About HaNonn

HaNonn develops Decision Architecture and AI Decision Applications for Customer & Commerce Decisions. Its work is structured around Intent-to-Income™, a proprietary Reference Decision Architecture within AI-first Decision Intelligence.

Decision Intelligence provides a context for designing systems that apply Data, Analytics, AI, and Decision Logic to support and structure decision-making.

Within this context, HaNonn begins by understanding the decisions users need to make, then connects Decision Need, Evidence, Criteria, Comparison, and Next Steps into structured Decision Support.

HaNonn develops three areas that work together within AI-first Decision Intelligence: Decision Architecture, Core Architecture Components, and AI Decision Applications.

Intent-to-Income™ is HaNonn’s proprietary Reference Decision Architecture for connecting Decision Signals and Decision Context to Decision Need, Decision Support, Decision Quality, and Measurable Outcomes.

The Architecture provides a reference for designing Decision Support, while its Core Architecture Components can be applied through AI Decision Applications.

In application, Decision Architecture and Core Architecture Components are adapted to a defined task and Decision Context.

HaNonn Decision Composer™ illustrates how the Architecture and its Components can support the evaluation of product alternatives without making the final decision on the user’s behalf.

HaNonn applies Decision Architecture and Decision Support primarily to Customer & Commerce Decisions.

The starting question is: “What decision is the user trying to make, and what do they still need to move forward?”—not simply what the business should present or where it should direct the user.

Customer Decisions describe broader user decision situations, while Commerce Decisions apply that focus to products, services, and offers. The two may overlap depending on Decision Context.

These terms represent HaNonn’s strategic focus; they are not standardized subcategories of Decision Intelligence.

Decision Architecture and Core Architecture Components provide a shared foundation for developing and exploring Domain Applications. Each domain requires its own Decision Context, Evidence Requirements, Criteria, constraints, and Measurement Logic.

The Architecture may provide a shared reference across domains, but domain-specific Criteria, Evidence, constraints, and validation must be defined separately.

HaNonn distinguishes published work, proposed constructs, prototype implementation, and work under evaluation so that the status and limits of available evidence remain clear.