AI agents that make decisions, not just recommendations
Autonomy is the first purpose-built Decision Intelligence Platform for supply chain — modeling, orchestrating, monitoring, and governing every planning decision with autonomous AI agents. 20-35% cost reduction with full explainability and human override.
Three Pillars of Autonomous Planning
Each capability reinforces the others, creating a compounding advantage.
AI Agents
11 specialized agents execute narrow supply chain decisions at machine speed. From ATP allocation to purchase orders to manufacturing execution. Each decision is explainable and overrideable.
- Compact, purpose-built models
- <10ms inference latency
- Calibrated confidence scoring
Stochastic Planning
Plan with uncertainty, not despite it. Every KPI is a probability distribution, not a point estimate. Monte Carlo simulation across 1,000+ scenarios quantifies risk before you commit.
- 20 distribution types
- Probabilistic balanced scorecard
- Variance reduction techniques
Digital Twin Simulation
Validate AI agents in a risk-free digital twin before production deployment. The Beer Game module lets teams compete against AI to build confidence in autonomous decisions.
- Multi-echelon simulation
- Human vs AI competition
- Training data generation
Five Layers of Decision Coordination
Information flows down as policy and directives, back up as signals and outcomes. Each layer operates at its natural time horizon.
Strategic Consensus
Layer 4 · Weekly
Analyzes supply chain topology — bottlenecks, concentration risk, fragility — and computes policy parameters that shape all downstream behavior.
Network Coordination + Cross-Authority
Layers 2-3 · Daily + Ad Hoc
Generates daily site directives — demand forecasts, exception probabilities, priority allocations. Cross-functional trade-offs resolve at machine speed via the authorization protocol.
Site Cross-Agent Coordination
Layer 1.5 · Hourly
Learns causal relationships between 11 agents at each site. Predicts cascade effects — a production spike will create quality load hours later — and pre-adjusts urgency before the cascade unfolds.
11 Execution Agents
Layer 1 · <10ms per decision
Specialized agents execute narrow decisions at machine speed: ATP, purchase orders, rebalancing, manufacturing, quality, maintenance, and more. Coordinated via biologically-inspired signal propagation.
From 847 Exceptions to 14
What happens when an enterprise planner arrives Monday morning.
A planner arrives to 847 exceptions across the network. Autonomy's agents have already evaluated every one. By the time she opens her dashboard:
780
Auto-Resolved
Within guardrails, no human needed
53
Informational
Handled, flagged for awareness
14
Need Judgment
Ranked with trade-off analysis
0
Missed
Every exception evaluated
She spends her morning on the 14 decisions that actually need human expertise — cross-functional trade-offs, novel supplier situations, strategic pivots. Each one arrives pre-analyzed with ranked options and full balanced scorecard impact. Every override she makes teaches the system for next time.
Adoption Builds Trust Through Measurement
Week 1
~45%
Auto-executed decisions
Week 12
~72%
Auto-executed decisions
Steady State
~85%
Auto-executed, <10% overridden
A Decision Intelligence Platform, Not a Planning Tool
Autonomy implements Gartner's full DI lifecycle — model, orchestrate, monitor, govern — natively for supply chain.
Decisions as First-Class Assets
Every recurring decision — stocking, ordering, allocating — is a trackable digital asset with defined inputs, logic, ownership, and measured outcomes. Not an implicit output of a planning run.
Full Decision Lifecycle
Model, orchestrate, monitor, and govern decisions end-to-end. From decision modeling through agent execution to outcome tracking and continuous learning.
Measured Maturity Progression
Progress from Support to Augmentation to Automation — governed by measured decision quality, not arbitrary trust thresholds. Override effectiveness is measured and tracked statistically.
Full Explainability
Every AI decision comes with reasoning grounded in specific data: this order, this inventory level, this lead time. Ask Why at any point in the decision chain.
Guardrail Governance
Set business rules — max order value, min service level, cost ceiling. Agents act within bounds automatically and escalate what exceeds them. Every override teaches the system.
Domain-Native Intelligence
Purpose-built for supply chain with 35 AWS SC entities, 11 specialized agents, and 21 distribution types. Not a generic DI platform that requires customization.
Built for Enterprise Scale
Grounded in Research & Industry Frameworks
Autonomy's architecture draws from Gartner's Decision Intelligence framework, peer-reviewed research, and proven decision science.
Gartner Decision Intelligence
DIP Framework (2026)
Autonomy implements Gartner's full DI lifecycle: decision modeling, orchestration, monitoring, and governance. 50% of SCM solutions will use intelligent agents by 2030.
Sequential Decision Framework
Decisions Under Uncertainty
A unified framework for decision-making under uncertainty. Four policy approaches — rules, optimization, learning, and simulation — structure our five-layer agent hierarchy.
Decision Science
From Information to Action
Decision Intelligence as the discipline of turning information into better actions. Analytics, statistics, and ML unified through decision quality, not just prediction accuracy.
Compact Neural Architecture
Purpose-Built Execution Agents
Small, focused models that outperform general-purpose AI on structured supply chain reasoning. Purpose-built for speed and reliability at the execution layer.
Confidence Guarantees
Distribution-Free Bounds
Every agent decision carries a calibrated confidence interval. When confidence is low, decisions route to higher-tier reasoning automatically.
Causal Decision Modeling
Levers → Intermediaries → Outcomes
Decisions as digital assets with explicit causal chains from levers through intermediaries to outcomes. Every execution agent maps to a formal causal decision model.
Ready to see Autonomy in action?
See how autonomous AI agents transform supply chain planning from reactive firefighting to proactive governance.