You win it by making your people superhuman
Backed and partnered with
Built for the Chief AI Officer, or the leader accountable for AI budget and its impact on workforce: often the CEO, CFO, COO or Chief People Officer.
This is like embedding the capability of an Anthropic engineer into every employee, so someone in marketing works at the level of 5 people, not 1.
The problem
3 forces are driving the gap, and why you can't buy, hire, or train your way out. The capability is already on your payroll. It just hasn't been built yet.
Companies have already bought into GPT, Claude, and Copilot, yet more than 80% still see no profit from AI at the enterprise level, even as AI spend climbs toward $632B by 2028.
Real AI experience is concentrated inside a handful of frontier labs, and AI skills now carry a 56% wage premium, more than double a year ago.
Most AI learning offers a generic course list that rarely aligns with actual workflows or skill gaps. By 2030, 70% of the skills today's roles require will change.
The solution
20xwork builds the superhuman workforce on the team you already have. We build the personalized learning and development that lets every function, sales, product, or even back office, use AI to its full capacity.
Do that across the org and you outperform a competitor still stitching ChatGPT and Claude together as a patchwork across departments. One fluent team isn't a competitive edge, you win that at scale, when every department operates the same way.
The outcomes
We build the capability of five people into one, so a single person now does what used to take a whole team, and they get sharper at the job instead of replaced.
We prove the return on the P&L while the workforce stays intact, tied to one number: AI ROI Efficiency, the value your people produce divided by what you spend on AI.
How it works
We read how your company actually works, your work breakdown, the skills each role needs, and what each person knows. Triaged across manager, employee, and reviewer, so it can't be gamed.
We assemble the right learning two ways: hand-picked proven courses, plus expert-built custom materials.
A recommendation engine matches material to each person and sequences it for their role and gaps, learning what actually moves performance.
We deliver the journey where people already work and track real output: assessments, milestones, and workflows automated, not just course checkmarks.
We re-measure readiness, count hours saved, and tie it to the return on AI spend you already carry. Proof on the P&L your leadership signs off on.
The personalized AI skilling journey runs through Steps 1 to 5, creating a continuous feedback loop measured against the business outcomes.
Growth
People who keep growing, stay. $30k per turnover event off your books.
Your workforce climbs, role by role.
AI spend that compounds into capability.
Get started
In one week, at no cost, we baseline where your AI spend and your workforce capability stand today, and show you the gap that's costing you return.
How your company actually works, the work breakdown, the skills each role needs, and what each person already knows. Triaged across manager, employee, and reviewer, so it's honest and can't be gamed.
Where your AI dollars go today, and where the budget should be. Set in week zero, so every gain after is proven against it.
A clear read on the distance between where your workforce is and where the role needs it to be, and what closing that gap returns.
Trust & integrations
An API exposes your data back to you. No lock-in, no black box.
Your HRIS, Workday, Rippling, BambooHR, Oracle.
Slack, email, your portal, your LMS. Learning delivered where your people already work.
Delivered through the tools you already use. No new login, no new tab, no adoption curve.
We map your approver hierarchy, then automate it, each sign-off triggers the next, every approval recorded.
Access, data privacy, PII handling, and what data leaves your walls are all gated. Nothing ships until every owner has signed.
Insights
Reskilling turns an existing product manager into an AI-native operator who works at the level of five people. Here is why generic course lists fail and how a personalized skilling journey mapped to real workflows closes the gap.
Read →The market for AI talent is priced like a scarce commodity because it is one. The durable edge isn't acquiring rare expertise - it's building AI capability into the workforce you already have.
Read →Enterprise AI spending is climbing toward $632B by 2028, yet more than 80% of companies see no profit at the enterprise level. Here is what actually closes the gap.
Read →