Complex "Reasoning Models" offer deeper insights but often come with higher latency. In internal tooling, this trade-off requires careful management to ensure adoption.
Internal workflows are often fast-paced. If an AI tool takes 30-45 seconds to return an answer, users may abandon it in favor of faster, manual alternatives (like searching Google or asking a colleague). Friction reduces usage.
Prioritize speed for establishing user habits. Techniques like Optimistic UI (showing progress instantly) or Model Distillation (using smaller, faster models for routine tasks) can dramatically improve the "felt speed" of the application, driving higher long-term retention.