A four-layer cognitive architecture with four core innovations that enable verifiable, governed autonomous decision-making at enterprise scale.
Each layer serves a distinct purpose in the autonomous intelligence pipeline, from data foundation to secure integration.
A hybrid knowledge graph architecture that serves as the central dynamic knowledge core. Integrates multiple databases optimized for different workloads while maintaining consistency through versioned metadata and automatic reconciliation.
Combines Causal GraphRAG operations, temporal causal inference, mixture-of-experts routing, and reinforcement learning. Derives context, proposes actions, and adapts policies over time based on outcome feedback.
Houses the Autonomous Decision Controllers (ADCs) and coordinates the SRDPV-DAL pipeline. Implements agentic workflows, dynamic expert creation, continuous validation, and performance optimization while enforcing policies.
Provides secure APIs, federated learning, and multi-tenant isolation. Uses differential privacy techniques and quantum-resistant encryption to protect sensitive data while enabling cross-tenant model improvement.
What transforms MIZ OKI 3.5 from an AI system into a verifiable, governed autonomous decision platform.
The centralized logical authority that receives all proposed actions from autonomous agents. Evaluates proposals against policy, confidence thresholds, and simulation results before authorizing execution.
Multiple specialized agent roles independently evaluate each proposed action. Planner, Verifier, Risk, and Policy agents use separate analysis pathways to challenge proposals.
Before execution, simulates the proposed action, one or more alternatives, and a no-action baseline. Uses causal models from the knowledge graph and Monte Carlo methods for uncertainty quantification.
Decision memory and audit spine. Stores not just facts and relationships, but also proposals, validation results, simulations, executed actions, and observed outcomes with timestamps and provenance.
Production-grade components selected for scale, reliability, and security.
Measured performance characteristics from production deployments.