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As AI-powered applications scale across enterprises, reliable LLM routing isn't a nice-to-have, it's mission-critical. Downtime, provider outages, and degraded model performance can cascade into real business losses. That's why failover routing has become one of the most important architectural decisions for teams running production

Healthcare organizations are deploying LLM-powered applications across clinical documentation, diagnostic support, patient engagement, prior authorization, and administrative automation. With 46% of U.S. healthcare organizations now implementing generative AI technologies, the challenge has shifted from experimentation to production-grade deployment — where HIPAA compliance, patient data protection, and operational reliability are non-negotiable.

TL;DR: Enterprise AI gateways are the control plane for every LLM call your team makes. They enforce security policies, manage costs, ensure reliability, and give you full observability over AI usage across your organization. This article compares the top 5 platforms: Bifrost, Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM,

TL;DR: As enterprises scale LLM deployments, AI gateways have evolved from simple proxy layers into full observability infrastructure. This article covers what to look for in an enterprise AI gateway, how observability fits into the picture, and why Bifrost by Maxim AI stands out as a purpose-built option for

TL;DR: LLM provider failures are not edge cases. They are a regular part of running AI in production. Retries, fallbacks, and circuit breakers each solve different failure modes, and combining them intelligently using an AI gateway like Bifrost is the most reliable path to consistent uptime for AI-powered applications.