Short answer
A reasoning engine is the component of an AI system that plans, decides, and chains steps toward a goal, deciding what to do next rather than only predicting the next word. It turns a model's raw language ability into directed, multi-step problem solving.In practice a reasoning engine breaks a request into steps, calls tools, evaluates results, and revises its plan until the goal is met or it hands off. It is what separates an agentic system that resolves an issue from a chatbot that simply answers. Modern reasoning often runs on top of a large language model, with scaffolding that controls how the model thinks through a task.
Reasoning engine is an industry term, not an Aide-owned one. In Aide, the AI platform for customer service, reasoning is constrained, not open-ended. The reasoning a customer-facing agent is allowed to perform is bounded by the relevant intent and its ASOP (Agentic SOP), so the system reasons inside a verified, intent-scoped procedure rather than improvising across the whole queue.
Every step of that reasoning is recorded and reviewable, so decisions are auditable, not opaque, and the team keeps its grasp of how resolutions actually happen.