A Contextual Intelligence Engine collects and analyzes signals — user roles, conversation history, business rules — to give AI agents memory, situational awareness, and the ability to make smarter decisions based on the current context.
Rather than treating every interaction as isolated, the engine maintains and applies relevant context so agents can respond appropriately to the actual situation rather than generic inputs. The result is an AI that behaves less like a search engine and more like a knowledgeable colleague who remembers prior conversations and understands the business context.
