In December 2022, ChatGPT disrupted our nine-month-old edtech startup overnight. We'd been building a chat-based learning platform with hand-crafted conversation trees. OpenAI made it obsolete in an afternoon.

We could have rushed to add AI features. Instead, we paused. We spent months learning these new tools, understanding what they could really do versus what everyone claimed they could do. And we discovered something unexpected: while everyone was racing to build AI products, companies desperately needed help using AI to solve real problems—both in how they delivered learning and how their employees worked.

So we became practitioners first. We started helping companies create training content using AI—cutting production time from months to weeks. But we also noticed something else: the same companies needed their employees to understand and use AI effectively. The L&D teams we worked with were being asked to lead AI adoption across their organizations, not just within their departments.

Each project taught us more about this dual challenge. We helped L&D teams transform their own processes with AI while simultaneously developing AI literacy programs for their organizations. We became bridges between the technical and the practical, the possible and the necessary.

Today, The Learner Company operates on both levels. We help L&D teams revolutionize how they work—using AI to create better content faster. And we help them become AI champions for their organizations—developing and delivering training that makes AI accessible to everyone from sales teams to senior leadership.

We exist at the intersection of learning science and AI capability. Not as evangelists or skeptics, but as translators—helping entire organizations adopt AI without losing what makes them human.

Our journey from disruption to expertise shapes everything we do. We help organizations answer two critical questions: "How do we transform our learning function with AI?" and "How do we help our entire workforce thrive in the AI age?"

The answer to both isn't in the tools. It's in understanding where AI excels, where human expertise remains essential, and how to bridge that gap at scale.

That's what we practice, build, and teach every day.