Know and grow the ROI of your AI®

You've launched AI. Now lead it with confidence. Know exactly where it's having the biggest impact, what it's delivering, and what to prioritize next.

Trusted by enterprise AI teams at:

You've made the investment. Can you prove it's working?

We help you track how AI is being adopted, measure what it's returning, and find where to go deeper. So every dollar you spend is one you can account for.

Meet Nucleus: the enterprise platform behind your AI ROI

This is how you get the answers. Nucleus connects your workforce data and AI usage history to give you a clear prioritized view of:

Your biggest opportunities — ranked by potential impact so you invest where it matters

Your hidden superusers — who they are and what makes them effective

The gaps you're missing — where AI should be used more heavily but isn't

Your estimated savings — how much time and money AI is saving you today

No guesswork. Just the data to know exactly where to focus and invest with confidence.

Workhelix research has been featured in:

Workhelix has helped Nasdaq evaluate and quantify AI's impact across the company, leveraging deep, role‑level analytics to identify impact, capture value, and unlock new growth opportunities.

Michael O'Rourke, SVP of AI and Machine Learning Engineering

Workhelix gives us clear, data-backed visibility into how engineers are embedding AI into their workflows and driving quality adoption. The continuous insight shapes how we coach, develop, and upskill talent across the company.

Alyene Schneidewind, Chief Performance Officer

How to Capitalize on Generative AI

A guide to realizing its benefits while limiting its risks

Andrew McAfee, Daniel Rock, and Erik Brynjolfsson

Generative AI at Work

New AI tools have the potential to change the way workers perform and learn, but little is known about their impacts on the job.

Erik Brynjolfsson and colleagues

GPTs are GPTs: Labor Market Impact Potential of LLMs

We propose a framework for evaluating the potential impacts of large-language models (LLMs) and associated technologies on work

Daniel Rock and colleagues

Founding team

Erik Brynjolfsson

Co-Founder & Co-Chairman of the Board

Erik is the Director of the Stanford Digital Economy Lab, a Professor at the Stanford Institute for Human-Centered AI, and a Research Associate at the National Bureau of Economic Research.

Andrew McAfee

Co-Founder & Co-Chairman of the Board

Andrew is the Co-Director of the MIT Initiative on the Digital Economy and also the Principal Research Scientist at the MIT Sloan School of Management.

James Milin

Co-Founder and CEO

James brings experience and DNA from top technology firms including Google and Amazon.

Daniel Rock

Co-Founder and Director of Research

Daniel is an Assistant Professor at the Wharton School at the University of Pennsylvania.

FAQs

01 The work my company does is unique; how can you help me? 02 How long does your analysis take, what does it cost, and what do I get? 03 What data do you ask for with the internal analysis? 04 Can’t I do this task-based analysis myself? 05 We’re evaluating related work with a big consulting firm. Do you replace them or complement them? 06 Do you build models for us? 07 Do you recommend GenAI tools?