Reflections
In early 2020, when a planned study trip to Japan was cancelled, a few friends and I did what any MBA with unexpected free time and unrestricted Zoom access might do: we launched an online seminar. Naturally.
Over six delightful weeks, we corralled investors and CEOs from AI companies in Japan and the UK for six weeks of virtual seminars exploring how businesses in both countries were adopting artificial intelligence. It was, incidentally, the first time I had given serious thought to how AI is applied in practice inside companies.
In this series of notes, I distill what I've learned since then — both through using AI in my own work in M&A, and through conversations with software CEOs and investors building AI-native operating models from the ground up.
Should you wish to share your own perspective, feel free to email me at: gelila@aonepartners.com.
Rube Goldberg’s “Self-Operating Napkin” kicks into gear to offer its inventor a napkin.
This is about AI-native operating systems that are not self-operating napkins.
Over the last 3 years, I’ve asked AI for many things.
This is about advanced prompt engineering and how to ask AI for what you want.
Resource: Due Diligence Scorecard GPT that screens opportunities and outputs company score card, industry score card and diligence template
Upcoming
Initial Appraisal GPT x AI
AI Agents for SMBs
Retention Analysis x AI
Training Data for SMBs
Open Source AI for Small and Mid Size Businesses
Security Protocol for AI Enabled Workflows
Evaluating Term sheets x AI
Alternative data, Financial markets x AI