Resources/ News / Workhelix Launches Nucleus, the First Platform to Close the Loop Between AI Opportunity and Outcomes

News Aug 2026 · Businesswire · 4 min read

Workhelix Launches Nucleus, the First Platform to Close the Loop Between AI Opportunity and Outcomes

Nucleus shows leaders where AI can create the most value, tracks whether it does.

AI ROI Product

Workhelix today announced Nucleus, a platform that connects AI opportunity assessment to measured outcomes in a single system of record.

The gap between adoption and return is not evidence that the technology underdelivers. It is evidence that adoption is being measured where it is easy to measure and return is being measured nowhere in particular. Organizations that close the gap generally did one unglamorous thing first: they agreed on the denominator.

Availability

Nucleus is available to enterprise customers now, with onboarding that begins from an existing task inventory where one exists and builds one where it does not. Pricing is per-organization and quoted on request.

Leaders do not lack enthusiasm for AI. They lack a defensible denominator.

#workhelix, company statement

3.4× spread in measured time saved between the top and bottom quartile of tasks
62% of surveyed programs could not state a pre-rollout baseline
1 qtr typical time to a detectable signal on high-frequency tasks

About Workhelix

Workhelix helps large organizations locate, sequence, and measure the return on their AI investments using task-level analysis developed by its academic founders. The company works with enterprises across insurance, financial services, healthcare, and industrials.

Media contact

Press enquiries: press@workhelix.example. Executive headshots and product imagery are available on request.

Related research

[1] Brynjolfsson, E., Rock, D., Syverson, C. Artificial Intelligence and the Modern Productivity Paradox. NBER, 2018.

[2] Brynjolfsson, E., Li, D., Raymond, L. Generative AI at Work. NBER Working Paper, 2023.

[3] Eloundou, T., Manning, S., Mishkin, P., Rock, D. GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. arXiv, 2023.

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