Abeam and Notion target enterprise knowledge for AI agents

The article frames its topic as a shift already underway: the center of AI use is moving from generative AI toward AI agents, which are expected not just to answer questions or draft documents but to judge the state of work and autonomously carry out necessary tasks. Abeam Consulting and Notion's initiative is positioned as a response to what that shift leaves unresolved.

The gap they point to is the company-specific context that general-purpose AI performance cannot cover. Examples the article gives are sales decisions about which proposal to prioritize and how similar past deals were judged, and, in HR, accounting and legal, the background behind decisions and how exceptions were handled. Such information is not neatly stored in manuals or databases; it is spread across meeting discussions, past materials and employees' experience. The article's logic is that this is why deploying an AI agent on its own yields only individual task efficiency rather than broader change.

The stakes, as the article presents them, hinge on whether enterprises can turn that dispersed and tacit knowledge into something AI can reference. If they can, the payoff is framed as a move toward AI-based operations and organization; if not, the result is likely to stay confined to narrower task-level gains.