FA Company Spotlight: Workhelix
Workhelix isn't rewriting the AI playbook, it's snipping its edge, task by razor-sharp task, and turning enterprise hype into a ledger of real-world wins.
When Erik Brynjolfsson and Andrew McAfee joined forces with The Wharton School's Daniel Rock and cloud leader James Milin, they built a mission-level instrument. Brynjolfsson's digital economy rigor meets McAfee's Massachusetts Institute of Technology data-driven audacity. Rock brings econometric precision. Milin stitches it all together with enterprise grit forged at AWS, Google, and Reserved.ai.
They launched Workhelix on 2024 with one simple charge: locate where generative AI delivers and measure it. The platform parses hundreds of thousands of tasks across organizations, pulls from 450M public datapoints spanning 20K+ job roles, and scores outcomes down to the nanometer of productivity.
Workhelix's method flows in 3 acts: plan, deploy, monitor. First, the platform auto-discovers AI's high-yield zones. Next, leaders roll out initiatives with transparent milestones. Finally, econometric and machine learning engines strip hype from harvest to reveal actual gains. Under 30 days, fraction of a consultant's cost.
Enterprise crucible delivers proof: Wayfair, Coursera, Accenture, DIRECTV and other public companies onboarded within months. A typical Fortune 500 gets hundreds of millions in annual gains. Macro‑economics numbers hit the trillions.
In February 2025 Workhelix powered a $15M Series A led by AIX Ventures. Rock‑solid syndicate includes Andrew Ng's AI Fund, Accenture Ventures, and notable VCs and angels. Shaun Johnson (AIX) summarizes it: this first inning of multi‑decade AI transformation demands tools that turn AI experimentation into advantage. Andrew Ng adds that Brynjolfsson and Rock's task‑level science is exactly what enterprises need.
Workhelix enters a market where McKinsey predicts $13T of AI impact by 2030 and WEF sees 69M new jobs through automation. Its advantage is academic firepower from Stanford, MIT, Wharton, layered with task‑level precision, econometric accountability, speed and trust.
Culture runs on 5 principles: science‑driven decisions, ownership with autonomy, rapid iteration, constructive disagreement, AI‑native operations. That's the engine Brynjolfsson calls the core of how companies transform "from flying blind to flying with purpose."
The team is hiring across Sales, Strategy, Marketing, Engineering and Forward‑Deployed roles.
Workhelix's integration in Accenture's LearnVantage accelerator brings task‑analysis into AI workforce readiness. As enterprises pivot from hype to measurable outcome, Workhelix fires the starting gun on AI accountability.
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