Why Corporate Training Is Finally About to Change
A conversation with Art Maslow, founder of Foxtery
Most companies think they have a training system.
They have an LMS.
They have onboarding documents.
They have compliance modules.
But when I asked Art Maslow, founder of Foxtery, what problem he was really solving, his answer was different.
“We take the chaos companies already have and turn it into a system that learns, adapts and grows.”
Chaos.
That’s the real starting point.
Not software.
Not AI.
Chaos.
The Empty LMS Problem
Art didn’t start with AI.
He started with a Learning Management System used by more than 100,000 weekly learners.
It was modern.
Well designed.
Customers loved the vision.
And still, 30% of them never launched.
One client kept paying for nearly two years with a completely empty platform.
When Art finally asked why, the answer was brutally honest:
“I just love the idea of training my people, but I really don’t have time right now. And I’m afraid that if I stop paying, I will completely abandon this idea forever.”
That’s not a software problem.
That’s a structural problem.
The bottleneck wasn’t the LMS.
It was content creation.
Why Corporate Training Fails
For training to actually influence performance, it has to reflect reality.
As Art explained:
“For training to actually influence people’s mindset and make them stronger in their role, the content has to live inside the reality of the company.”
That means:
Real product updates
Real processes
Real internal know-how
Real compliance changes
And who owns that knowledge?
Founders.
Subject matter experts.
Busy people.
Art summarized the tension clearly:
“They don’t know how to create courses and they’re always busy.”
Pulling an expert out of day-to-day work to design structured training is almost impossible.
So the LMS sits there.
Technically implemented.
Strategically unused.
When AI Flipped the Equation
The turning point wasn’t better UX.
It was generative AI.
Art had already built an internal instructional design team to manually transform company knowledge into courses. It worked.
But it was slow.
Manual.
Expensive.
Then AI appeared.
“We realized that 95% of our work could be automated.”
That sentence changes everything.
When 95% of the cost of structuring knowledge disappears, corporate training stops being a creative bottleneck and becomes an engineering problem.
Foxtery evolved from LMS to something else entirely:
“Foxtery is an AI agent that transforms a company’s internal knowledge into real usable training.”
Not a content library.
An agent.
From Interfaces to Agents
Art made a subtle but important point during the conversation:
“Complex interfaces, menus, and settings were becoming outdated. AI agents were starting to feel more natural than traditional tools.”
This isn’t just about training.
It’s about software architecture.
Traditional corporate tools require:
Configuration
Navigation
Manual updates
AI agents reverse the model.
You give them raw materials:
Product documentation
Compliance updates
Internal processes
And they:
Structure learning paths
Generate interactive modules
Create quizzes
Update content automatically
Autonomously.
Training stops being something you build.
It becomes something that builds itself.
The Real Divide
There’s a lot of talk about AI replacing jobs.
Art sees something different.
“AI is moving so fast that even people inside the industry struggle to keep up. And the gap between those who understand AI and those who don’t is growing very quickly.”
The divide won’t be human vs machine.
It will be:
Companies that integrate AI into workflows
vs
Companies that experiment casually.
In corporate training, that difference compounds.
Imagine:
A product update ships in the morning.
By afternoon:
Sales has interactive training.
Support has scenario-based simulations.
Compliance documentation updates automatically.
No one schedules a training session.
The system reacts.
That’s not incremental improvement.
That’s structural acceleration.
The Hardest Lesson
The most powerful part of the conversation wasn’t about AI.
It was about responsibility.
Art shared the hardest moment of his first startup.
He had five employees.
No cash.
A mortgage on his apartment.
And he had to tell each of them there would be no salary that month.
Those conversations changed how he thinks about leadership.
It’s why today he says:
“Be optimistic, but plan like a pessimist.”
Corporate training may be evolving.
But the fundamentals of building companies don’t change:
Cashflow discipline.
Execution.
Responsibility.
AI doesn’t remove those.
It amplifies the consequences of ignoring them.
What Success Looks Like
When I asked Art how he defines success, he didn’t mention valuation.
He said:
“Success is when my pack is happy.”
Family.
Team.
Clients.
Investors.
Corporate training, in that sense, isn’t about courses.
It’s about confidence.
Employees who understand the product.
Teams aligned with the mission.
Knowledge that doesn’t decay.
If AI agents can reduce chaos and accelerate alignment, then corporate training becomes strategic leverage instead of administrative overhead.
So Why Is It Finally Changing?
Because three forces converged:
Knowledge fragmentation reached its limit.
Generative AI collapsed the cost of structuring content.
Agent-based software replaced static interfaces.
Corporate training has looked modern for years.
Now it might actually become modern.
The question isn’t whether AI can generate courses.
It’s whether companies are ready to let knowledge become autonomous.
If your company disappeared tomorrow, how much of what you know would survive?
That’s the real test.
And that’s why corporate training is finally about to change.