Three Bottlenecks in Enterprise AI: Evals, Harness, and Talent
realmadhuguru · x · 2026-07-17
The main bottlenecks preventing enterprise AI applications from moving beyond basic chatbots lie in three areas:
- Evals: Enterprises must accurately translate business scenarios into offline and online evaluations to select the best model based on quality, cost, and latency.
- Harness: A system independent of the underlying LLM is needed to manage routing, multi-agent orchestration, context management, tool calling, and memory mechanisms.
- Talent: Engineers capable of building and maintaining these cutting-edge architectures are the scarcest resource in the market today.
As operations extend into complex multi-agent orchestration and long-context scenarios, model portability will decrease, forcing enterprises to deeply integrate with specific architectures and maintain ongoing investment.
Related event: Evals, Orchestration, and Talent: The Three Bottlenecks in Enterprise AI(2 posts)→
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