KUALA LUMPUR, Sept 25 (Bernama) -- Tempo Software Chief Product Officer (CPO), Kevin Nanney highlighted the growing need for enterprises to connect artificial intelligence (AI) spending with measurable business outcomes at the Reuters Momentum AI Conference in Austin, Texas.
Nanney discussed how enterprises can manage AI adoption while tracking its costs, outcomes and alignment with strategic priorities. He also shared examples from his experience at Tempo, including how competing initiatives can reveal underlying efficiency issues and how changes in measurement can help guide resource-allocation decisions.
In his keynote, titled “Spend Is Tracked. Outcomes Are Not. The AI Accountability Distance Nobody Has Closed”, Nanney outlined three areas for enterprise leaders: tracking the cost and contribution of AI agents, establishing a governed operating model for human and AI work, and adopting more adaptive planning to identify and address strategic drift.
Tempo’s 2026 State of AI in Portfolio Management report found that 91 per cent of surveyed organisations are piloting or actively using AI in project delivery, while 26 per cent use AI to prioritise or reprioritise work.
In a statement, Tempo said the findings highlight a gap between AI adoption and AI-informed decision-making, reinforcing the need to align strategy, investment and execution across human and AI workforces.
Nanney’s presentation followed Tempo’s launch of Loop, an AI-native Intelligent Portfolio Orchestration platform designed to provide enterprises with a continuously updated view of time, capacity, cost and execution across existing work systems.
The company also recently launched Workforce Intelligence, which attributes AI activity to Jira work items, epics and initiatives.
Tempo said these capabilities are designed to help enterprises coordinate human and AI work while improving visibility into portfolio execution and resource allocation.
The 2026 Reuters Momentum AI Conference, held in Austin from Sept 24 to 26, brought together enterprise leaders focused on AI implementation, business value and investment returns. More than 500 senior executives were expected to attend.
-- BERNAMA
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