CX Cortex

The heart of CX Cortex is sentiment analysis. The platform automatically transcribes call recordings and reads through emails, then uses AI to judge the tone and context of each interaction. We built this on the OpenAI APIs, which let the platform understand what was said and how it landed, rather than just logging that a conversation happened.

From that analysis, CX Cortex produces behaviour summaries. These let a business see which interactions need attention first, give managers accurate detail for coaching staff, and feed a knowledge base that improves as more conversations pass through it. The platform can also triage incoming interactions and suggest responses based on what has worked before, which helps teams handle a high volume of contact without every case starting from scratch.

CX Cortex is used by several brands at once, so we built it as a multi-tenant application. That means one platform serves many separate businesses, with each one's data kept properly isolated from the others. Alongside that, we implemented role-based access control, known as RBAC, so that within each business people only see and do what their role allows. An agent, a team leader and an administrator each get a different view.

We built the platform on Next.js using the T3 stack, a set of tools built around Next.js that keeps the code type-safe from the database through to the interface. For a platform handling sensitive customer data across multiple businesses, that consistency reduces the room for errors and makes the system easier to extend as Hostcomm adds capabilities.