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.
Give an agent outdated customer information, duplicate records or material that was never properly classified, and it will work with what it has, making poorly informed decisions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 solved the underlying data problem, so it shouldn’t come as a surprise that the vast majority of AI projects show zero ROI.
What’s more, AI agent governance doesn’t end with the data an agent may access.
It also encompasses the data an agent produces, such as its decisions, the instructions it was given and documents it created.
As AI contributes to significant decisions within the enterprise, AI traceability and defensibility have become critical capabilities.
Organizations that build a strong data foundation put themselves in a stronger position to move from pilot to production with confidence that agents won’t transform poorly managed data into a company-wide crisis.
The data problem comes first The data governance issue is not, of course, a new problem.
Most large organizations have spent years trying to wrangle information spread across operational platforms, file shares, archives and applications that should have been retired long ago.
But because agentic AI can rapidly act on those weaknesses at scale, the issue has become more pressing now.
5News aggregated this summary from the outlet’s public feed. The full article, with all the context, is on www.techradar.com — the content belongs to TechRadar.