How to Propose AI That Makes Business Sense (When You're the Domain Expert, Not the Tech Person) - Katherine Mora
Many generalists have ideas for how AI could improve their work or their company's processes but they don't know how to propose them in a way that gets buy-in. They either get blocked by leadership who can't evaluate the opportunity, or they struggle to frame the initiative in terms of business value, cost, and feasibility. This masterclass gives them a practical framework to propose (or evaluate) AI initiatives that actually make sense without needing to be the tech expert.
You'll learn how to identify AI opportunities grounded in real business problems, not hype. We'll walk through a framework for evaluating initiatives based on business value, cost implications, and implementation feasibility, so you can propose ideas that are easy for leadership to say yes to (or evaluate them yourself if you're the decision-maker). You'll also learn how to avoid the most common traps: starting with the tool instead of the problem, ignoring cost until it's too late, and proposing solutions that sound good but aren't realistic. You'll leave with a mapped-out AI opportunity ready to pitch or evaluate.
A practical framework to evaluate any AI initiative for business value, cost, and feasibility, plus their own mapped opportunity ready to propose (or assess) with confidence.
What we'll cover:
A practical method to evaluate any AI initiative by assessing three crucial factors: measurable business value, cost implications, and implementation feasibility.
Techniques for identifying high-impact AI opportunities that are grounded in real business problems, effectively steering clear of technological hype.
Strategies for framing AI proposals in business-centric language that secures immediate buy-in from leadership and decision-makers.
How to recognize and avoid the most common pitfalls in AI adoption, such as leading with a specific tool or proposing unrealistic solutions for your organisation.
Your host:
Katherine Mora is a Fractional CTO and founder of Amanzi.IO, helping SMBs and startups navigate the world of technology with clarity and confidence. With a computer engineering background and over 21 years specialising in data, search, cloud, and AI, she has worked with S&P 500 companies and startups across global markets, always focusing on connecting technology decisions directly to measurable business outcomes. Driven by the mission that technology should empower, not intimidate, Katherine simplifies the complex to guide companies through adoption, from AI implementation to cloud infrastructure. She is also committed to making technology accessible to everyone, sharing her insights at industry events and serving as a Chapter Lead of Latinas in Tech London.