Lead AI Adoption With Confidence.

One specific thing I changed immediately: our weekly client report used to take my team about four hours to compile. I followed the workflow we built during the morning session and we've got it down to under ninety minutes. My regional manager noticed and asked how we did it.

No waffle, just stuff I could actually take back to my firm. Appreciated that.

Three of my team now use AI daily for drafting donor comms and grant applications. We are a small charity so every hour matters, and this has given us back time we did not have. The hands-on morning session is where it clicked for me. I came back and ran a version of it for my team the following week.

I nearly did not come. Another day away from the floor for training that probably would not change anything. But the governance session gave me a framework I put in front of my team the following week, and the adoption exercise forced me to think about which of our service processes actually suit AI and which ones do not. Two of my team leads are now using it for complaint triage summaries and it is cutting our response drafting time noticeably.

I will be honest, I came in thinking this would be a load of hype. It was not. I had stuff I could actually use on Monday morning, which is more than I can say for most training days.

Sebastian did not oversell what AI can do, which I respected. I adapted the governance template for our organisation and compliance approved it in three days. I had been putting that off for months because I did not know where to start.

I nearly didn't come because I assumed I'd already know most of it, given my background. Wrong. The management and adoption side, how to actually get a team of 30 people to change how they work, that was completely new to me. Technical knowledge is not the same as knowing how to lead a rollout.

I came mainly for the governance session and it delivered. I had a usable draft AI policy by the end of the afternoon and shared it with our compliance team on Monday. They had minor edits but were surprised how much ground it covered. Saved me weeks of trying to write one from scratch.

Really well run day. I've already booked two of my store managers onto the next cohort because I think it's important they hear it from someone outside the business. Sometimes an external voice carries more weight. The mix of people in the room was great too — I got as much from the conversations with other managers as I did from the taught content.

Before this course I honestly thought AI was not for someone in my kind of role. I was wrong. I now use it most weeks for drafting maintenance reports and vendor correspondence, and I know enough to tell my team what is fine to use it for and what is not. Money well spent.

The afternoon session on leading adoption changed how I think about introducing any new tool to my team, not just AI. The role-play exercise was awkward at the time but I have used that script three times since the course and it works.

No slides full of theory about what AI might do in five years. The whole day was about what you can do now, with tools that exist today, given the team and budget you actually have. Most training I have been on does not work that way. This one did.

Sensible course. Well structured. Didn't try to pretend AI will solve everything, which I appreciated. The morning hands-on session was more useful than I expected it to be.

No waffle. Best management training I've done this year.

The morning session where we actually used the tools was the best bit. I had been avoiding ChatGPT because I did not know where to start and now I use it most weeks for drafting facilities reports. The governance template was handy too. Lunch was decent as well.

Lots of good material but the pace was quite fast in places. I would have benefited from a bit more time on the adoption planning section — we rushed through it at the end. That said, the handouts covered everything so I was able to work through it properly afterwards. Would still recommend it.

The adoption curve content stuck with me. Different people on your team will be at different stages and you need different approaches for each. Obvious once you hear it, but I had not thought about it properly. I have since restructured how we are rolling out AI tools and it is going much more smoothly.

As a clinical manager, my first question was always going to be about patient data and safety. The governance session actually covered this properly, not just handwaving about GDPR. I now know what we can and cannot do, and I have a plan for the bits that are safe to start with. Two of my admin team are already using AI for correspondence drafting and it has taken real pressure off the rota.

Good day. The governance section was the most relevant bit for pharma specifically. I did feel the afternoon could have been tighter, there was some repetition between the adoption framework and the planning exercise. Minor gripe though. I came away with a plan I could actually hand to my director.

Picked up plenty of useful ideas. My only gripe is I would have liked more time on specific tools. We touched on a few but did not go deep enough for me to feel confident choosing between them. The governance and planning sessions were the strongest parts.

I expensed this and my MD asked me to justify it. After I showed her the 90-day plan and the governance template, she asked me to book places for the other two directors. That's the best review I can give.

I have been trying to write an AI usage policy for my service for months and kept getting stuck on what to include. They gave us a proper template and I adapted it for our trust in about two hours. My clinical director signed it off that week. That one thing justified the whole day.

The fear conversation exercise was the highlight for me. We paired up and one person played the sceptical team member while the other practised responding. Sounds a bit daft written down but it worked. I used almost the exact same words with someone on my team the following Tuesday and it landed well.

Decent course. The morning hands-on bit was the strongest part. The afternoon planning section felt like it could be tightened up — some of the group exercises ran long and we lost momentum. Content is good though and I came away with a clear idea of what to do next. Would be a strong four and a half if I could give half marks.

Three weeks after the course, I presented the 90-day plan to our senior leadership team. They approved it and we are now piloting AI in two service areas. Before the course I did not even know where to start. Having a proper plan on paper made it easy to get sign-off without anyone expecting me to be a technologist.

I attended partly to see how they deliver training on this topic, as I am building something similar in-house. The facilitation was sharp and the materials were well put together. A couple of the exercises could have been shorter without losing anything, but the overall structure works. I picked up ideas for my own AI adoption and also for how to teach it internally.

The role-play exercise in the afternoon was the part I did not expect. I had been dreading the conversations I would need to have with staff who are nervous about AI, and we actually practised them with feedback from the room. I have since had three of those chats for real and they went far better than they would have done before.

I am not a tech person at all. Thought I would be out of my depth. Wasn't. By lunchtime I had already worked out two things I could change in how we run our weekly ops review.

No nonsense. No jargon. Just a clear explanation of what AI can actually do for my team and a plan to get on with it. I've sent two of my supervisors on the next one.

The 90-day plan is the bit that made this worth it for me. I've been on courses before where you leave feeling inspired but then nothing happens. This time I walked out with a week-by-week plan, already adapted to my school's context, with realistic milestones. We're on week six now and actually on track.

The Monday Morning Test concept stuck with me. Every idea got filtered through "could your team actually do this on Monday morning?" and it stopped the conversation from drifting into theory. I've started using the same test in my own planning meetings.

We implemented two of the workflows from the course within a fortnight. Conservative estimate is we're saving around 12 hours a month on reporting across the team. The 90-day plan made it straightforward to present to the board and get sign-off.

The legal and governance session covered data handling and regulatory exposure well. It addressed most of the concerns I had. I would have liked more on financial services-specific regulation, but I understand it is a general management course. Enough to take back to my team and build from.

The course content was solid but honestly the best bit was meeting other managers dealing with the same questions I am. We set up a WhatsApp group afterwards and still share ideas weeks later.

I had been putting this off for over a year because I felt so far behind. Everyone around me seemed to know what they were doing with AI and I was still trying to understand the basics. Nobody in the room made me feel stupid for asking questions. By the end of the day I felt like I could actually lead on this instead of hiding from it. That meant a lot.