MIT Technology Review's focus on connecting AI agents to enterprise knowledge gets at the difference between a clever demo and a useful business system.
Agents need access to documents, tickets, databases, policies, and decision history to do meaningful work. But the same access creates risk if permissions, freshness, and source authority are not handled carefully.
The next enterprise AI winners will not simply plug models into everything. They will build disciplined context layers that know what an agent may read, what it may change, and when it has to ask.
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