Enterprise AI doesn't need a better model. It needs smarter agent logic.

Enterprise AI pilots fail not due to weak models, but lack of "agent logic" which provides domain-specific software primitives to steer LLMs for enterprise workflows. This approach significantly reduces token consumption and improves performance in use cases like legacy code understanding and test generation.