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Direct AI Selection and Its Impact on Multi-LLM Orchestration Platforms As of April 2024, roughly 54% of enterprise AI projects fail to deliver expected value, often due to over-reliance on a single large language model (LLM) without considering its limitations. The complexity of business decisions demands more than one AI perspective, yet the trend in enterprise AI tools still leans heavily on monolithic models, which can misfire at critical moments. That's where dire

When a Hospital CTO Must Choose an LLM for Clinical Decision Support: Aisha's Story Aisha, the CTO of a mid-sized hospital network, faced a choice that kept her awake for weeks. Her team needed a language model to generate discharge summaries, surface relevant past notes, and draft medication-change rationales for physician review. The promise was clear: faster documentation, fewer transcription errors, and more time for clinicians to see patients. Reality hit during