The enterprise knowledge layer, the context AI agents need to operate
Agents can reach thousands of tables and documents and still not know how the company works. The author proposes a seven-layer architecture to fix that.
future in use
Agents can reach thousands of tables and documents and still not know how the company works. The author proposes a seven-layer architecture to fix that.
With agents, the question stops being which model a company uses and becomes what each agent is authorized to do. In the author's view, control has to be built into the architecture.
Foundation models are advancing fast. For the author, whoever masters each industry's processes builds the advantage that lasts.
Many agents sound intelligent and few actually work. In the author's view, the difference lies in running AI where business data lives.
In the author's view, the most common mistake companies make with AI is one of mindset. They treat the technology as a tool when they should treat it as an operating system.