The Single-Model Trap That's Stalling Enterprise AI

A financial institution spent four months building an AI agent around one large language model, then paused production due to latency, cost, and accuracy issues. Tavant's Sandeep Shivam argues that production agents should use specialized models working together, not one model doing everything. MIT's NANDA initiative found 95% of enterprise generative AI pilots fail to deliver measurable financial impact.