MIZ OKI 3.5 is the first Business General Intelligence platform where autonomous agents propose actions, but a Decision Control Plane verifies, simulates, and authorizes every decision before execution. No more black-box AI. Full auditability. 50-75× faster decisions.
No rip-and-replace. No black-box autonomy. Agents cannot bypass governance.
Every decision flows through a verifiable pipeline. PLAN and VALIDATE stages ensure proposals are challenged before the Decision Control Plane authorizes execution.
↺ LEARN feeds outcomes back into SENSE — continuous improvement from real results
Four architectural breakthroughs that enable verifiable, governed autonomy—suitable for enterprise and regulated environments.
Centralized authority that receives proposals from autonomous agents and authorizes, rejects, modifies, or defers them. Agents cannot bypass the DCP—this separation of proposal from authorization is a fundamental architectural constraint.
Planner, Verifier, Risk, and Policy agents independently evaluate each proposal. Disagreement is signal, not error. Arbitration resolves conflicts based on confidence thresholds and historical accuracy.
Before execution, simulate the proposed action, alternatives, and a no-action baseline. Learn from simulated outcomes without real-world risk. Authorization denied when alternatives score higher.
Decision memory and audit spine. Stores facts, proposals, simulations, outcomes, and causal confidence with timestamps. Every decision is traceable. Every outcome feeds learning.
Every action is logged. Every decision is auditable. Performance improves continuously through the Learn cycle.
Each stage is powered by a specialized Autonomous Decision Controller (ADC) with explicit algorithms and audit trails.
Autonomous attention allocation calculates priority scores based on impact magnitude, uncertainty, time criticality, and strategic alignment. Ingests live signals from ERP, CRM, market data, and operations. Dynamic thresholds adapt to system load.
Causal GraphRAG traverses the knowledge graph using causally-informed queries—not just semantic similarity. Automated confounder detection. Analysis depth scales with decision value and uncertainty reduction potential.
Generates candidate actions through causal reasoning over the knowledge graph. Multi-objective optimization considers probability, value, and ethical alignment. Multiple alternatives are always generated.
Independent Verifier, Risk, and Policy agents challenge every proposal. Disagreement is measured and weighted. The system doesn't require consensus—arbitration resolves based on confidence thresholds.
The DCP calculates authorization scores combining causal confidence, validation agreement, simulation delta, policy compliance, and historical performance. Approve, modify, defer, reject, or escalate.
Orchestrates execution with dependency resolution and adaptive rollback. Performance deviation triggers automatic rollback strategies—immediate, gradual, partial, or checkpoint-based.
Prioritizes learning by prediction error, business impact, knowledge gap, and frequency. Updates models with stability-plasticity balance. Feeds outcomes back into SENSE for continuous improvement.
Deploy in weeks, not months. Each template includes pre-trained causal models, agent configurations, and compliance frameworks.
Demand forecasting • Pricing optimization • Inventory risk • Customer behavior models
Risk exposure • Scenario simulation • Portfolio automation • Fraud patterns
Bottleneck prediction • Cost optimization • Disruption response • Production flows
Compliance automation • Resource optimization • Clinical pathways • Outcome forecasting
Attribution models • Channel optimization • Creative performance • Threshold-aware bidding
Quality models • Maintenance schedules • Supply chain optimization • Production optimization
Full decision traceability. Explainable reasoning. Quantum-resistant security. Deploy on your cloud or ours.
CRYSTALS-Kyber key encapsulation, CRYSTALS-Dilithium signatures. Future-proof cryptography.
Every proposal, validation, simulation, and execution is cryptographically signed and logged.
Full override capability. Configurable thresholds. Automatic escalation for novel situations.
Kubernetes namespace isolation. Tenant-specific knowledge graphs. Federated learning with differential privacy.
Causal pathways for every decision. Transparent reasoning. No black-box mystery.
Operational queries under 100ms. Full decision cycle under 60 seconds. Real-time intelligence.
Estimate your ROI in 60 seconds, or see the full platform in a 12-minute walkthrough.