprüfbar wird,” Chauthani said, emphasizing that the application provides a verifiable record rather than a subjective score or judgment call.
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To evaluate rising AI expenditures, the platform equips technology organizations with specific operational capabilities:
- A unified overview of AI deployment and productivity, featuring cycle-time comparisons between AI-assisted and non-AI-assisted work.
- Complete transparency regarding AI investments, tracking active users, direct costs, and expenditures linked to strategic initiatives.
- Native Jira integration that connects AI activities to corresponding Jira stories and epics.
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