Your data is weak: Why agents fail without this infrastructure fix
xebia cto niels zeilemaker emphasizes that agentic ai success depends entirely on data availability. without a strong ingestion foundation, ai agents cannot scale to automate business processes effectively.
xebia global cto niels zeilemaker outlined the prerequisite infrastructure required for organizations to successfully deploy and scale ai agents. he argues that while agents offer process acceleration, their success is contingent on making internal data accessible and consumable by ai systems. zeilemaker emphasized that agentic ai scales on data strength, implying that current data architectures are often insufficient for autonomous workflows. this perspective challenges the rush to deploy advanced models, suggesting that data engineering is the primary bottleneck for enterprise ai adoption. companies prioritizing agent capabilities over data readiness may face failed deployments as agents lack the necessary context to operate.