Using AI in Non-Technical Roles

Lightning Lessons

Practical skills & tools to accelerate your career

Using AI in Non-Technical Roles

Hosted by Linda Mutricy

167 students

What you'll learn

Identify automation opportunities in your workflows

Learn which repetitive processes can be enhanced with AI today, balancing automation and human oversight.

Optimize for business impact

Prioritize building AI solutions with the highest ROI, maximizing impact and minimizing technical complexity.

Get comfortable with prototyping

We'll walk through a live non-technical prototyping session easy enough to follow for complete beginners.

Master AI prompting for higher-quality outputs

Every participant will receive prompt templates that get results and tips on how to prompt more effectively.

Why this topic matters

If AI feels more like a toy than a tool, this talk will help you figure out how to use it in real business contexts. Operations and CS teams spend too much time on repetitive tasks like document processing, data analysis, and client reporting. We'll show you how to identify work that can be easily automated with AI and walk you through how to do it yourself, without needing to learn to code.

You'll learn from

Linda Mutricy

Founder at Crafty Crow

I taught myself how to code because I wanted to automate my own Operations work at Citi. (Way before ChatGPT!)

Learning how to code changed my trajectory.

I pivoted to a technical product manager role at Flexport, managing one of their central data pipelines.

My product engineering team was able to work so quickly because we had the support of a "full-stack Operations team." They were comfortable around SQL queries, made their own no-code prototypes, and built their own internal tools, so we could invest engineering time where it moved the needle.

I'm now helping mid-market companies automate their operational processes through my startup, Crafty Crow, saving lean teams 20+ hours a week.

If I had to start my journey all over again, I know exactly what I'd do differently. Now, I'm sharing everything I've learned so that you can achieve similar results, faster.

Previously at