Provenir AI Decisioning Platform

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.

Tools and systems that help users understand what has happened and why through dashboards, reports, and visualizations. This is typically the first layer in the analytics stack.

Broad, foundational ecosystems that support the full lifecycle of decision intelligence—including data ingestion, modeling, decision logic, orchestration, and monitoring. Often includes modular components or composability. For purposes of DecideWise, the solution must deliver on a minimum of three capabilities in an integrated fashion to be considered a Platform.

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.