The Decision Lifecycle

From signal to action: how DecisionOS runs.

A transparent, governed operational loop that continuously evaluates options, coordinates human and agent action, and learns from results.

The 6-Step Decision Loop

Ingest structured and unstructured signals across systems, IoT sensors, supply chain partner networks, and external data feeds.

Map the signal against the Decision Graph to identify affected assets, customer commitments, service-level agreements, and operating constraints.

Generate alternative resolution paths and evaluate tradeoffs across financial margin, customer impact, and operational feasibility.

Deliver a clear recommendation backed by confidence scores, transparent rationale, and evaluated alternatives.

Secure necessary approvals or automate updates directly into core transactional systems (ERP, WMS, TMS).

Record the outcome of the chosen action to refine models, update policies, and continuously improve future recommendations.

Autonomy Spectrum

Level	Mode	How It Works
Level 1	Assist	Surfaces critical exceptions and consolidates relevant context across systems.
Level 2	Recommend	Generates scenario comparisons, tradeoff analyses, and recommended actions for human review.
Level 3	Orchestrate	Automates scenario generation and coordinates cross-functional, multi-stakeholder approval workflows.
Level 4	Governed Autonomy	Executes routine, low-risk actions directly within strict, policy-defined guardrails.

Implementation

Select a single high-value, repeatable operational decision to model.

Integrate the necessary data sources and operational context in the graph.

Define objectives, business constraints, policies, and human approval thresholds.

Deploy in recommend mode, validate performance, and expand autonomy safely.

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