A few weeks ago, we had one of those conversations every organization and founder hopes for.

Matt Pittman from Brandon Hall Group joined us for a deep-dive on Enthral. We walked him through our platform, showed him our AI agents in action, and discussed where enterprise learning is headed.

I knew it was a good conversation in the moment when Matt asked the kind of questions only someone who’s seen the entire market can ask. But I am still surprised (very pleasantly, of course) by the way he captured the essence of what we’ve been building for years in his new article:

And then came the line that made me pause:

“I can tell you this level of sophistication remains rare in 2025.”

For someone who evaluates dozens of platforms every year to say that, well, that’s not something you take for granted.

In 2025, it’s easy to get caught up in the noise. Every learning platform claims to be “AI-powered.” Platforms like Adobe Learning Manager, Absorb LMS, Docebo, Cornerstone OnDemand, TalentLMS, and 360Learning each bring distinct approaches — but as Matt points out, much of what’s sold as AI is really just a chatbot bolted onto old systems. It can answer a question or recommend a course, but it can’t take something complex off your plate and actually do it.

That’s why we went all-in on Agentic AI in the recent past. Not AI that just responds, but AI that acts, autonomously, intelligently, and in context.

During our demo, we showcased to Matt Craft, our AI agent that can take a PDF of your compliance policy, analyze it, generate a bank of role-specific questions, schedule assessments for thousands of employees, and log results for audit, all while your L&D team is getting a coffee.

We also showcased Izzy, our agent who helps users navigate the platform, troubleshoot issues, and surface the right resources instantly.

He saw our role-play agents, which simulate customers, doctors, or any persona your team needs to practice with, speaking different languages, adjusting tone, and providing feedback.

And importantly, he saw them working together, sharing context so you don’t have to start over with each one.

That orchestration is what makes them more than just a clever interface. They are not just AI features. Rather, they are part of a coordinated, autonomous system.

Matt’s article breaks it down in a wonderful manner. Here are some highlights:

• Multiple specialized agents that each excel at a domain but share information seamlessly.
• Custom AI avatars that look, speak, and behave in ways that reflect your brand and culture — for a fraction of what traditional video simulation costs.
• True workflow automation, not just content curation — from creation to deployment to analysis.
• Built-in compliance intelligence, which matters more than ever for regulated industries.

This isn’t about AI as a “nice-to-have.” It is about automating the heavy lifting in learning operations so humans can focus on strategy, creativity, and connection.

When Matt called what we’ve built “rare in 2025,” I felt two things at once:

1. Pride, because we have been bootstrapped from day one. No massive marketing budgets, no growth-at-all-costs mentality. Just years of sustained engineering effort, customer feedback, and a relentless focus on building something that works in the real world.
2. Responsibility, because if this is rare now, it won’t be for long. And that’s a good thing. The market will catch up. It should. The real win isn’t being the only one with advanced AI. It is when this level of capability becomes the baseline for everyone.

One thing I appreciate about Matt’s piece is that he didn’t shy away from the hard parts.

Yes, our AI agents make things easier for end users. But enterprise adoption is never instant:

• Security concerns slow rollout, even when we offer customer-cloud deployment.
• Organizational readiness matters, sometimes the tech is ahead of the change curve.
• Perceived complexity can be a hurdle, even if the actual user experience is simple.

Matt has wonderfully highlighted some of the sectors where we’ve seen the biggest impact:

Global manufacturing & retail: where compliance is complex and training must be localized at scale.

Financial services & insurance: where certification integrity matters and knowledge changes fast.

Technology & professional services: where skill cycles are short and project-driven learning is key.

Healthcare & pharma: where compliance is non-negotiable and personalization saves time.

Franchise & multi-brand operations: where you need central governance but local customization.

In all these use cases, the thread is the same: scale, complexity, and the need for speed without sacrificing accuracy.

A lot of vendors in our space are venture-backed. They have raised hundreds of millions to get where they are. That’s a valid path, but it is not ours.

We have grown Enthral profitably, step by step. We have invested in our R&D because we believed in the vision, not because a funding round demanded it.

So, when a leading and prestigious analyst group like Brandon Hall (who has no stake in our business) says we are ahead of the curve, it validates years of quiet, disciplined building.

Here’s the truth: being “rare” isn’t the goal. Impact is!

The reason we care about Agentic AI is because it changes the work people do every day. When your skilling platform can take an end-to-end process off your team’s plate, you free up human time for human work: coaching, problem-solving, creativity.

And that’s the real promise of AI in learning, not replacing humans, but giving them back the space to be fully human at work.

Matt’s article goes deeper into the market context and where Enthral sits in it. If you are thinking about Agentic AI for your learning programs (or wondering how to separate hype from reality) this one’s a must-read.

Read the full piece