Scaling AI agents with trustworthy data
TL;DR
Agentic AI has arrived in the enterprise. Organizations are rolling out agents quickly, and few executives still doubt the technology's potential to reshape work. The promised return on investment, however, often fails to materialize. The bottleneck is rarely the model itself; it is the foundation of inadequate infrastructure and poorly maintained data.
Nauti's Take
The diagnosis holds up and is usable: teams rolling out agents gain the most when data quality, access rights, and monitoring are in place first. The piece comes from the orbit of vendors selling exactly those data platforms, so the question of how much foundation is really needed deserves caution.
For a small team, one narrow use case with clean sources beats an enterprise-scale data program.
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