Pega Customer Decision Hub

Tools and platforms designed to create, deploy, and manage applications—often with built-in support for embedding decision logic, AI components, or workflows. Includes both traditional dev environments and no/low-code solutions.

Model-driven systems that use historical data and complex mathematics to forecast future outcomes or anomalies. Includes statistical modeling, machine learning, and time-series forecasting.

Systems that apply business logic through rule-based engines (e.g., if-then-else structures) to automate decisions. These are often used in compliance-heavy domains and customer decision flows. In most cases rules systems make calls to data, analytics, AI, or experts in their execution.