Pre-configured templates with industry-specific causal models, compliance frameworks, and agent configurations. Deploy in weeks, not months.
Each industry template runs the same 7-stage autonomous decision pipeline
βΊ LEARN feeds outcomes back into SENSE β continuous improvement from real results
Threshold-aware media buying that works with platform algorithms, not against them.
Automatically detect when campaigns approach Meta's ~50 event/week threshold. Consolidate ad sets and protect learning stability before performance degrades.
Identify minimum viable budgets for stable delivery using controlled stair-step testing. Find the activation point where CPM/CPA efficiency improves.
Monitor Event Match Quality, pixel/CAPI deduplication, and conversion windows. Ensure the algorithm receives clean, high-intent signals.
Causal analysis of creative angle β CTR β conversion pathways. Distinguish correlation from causation in creative testing.
Meta's ad delivery behaves non-linearlyβlike a ReLU activation function. Below certain thresholds, effort feels invisible. Above them, learning compounds. MIZ OKI 3.5 helps you identify and cross these thresholds systematically.
Ensure ~50+ optimization events/week per ad set to exit learning phase.
Clean tracking = voltage. Noisy instrumentation fails to activate learning.
Fewer, stronger learning loops. Stop diluting budget across fragmented ad sets.
Causal analysis and counterfactual simulation for high-stakes financial decisions.
Autonomous rebalancing proposals with Monte Carlo simulation of volatility and tail scenarios. Execute within predefined risk envelopes.
Temporal causal models identify factor exposures and regime change indicators. Stress test against historical and hypothetical scenarios.
Knowledge graph pattern matching identifies anomalous transactions with explainable causal pathways. Reduce false positives by 60%+.
Causal reasoning over applicant profiles with full auditability. Regulatory-ready explainability for every decision.
From demand forecasting to dynamic pricing, autonomous decisions across the retail value chain.
Causal models identify true demand drivers vs. spurious correlations. Account for promotions, seasonality, and external factors.
Real-time price optimization with counterfactual simulation of competitor response and demand elasticity.
Autonomous reorder decisions balancing stockout risk against carrying costs. Multi-location optimization.
Identify causal drivers of churn, not just correlates. Personalized intervention recommendations with ROI simulation.
Autonomous decision support with full HIPAA compliance and clinical governance.
Optimize staffing, bed allocation, and equipment utilization based on predicted patient flow and acuity.
Causal analysis of treatment pathways identifies interventions that improve outcomes, not just correlates.
Identify causal risk factors for readmission with explainable reasoning for clinical teams.
Autonomous inventory decisions for pharmaceuticals and supplies with expiration tracking and demand forecasting.
From predictive maintenance to supply chain optimization, autonomous decisions on the factory floor.
Causal models identify true failure precursors. Schedule maintenance based on actual condition, not arbitrary intervals.
Autonomous scheduling decisions balancing throughput, quality, and resource constraints with counterfactual simulation.
Root cause analysis using causal discovery. Identify process parameters that actually drive defects.
Autonomous supplier selection and order allocation with disruption scenario simulation.
Pre-configured causal models, agent configurations, and compliance frameworks. Deploy in weeks, not months.
Complete attribution modeling, platform integrations, and threshold-aware optimization for Meta, Google, and programmatic.
Risk models, fraud patterns, and compliance frameworks for banking, insurance, and asset management.
Demand forecasting, pricing strategies, and inventory optimization for omnichannel retail.
HIPAA-compliant clinical decision support with EHR integration and outcome prediction models.
Predictive maintenance, quality control, and production scheduling for discrete and process manufacturing.
Start from scratch with our template builder. Configure your own causal models, agents, and compliance rules.
See how MIZ OKI 3.5 can transform decision-making in your organization. Start with an ROI estimate or schedule a walkthrough.