Last week, I traveled to deliver my first in-person AI workshops for editorial and sales teams. It was a milestone for Noel Consulting Solutions and, more importantly, a chance to learn how people actually feel about AI right now. My goal was to help these teams gain confidence and start working with AI in practical, everyday ways.
Over the course of the trip, I saw lightbulbs go off, skeptics open up, and conversations shift from fear to possibility. Here are the biggest lessons I took away from a fantastic week.
1. Leaders are excited, teams are cautious
Business leaders are eager to explore AI. They recognize its importance for staying competitive, but they often don't know where to start beyond ChatGPT. They're enthusiastic adopters who want clarity and direction.
Content teams, on the other hand, tend to be more skeptical. Many have heard about AI hallucinations or seen mistakes firsthand. They are also nervous about AI's impact on content quality and their positions. While some individuals are experimenting with AI in their workflows, most teams are still at the beginning of their learning curve.
2. Shared AI literacy is essential
Breakthroughs came after we built a shared foundation. By giving everyone a common vocabulary and showing simple demonstrations, I helped teams see AI as a tool, not a threat. Multiple participants told me afterwards that they felt more confident and ready to experiment.
When AI is framed as a way to save time, not replace people, resistance starts to fade.
3. People feel embarrassed when they think they're behind
One participant told me she was nervous walking into the workshop because she felt "behind everyone else" when it came to AI. After the workshop, we worked through a project in ChatGPT together. Watching her light up as she saw how these tools work was one of the highlights of the trip.
This experience reminded me that adoption isn't about flashy technology. It's about meeting people where they are and showing them that they can do this.
4. AI should give time back to humans
The most powerful response I saw came when I positioned AI not as a replacement, but as a partner.
By using AI to clear away repetitive tasks, teams can spend more time on the parts of their jobs that matter most and that require a human touch: interviewing sources, uncovering new angles, brainstorming fresh ideas, and building relationships. When people saw AI in this light, they became far more open to exploring it.
5. Acknowledge AI's flaws openly
Avoiding AI's shortcomings doesn't help anyone. Instead, I made it a point to address them head-on.
During one live demonstration, the AI gave a wrong answer, and the audience caught it immediately. Rather than gloss over it, we turned it into a teaching moment: this will happen, and your expertise is necessary to ensure accuracy. By admitting the risks and sharing best practices for using AI-generated content responsibly, I helped skeptics feel heard. They trusted me once they saw I wasn't running away from their valid concerns.
6. It's okay to start small
One participant emailed me after the workshop to say she'd started using AI at home to organize grocery lists and compare supermarket deals. That confidence then spilled over into her work.
Starting small, especially outside of work, can be a great way to learn how different tools behave, experiment with prompting, and build trust in the process.
7. Teams will encounter many types of AI
Generative AI is only part of the picture. I showed participants how it can help with brainstorming, outlining, research, and data organization. But I also introduced them to built-in AI tools that are becoming part of CMS platforms, offering SEO suggestions, scores for readability, instant feedback, and social media ideas.
The message was clear: these tools are coming, and learning to use them now builds confidence for the changes ahead.
8. The real win is confidence
The most meaningful feedback I received wasn't about the slides or the demos. It was from the people who told me I helped them feel less intimidated by AI.
That's the "why" behind my work. Technology will continue to change the world of digital content. If I can help writers, editors, and publishers feel more confident and capable navigating these changes, then I know I'm on the right path.
Keep your content ahead of the curve
These workshops confirmed what I believe: AI adoption isn't about pushing tools. It's about building trust, providing clarity, and giving people the confidence to try.
If your team is wrestling with AI questions, like where to start, how to use it safely, or how to build confidence in your team, I'd love to help. Reach out, and let's talk about what's possible.