The unbundling we discussed last week finds its perfect ally in AI. The current trend is to create microservices so specific and "clean" that they can be consumed directly by AI agents through MCP (Model Context Protocol) connectors.
Functional Atomicity: A microservice that does only one thing (e.g., calculating exact credit risk) is easier for an AI to "understand" and call than a monolithic platform.
Self-Documenting APIs: In this ecosystem, technical documentation is for the AI. A clear API allows the agent to decide when and how to use the service without human intervention.
Cost Efficiency: You only pay for the execution of the specific function that the AI needs at that moment.
The Renaissance of Technical Specialization
By aligning unbundling with AI, we transform the tech stack into a library of skills for the model. We are no longer building closed applications; we are building ecosystems of intelligent functions that AI can combine according to business needs, allowing for unprecedented operational agility.
Is your architecture a set of connected tools or a maze of dependencies that only your team can navigate?
Making software today means designing for two types of users: the human who uses it and the AI that integrates it. If your software is too complex for an AI to consume autonomously, it will soon be too slow to compete in the market.
