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Synapta Enterprise Process Graph (EPG)

Systemic Intelligence for Live Enterprises

Systemic Intelligence for Live Enterprises

Enterprise Process Graph (EPG)  is a runtime, causal intelligence layer that connects live Process Digital Twins (PDTs) into a single, time-aware enterprise graph—revealing how work, resources, inventory, facilities, and decisions impact each other across the organization.

EPG does not execute processes.
EPG explains what local execution means systemically.

The Problem EPG Solves

Modern enterprises don’t fail inside individual processes.

They fail between them.

  • Bottlenecks emerge across shared resources
  • Local optimisations create global degradation
  • Exceptions propagate silently until KPIs collapse
  • Root cause analysis becomes reactive and tribal
  • “Autonomy” breaks under enterprise-scale complexity

Process Digital Twins tell you what is happening locally.
EPG tells you what is happening to the enterprise.

What Is Enterprise Process Graph (EPG) ?

EPG is a live, causal, time-aware graph that models relationships between running process twins and their shared constraints, not the processes themselves.

It exists to answer questions no single process, system, or control tower can answer alone:

  • If this process degrades, what else is impacted?
  • Where will this exception propagate next?
  • Is this bottleneck local—or systemic?
  • What is the enterprise-level consequence of this decision?

EPG derives systemic intelligence from execution truth—without interfering with it.

What EPG Is — and Is Not

EPG IS

  • A runtime causal graph
  • A system-level intelligence layer
  • A dependency and impact reasoning engine
  • A foundation for safe enterprise autonomy
  • An explainability backbone for executives and planners

EPG IS NOT

  • A workflow engine
  • A BPMN model
  • A control tower
  • A knowledge graph
  • A visualisation layer
  • A replacement for Process Digital Twins

Core Concept: Systemic Causality

Nodes

  • Process Twins (orders, replenishments, shipments, batches)
  • Resource Twins (labour pools, AGVs, machines)
  • Inventory States
  • Facility & Zone Twins
  • Decision Twins (optional)

Edges (Typed & Semantic)

  • Depends_on
  • Consumes
  • Produces
  • Executed_by
  • Located_in
  • Affects
  • Aggregates

Edges are:

  • Directional
  • Time-bounded
  • Confidence-aware

Why PDT Alone Is Not Enough

Process Digital Twins excel at:

  • Local execution truth
  • Process-level causality
  • Exception memory
  • KPI tracking
  • Local simulation

But enterprises fail at intersections:

  • Between processes
  • Between sites
  • Between shared resources
  • Between planning and execution

Without EPG:

  • Optimisation stays local
  • Root cause remains fragmented
  • Enterprise decisions are blind
  • Autonomy becomes brittle

EPG ↔ PDT Integration (Strict by Design)

PDT emits semantic signals, not raw events:

  • RESOURCE_CONSTRAINED
  • SLA_CONFIDENCE_DECAY
  • EXCEPTION_PATTERN_DETECTED


Signals are:

  • Time-contextual
  • Confidence-weighted
  • Execution-agnostic


EPG → PDT (Not Allowed)
EPG:

  • Never mutates process state
  • Never orchestrates execution
  • Never overrides execution truth


All influence flows through:

  • Simulation
  • Decision twins
  • Human approval


Explicit intervention APIs

What EPG RT Delivers

System-Level Impact Propagation

Cross-Process Bottleneck Detection
Distinguish between isolated delays and systemic constraints.
Enterprise KPI Aggregation
Understand performance at the system level, not just per process.
Dependency & Causality Tracing
Answer “why did this happen?” with defensible, explainable paths.
Safe Autonomy Enablement
Enable autonomy without losing control, stability, or trust.

Simulation Without Corrupting Reality

EPG does not simulate execution.

Instead:

  • Simulation forks PDT state
  • EPG provides impact subgraphs
  • Results return as decision inputs, not state changes

This prevents:

  • Planner-induced instability
  • Feedback oscillations
  • Execution corruption

Built for Runtime Reality

  • Graph-native runtime (designed for live traversal)Temporal, confidence-aware edges
  • Derived, non-authoritative state
  • Edge-deployable subgraphs for site autonomy
  • Enterprise-level reconciliation upstream

A Separate Product — By Design

  • EPG RT is:

    • Licensed at enterprise scope
    • Positioned as a systemic intelligence layer
    • Marketed independently

    But:

    • EPG must never exist without PDT
    • PDT must never depend on EPG for correctness

    This preserves:

    • Technical integrity
    • Product defensibilityClear go-to-market boundaries

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