AIW OS Architecture
AIW OS is built on a six-layer governed stack that transforms raw intent into auditable, human-authorized decisions. Every layer has a defined role, a SEEKER loop node, and a set of governance controls that preserve human authority at every step.
The Stack
Six Layers. One Governed Loop.
Click any layer to expand its full component detail.
Define the mission before the machine moves.
Evidence-driven hypothesis testing at machine speed.
Governed action โ tools, drafts, and scenarios under doctrine.
No consequential action without human authority.
Every decision makes the system smarter and more accountable.
AIW OS governs your existing systems โ it does not replace them.
Deep Dive
Bayesian Reasoning โ Step by Step
How AIW OS moves from prior belief to confident, auditable hypothesis.
Bayesian Reasoning Engine
How AIW OS updates beliefs from prior knowledge through evidence to a confident, auditable hypothesis.
Prior P(H)
P(Hโ), P(Hโ), P(Hโ)Persona-seeded initial belief distribution across three competing hypotheses.
H1
Safe / Conservative
25%
H2
Structured / Guided
45%
H3
Strategic / Option-Rich
30%
Doctrine
Governance Principles
The non-negotiable rules that govern every layer of the stack.
Human Authority Preserved
No consequential action without human approval. HITL gates are non-bypassable for high-risk decisions.
Immutable Audit Trail
SHA-256 hashed decision records. Every action is traceable, tamper-evident, and audit-survivable.
Bayesian Transparency
Every recommendation includes its prior assumptions, evidence chain, and confidence score.
RACI Enforcement
Authority is mapped before execution. Only designated Accountable parties can approve outputs.
Compliance by Design
NIST AI RMF, SOC 2, CMMC, HIPAA, and FOIA alignment built into the architecture โ not bolted on.
Continuous Recalibration
Outcome feedback loops update Bayesian priors, making the system more accurate with every decision.
See the Architecture in Action
Explore real-world use cases or try the live Bayesian router.