"This requires a new architectural approach where every business is able to build agentic systems that improve over time, while still retaining control over their IP."
AI embedded in the company from the ground up is a cool vision.
Few points I'm curious about:
- Which companies can actually do it quickly/cheaply enough to justify the investment (relative to their size/profit/time horizon)?
It requires knowing where you are going, what you are optimizing for, having clean data architecture, and clear processes.
Without a clear direction, you can't build any of this.
-How quickly can the architecture adapt to the company changing or pivoting?
Data and process evolution, restructuration, change of strategy/objectives, change of landscape.
-Seems like only very mature companies could even pretend to that kind of AI architecture,
-Seems like there is an opportunity for service companies/ESNs to provide package services for similar companies through standardized approaches (restaurants, hotels, retail, manufacturing)... Anything where the goal is very clear, and the processes are known, with very little differentiation except for branding, marketing, distribution, timing, positioning, etc...
I like this vision of the future though, always believed intelligence should be injected in all business processes for maximum efficiency. But as a freelance, I also learned that 90% of companies' internal data is a chaotic mess, so I expect data engineers to actually have a lot of work to do for this to happen.