How agents actually work, why the data layer decides everything, and what genuinely changes deal work. Written for people doing the deals.
The models are becoming a commodity and every major AI player is converging on the layer that holds your firm's knowledge. Sovereignty is how you stay the owner of that layer rather than the terrain it gets fought over.
Two architectures get sold under the same label. Telling them apart is the difference between a tool for the next twelve months and a platform you can actually build on.
Every firm gets tempted to build its own AI tools after the first good result. Here is why that instinct is almost always wrong.
Everyone has the same sourcing databases now. The edge moved to the parts of dealmaking that don't scale.
Firms keep switching AI models looking for an edge. The edge was never in the model.
APIs, MCP, and the vocabulary behind AI agents, explained for the people doing deals rather than building the software.
As every firm gets access to the same models, the edge shifts to proprietary data, and using that data well means being able to trace, audit, and explain everything the model did with it.
One interface directing structured data and agents that act on it, replacing the old habit of logging into five different platforms to get one thing done.
Connecting AI to your file storage doesn't solve version control. It just automates the guessing.