A unified architecture for governing agentic AI in live environments.
ARCHAI is a composable governance stack that binds identity, intent, memory, agency, and accountability into a single operational system for real-world AI deployment.
The ARCHAI stack is designed as a modular, interoperable governance fabric.
Identity as a first-class primitive. IDENTARCH defines how agents, humans, systems, and data are bound into a coherent identity model that can be governed, audited, and constrained in real time.
Intent binding and constraint. INTENTUM captures, constrains, and operationalizes intent so that agentic systems act within explicit, inspectable boundaries instead of opaque heuristics.
Memory as governed infrastructure. MNEMARCH defines what can be remembered, for how long, and under which obligations.
Orchestrated agency. AGENTUM governs how agents are instantiated, composed, and coordinated, ensuring that emergent behavior remains within accountable bounds.
ACCOUNTUM binds the entire stack into a traceable, enforceable accountability layer.
From obligation to enforcement. ACCOUNTUM defines how obligations are attached to actions, how those actions are recorded, and how enforcement can be triggered when governance boundaries are crossed.
Live governance, not static policy. Continuous evaluation, real-time controls, and feedback loops that keep agentic AI aligned with institutional intent.