NEES: A Governance Architecture for Emotionally Intelligent AI Systems Intent-Aware Interaction, Identity Continuity, and Emotional Context Modeling for AI Applications

This paper introduces NEES (Neuro-Emotional Emergent System), a governance architecture designed for emotionally intelligent AI systems.

While modern large language models demonstrate strong language generation capabilities, most AI systems still operate within a prompt-response paradigm that lacks structured interaction governance.

The NEES framework introduces a governance layer between application interfaces and model providers. This architecture enables AI systems to interpret user intent, model emotional context signals, maintain identity continuity, and apply structured memory governance across interactions.

The system is implemented through the NEES Governance Proxy, which regulates the interaction pipeline before responses reach the user interface layer.

Demonstration implementations including the Naina Persona interaction system and domain-specific applications illustrate how governance architectures can stabilize AI behavior without modifying the underlying model.

The NEES framework proposes a shift toward governance-oriented AI architecture where interaction stability, intent awareness, and identity continuity become core system components.

Author: Piyush Jambhulkar  (Anna)
Organization: Nainacore Emotional Tech