Workhelix

Workhelix is a technology and services company that helps enterprises quantify and increase the value of their AI investments. Its platform consolidates usage and value data from AI tools in use across an organization — including ChatGPT, Claude and GitHub Copilot and other engineering tooling — into a single view of AI ROI, so leaders can track the progress and impact of an AI transformation without assembling separate tool dashboards.

The product, branded Nucleus, joins HRIS data, AI usage data and prompt data to show adoption, productivity opportunities and business impact by team, tool and use case. It ranks opportunities by potential impact, identifies internal power users, highlights coverage gaps where AI could be applied but is not, tracks agents, skills and custom GPTs and their users, and estimates time and money saved. Two proprietary benchmarks are used: an AI Assessment based on what a company's roles could be capturing, and a Power-User benchmark set by the performance of an organization's most effective employees. The underlying method is a research-driven, task-based analysis covering more than 250,000 work tasks, used to locate where AI can create the most value and to produce a data-backed deployment roadmap.

The company states a mission of identifying and measuring the benefits of disruptive technologies with rigor and clarity, and a vision of helping organizations and their people thrive amid rapid change. Its stated internal principles include customer obsession, extreme ownership, bias for action, debate and commitment, evidence-based decision-making, and routine internal use of AI tools.

Founding story

The founding team consists of Erik Brynjolfsson (Co-Founder and Co-Chairman), Andrew McAfee (Co-Founder and Co-Chairman), James Milin (Co-Founder and CEO) and Daniel Rock (Co-Founder and Director of Research) — economists and researchers whose published work on AI, productivity and the labor market underpins the company's task-based approach.

Business model

Workhelix is described as a tech-enabled services company: it sells the Nucleus SaaS platform to enterprises and pairs each engagement with two dedicated teams — a forward-deployed strategy team that prioritizes findings, runs playbooks and holds ongoing check-ins tied to customer business metrics, and an engineering team. The website's demo request form segments prospects by company size from fewer than 1,000 employees to more than 10,000 employees.

Sale of the Nucleus enterprise platform combined with accompanying strategy and engineering services delivered per engagement; specific pricing is not disclosed publicly.

Traction

Customers cited include Nasdaq, Wayfair, Coursera and BAYADA plus other publicly traded companies; Nasdaq's SVP of AI and Machine Learning Engineering, Michael O'Rourke, describes using Workhelix to evaluate and quantify AI's impact across the company through role-level analytics.

Latest developments

In August 2026 Workhelix announced Nucleus, described as a platform linking identified AI opportunity to realized outcomes by tracking dollars and hours saved and indicating where adoption should grow next, alongside a webinar with Erik Brynjolfsson, Andrew McAfee and James Milin on the gap between enterprise AI adoption and returns.