Sales enablement has spent years trying to solve the access problem.
We designed portals to help sellers locate content and developed learning pathways for structured programmes. Additionally, we created playbooks, certification journeys, videos, battlecards, coaching tools, and content libraries. While each of these has value, they haven't completely addressed the larger challenge.
The key challenge isn't about the existence of knowledge, but whether it can be applied precisely when it’s needed.
Most sales organisations are not lacking content; in fact, they often have an excess. Product decks are stored in one location, methodologies in another, customer stories are dispersed across various folders, pricing guidance is hidden within documents, and deal insights are found inside CRM, call recordings, and manager conversations. Sellers are then tasked with consolidating all this information, interpreting it accurately, and converting it into actionable steps.
That is a lot to ask, especially in a live commercial environment.
That's why MCP, or Model Context Protocol, deserves attention. MCP is a systematic protocol that links AI systems with tools, data sources, and business systems; while that might sound quite technical, the broader strategic significance is significant. In the simplest terms, MCP offers a more dependable method for AI agents to engage with the actual libraries of organisational knowledge.
This matters because agentic AI isn't just another search layer; it's not merely about formulating better questions and receiving improved answers. The true potential lies in AI's ability to assist people in completing workflows.
In sales enablement, that changes the conversation.
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