Tempo Software Debuted AI Tools at Momentum Conference
Tempo Software unveiled its new Loop platform and Workforce Intelligence app for project management in Austin.
Updated on Sept. 24, 2026 in Artificial Intelligence

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Tempo Software Chief Product Officer Kevin Nanney introduced the new Loop platform and Workforce Intelligence app during his keynote at the Reuters Momentum AI Conference. The event, held in Austin, brings together more than 500 senior executives.
Why it matters
Business leaders are currently struggling to balance the intense pressure to integrate AI into workflows with the simultaneous need to govern rising AI technology expenditures.
Tempo Software launched the Loop platform to apply AI changes directly into systems like Jira and Azure DevOps. The Workforce Intelligence app provides automated attribution of AI activity to specific Jira work items.
The players
Kevin Nanney
He serves as the Chief Product Officer at Tempo Software and brings 20 years of product leadership experience.
Tempo Software
The company provides project management software and currently supports over 30,000 customers and 350 global solution partners.
Reuters Momentum AI Conference
This annual industry gathering in Austin draws more than 500 senior executives to discuss artificial intelligence strategies.
The details
The new suite addresses findings from the company's 2026 State of AI in Portfolio Management report. The tools aim to automate project management tasks for the company's 30,000 customers.
Timeline
Tempo hosted an after-hours event for conference attendees on September 23, 2026.
Kevin Nanney delivered his keynote speech on September 24, 2026.
The Reuters Momentum AI Conference runs from September 24 through September 26, 2026.
The Tech Race
The introduction of these tools reflects a broader industry shift toward embedding generative AI directly into project management systems like Jira. This moves the market beyond simple AI chatbots toward automated workflow execution and governance.
Users of Jira and Azure DevOps can expect more automated documentation and AI-driven work item attribution through the new Tempo tools. These updates aim to reduce the time spent manually updating project statuses.
The takeaway
Organizations looking to scale AI implementation should focus on platforms that offer built-in governance alongside productivity features. Effective AI adoption requires moving from experimental pilot programs to integrated workflows that provide measurable ROI.
Further reading
Learn more about evolving industry standards at the Artificial Intelligence section.
More information
Find additional details on the new product features at the Tempo Software website.
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