
AI isn’t the bottleneck. Infrastructure is. That’s the quiet killer of most enterprise AI efforts. You’ve got a cutting-edge agent prototype that performs well in demos, but it chokes the moment you try to move it beyond the lab. Why? Because real-world data isn’t clean. It isn’t centralized. It’s everywhere and traditional workflows demand you…

ETL and other data remodeling projects are, quite possibly, the biggest blockers of AI agent development. According to BCG, 74% of organizations struggle to achieve value from their AI initiatives, only 4% have developed truly cross-functional AI capabilities, and 29% of AI agent projects missed deadlines in 2024. AI agents are only as good as…
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