Using AI in Non-Technical Roles
Hosted by Linda Mutricy
What you'll learn
Identify automation opportunities in your workflows
Optimize for business impact
Get comfortable with prototyping
Master AI prompting for higher-quality outputs
Why this topic matters
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.
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