Why Production AI Fails (And It's Not the AI)

AI agents often struggle in production due to infrastructure and management challenges, rather than flaws in the AI itself. At Vertesia, the transition from demonstration to production highlights the need for robust infrastructure, termed "the harness," which supports reliable execution, intelligent resource management, and effective document processing. The infrastructure must handle real-world events and ensure that tools work cohesively, minimizing errors and maximizing efficiency. The system should also provide capabilities for memory retention and process control, allowing AI agents to operate within structured workflows that combine reliability with intelligence. This approach, as discussed by CEO Eric Barroca, emphasizes the importance of infrastructure-grade reliability and intelligent management to successfully deploy AI at scale, ensuring that AI agents are not hindered by fluctuating capacity, document extraction issues, or inconsistent tool outputs.

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