When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill prescriptions. Every second of downtime meant thousands of dollars in lost revenue — and patients who could not access their medications on time.TrueFoundry, an enterprise AI infrastructure company, announced Wednesday a new product called TrueFailover designed to prevent exactly that scenario. The system automatically detects when AI providers experience outages, slowdowns, or quality degradation, then seamlessly reroutes traffic to backup models and regions before users notice anything went wrong.”The challenge is that in the AI world, failover is no longer that simple,” said Nikunj Bajaj, co-founder and chief executive of TrueFoundry, in an exclusive interview with VentureBeat. “When you move from one model to another, you also have to consider things like output quality, latency, and whether the prompt even works the same way. In many cases, the prompt needs to be adjusted in real-time to prevent results from degrading. That is not something most teams are set up to manage manually.”The announcement arrives at a pivotal moment for enterprise AI adoption. Companies have moved far beyond experimentation. AI now powers prescription refills at pharmacies, generates sales proposals, assists software developers, and handles customer support inquiries. When these systems fail, the consequences ripple through entire organizations.Why enterprise AI systems remain dangerously dependent on single providersLarge language models from OpenAI, Anthropic, Google, and other providers have become essential infrastructure for thousands of businesses. But unlike traditional cloud services from Amazon Web Services or Microsoft Azure — which offer robust uptime guarantees backed by decades of operational experience — AI providers operate complex, resource-intensive systems …
