Why AI agent governance must start with enterprise data
Executives are spending a great deal of time asking whether AI agents are ready for production, but this is the wrong place to start, because agents aren’t acting in a vacuum. The quality of their decisions depends heavily on the quality of the data they use.
Model security and performance matter, of course, but they cannot compensate for weak control over the information the agent can retrieve. Before putting an agent into production, an organization needs governed inputs, appropriate access and a reliable record of what the agent produced.
CEO at Archive360.
Give an agent outdated customer information, duplicate records or material that was never properly classified, and it will work with what it has, making poorly informed decisions quickly across thousands of transactions.
Unfortunately, the gap between adoption and governance is widening fast. In the rush to adopt AI, many organizations are pushing agents into production before they have...
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