How Anuja Built an AI Training Company

I'm Anuja and I come from a psychology background. I worked for years in learning and development in a traditional corporate setting, and my introduction to AI actually came through L&D tools that started adding AI features.

That curiosity grew into something much bigger. Today I run my own company called Aurion, an AI adoption and training agency where I help organisations and individuals understand AI, optimise their existing tools, and build workflows that make their work more profitable and more efficient. The psychology background is not incidental. It is at the core of everything I do with clients.

The process was quite memorable for me. I was spending a lot of time on LinkedIn seeing hundreds of posts about different AI tools every day, and I had this constant fear of missing out. So many tools, so much information, and I had no idea where to focus.

Then I had a conversation with some friends who pointed out that many organisations were in exactly the same position, and that knowing every tool was never the point. The point was curiosity and patience, and making AI a thinking partner rather than a threat.

That insight became the foundation of Aurion. I started training a few friends and organisations. That is how it all started.

It started as just an idea I was testing with people I knew. I trained a few friends, then a few organisations in my network.

The turning point came early: my very first paying client was so impressed with the training that she invested in the company. That moment changed everything. It gave me the confidence and the resources to keep going. The transition from corporate salary to company income was not overnight, but having that early validation from someone who put real money behind it made the path feel real and worth pursuing.

I provide exclusive training in Copilot and Microsoft 365, covering everything from basic prompt engineering to building your own AI agents. But before any of that, I always start with a mindset.

The framework I use is something I call the AI psychological contract, which addresses the fear that sits underneath every corporate AI adoption: the belief that if the company is bringing in AI, it is coming for your job. Once that fear is addressed and people understand that AI is a thinking partner and not a replacement, the actual learning accelerates dramatically.

Everything else I teach, whether that is workflow automation, using Claude, building with Zapier and Notion, only lands properly once the psychological foundation is in place.

One of the examples I use most with clients comes from my own work in training. Standard onboarding gives everyone the same documents, the same plan, and calls it done.

But everyone has a different learning pattern and a different way of adapting to a new environment. I built a workflow that generates a personalised 30-60-90 day onboarding plan for each new joiner based on their role, their learning style, and the organisation's priorities.

That is my best demonstration of what AI can actually do for a business: not just faster execution of the same process, but a genuinely different and better outcome for each person involved. It always resonates with clients because it makes the value concrete and personal.

Networking has been the most important channel from the beginning. I started by talking to people in my existing network, being visible on LinkedIn, and just putting myself out there in conversations.

Every new client relationship at Aurion starts with a free 30-minute clarity call, because I have found that simply talking through what someone is trying to solve often resolves half the confusion before any training even begins. I work mainly with small startups and organisations rather than large enterprises, because that is where I can have the most direct impact. The first call is never a sales pitch. It is a conversation, and that is very intentional.

I hear this a lot, and I faced it myself. When I was getting into AI, people around me, including friends who work in tech, would ask whether I was sure I wanted to go in that direction, suggesting I was not a technical person.

What I realised is that AI is not really technical. It is about strategy, about how you use it for your benefit and position it in a way that works best for you.

Psychology, curiosity, the ability to understand what people need and how they learn, those turned out to be more valuable than any technical background. If you are holding back because you think you need to be an engineer first, let that go.

It is still very much there. I made a post on LinkedIn recently after Anthropic published a chart about which industries AI is most likely to affect, and my feed was flooded with people asking whether they were going to lose their jobs in the next ten years.

I had the same reaction when I first opened it. What I come back to is something my mother said when the IT wave came in the early 2000s and her friends were worried about the same thing: it is about learning the right things and having the right mindset about where you want to go.

That has stayed with me. The fear is understandable because everything is changing so fast and the volume of information is overwhelming. But the answer to that is not to freeze. It is to get curious.

Absolutely, and I say this not just as encouragement but from experience. Even today there are hundreds of tools I have never used. When I want to try one, I open it, watch a few videos, talk to someone who is already using it, and give it a go myself.

That is the whole method. If you spend even 10 to 15 minutes a day just exploring, whether that is Google's AI mode, Copilot, or Claude, you will start to build fluency faster than you expect.

The mistake is trying to consume all the information at once. Hands-on practice beats any amount of passive learning. You will find out very quickly what works for you and what does not, and that is where the real learning happens.

Start anywhere. Go to LinkedIn, go to Google, open any AI tool and just see what is there. There is no correct starting point. Some people learn through courses, some through hands-on exploration, some through having someone walk them through it.

Whatever learning style works for you, use that, because the important thing is not how you start, it is that you start. The worst outcome is that a specific tool does not work for you, and that is not a failure, it is just information.

There are hundreds of options. One does not work, you move to the next. AI is not going to stop evolving, so the approach that serves you best is to stay curious and keep trying. That is genuinely all it takes to get going.