Tempo Software introduced Workforce Intelligence, a tool that integrates AI activity and costs into Jira issue tracking, allowing organizations to directly link AI investments to work outcomes and improve portfolio management.
- Connects AI usage and costs to Jira issues
- Provides cost and performance comparison of AI-assisted work
- Integrates natively with Jira for seamless tracking
What happened
Tempo Software has launched Workforce Intelligence, an app designed for the Atlassian Marketplace that ties artificial intelligence use and its associated costs directly to the individual Jira issues where the AI-assisted work occurred. This new addition extends Tempo's Intelligent Portfolio Orchestration suite by merging AI activity, human effort, and cost data in a unified record attached to Jira work items.
The solution tracks AI inputs alongside human contributions on Jira tasks and aggregates this information at bigger project levels. This integration delivers a comprehensive view of cost and performance metrics, allowing teams to see not just AI usage but what it produced relative to the spending incurred. The app’s architecture ensures that engineering managers receive real-time analytics on cycle times and AI spend across initiatives without changing existing Jira workflows.
Why it matters
Historically, many organizations have difficulty connecting AI budget expenditures to tangible business outputs. Tempo CEO Vic Chynoweth highlighted that while companies can often report overall AI spending, they struggle to attribute those costs to specific deliverables or value generated. Workforce Intelligence addresses this accountability gap by embedding cost and usage data at the task level, making AI investment impact transparent and measurable.
This development is timely as enterprises face increased scrutiny on AI budgets and demand clearer evidence of return on investment. Forrester Research found that fewer than one-third of AI decision-makers can link AI projects with financial growth, prompting many to delay AI expenditures. Tempo’s solution now offers a data-driven foundation for assessing AI’s effectiveness, supporting better resource allocation and governance.
What to watch next
The adoption of Workforce Intelligence will likely accelerate as organizations seek to integrate AI governance tightly within existing project management ecosystems like Jira. Tempo’s approach of native integration suggests a strong potential for adoption among its 30,000+ customers, including major firms such as Cisco, Airbus, and Oracle, especially given the ease of use without additional tracking burdens on engineers.
Going forward, the key indicators of success will include how effectively companies utilize AI attribution data to optimize workflows, enforce usage policies, and justify AI spending reductions or expansions. Momentum may also build around combining Workforce Intelligence with training programs and leadership frameworks, as noted by industry analysts, to fully unlock AI’s operational and financial benefits.