¶ Platform Architecture
The eTag Fuse Platform is a governed interoperability fabric — built to coordinate humans, systems, AI assistants, and policies in composable, explainable, and policy-aware workflows.
This page defines the canonical architecture of the platform, including:
Layered execution model (Layer 0–4)
Domain-centric runtime behavior
Governance, identity, and policy enforcement
Development extensibility through frameworks
Execution and structural diagrams
This is not just integration or automation.
Fuse is a layered execution system that governs how everything works together — securely, semantically, and systemically.
¶ 
Architecture Overview
Fuse architecture is built on five composable execution layers that govern how logic is executed. These layers interact with domains — modular scopes like AI, UI, Security, and Storage — that define what is being orchestrated.
| Layer | Purpose |
|---|---|
| Knowledge (Layer Zero) |
The ambient layer that powers all execution with trusted, explainable knowledge |
 Integration |
Connects systems, APIs, and protocols across boundaries |
 Automation |
Executes logic on triggers, schedules, and rules |
| Orchestration |
Coordinates workflows, humans, systems, and AI assistants |
| Interoperability |
Executes policy-aligned, cross-domain behavior and collaboration |
Each layer adds runtime capability and enforcement to platform execution.
¶ Layered Execution Model
Diagram Description:
Imagine a vertical stack of five layers:
- At the bottom: Knowledge Layer (Layer Zero) — ambient and surrounding all other layers. It’s dashed, indicating it’s not in the execution path but injected across all others.
- On top of it:
- Integration Layer
- Automation Layer
- Orchestration Layer
- Interoperability Layer
Execution flows upward through the stack.
Knowledge flows horizontally and across all layers.
This model shows that no integration, automation, or AI decision is trusted unless governed by explainable knowledge.
¶ 
Domains of Interoperability
Domains represent what participates in execution. Each domain provides composable capabilities like:
Intelligence — Governs AI assistants, prompt routing, tool orchestration, and explainability.- Knowledge — Manages embeddings, artifacts, context injection, and semantic memory.
Security — Enforces access control, token scopes, policy gates, and approvals.- Workflow — Coordinates multi-step human and AI workflows.
UI — Delivers contextual forms, dashboards, task views, and embedded apps.
Storage — Manages file injection, runtime artifacts, and data versioning.
System — Orchestrates runtime environments, containers, and packaging.
Each domain is governed, reusable, observable, and plugged into one or more execution layers.
¶ Execution Across Layers and Domains
Diagram Description:
Visualize a grid:
- Rows = Execution Layers (Knowledge ? Interoperability)
- Columns = Domains (AI, Security, UI, etc.)
Each domain activates specific layers:
- The Intelligence domain uses Automation, Orchestration, and Interoperability for prompting, decisioning, and AI action-taking.
- The Security domain spans all layers — from securing APIs (Integration) to enforcing runtime policy gates (Interoperability).
- The Knowledge domain works ambiently and across layers — injecting prompts, enriching context, and enforcing lifecycle trust.
Domains plug into the execution stack. The stack enforces governance and behavior across domains.
¶ Governance and Runtime Enforcement
Governance is not optional. Fuse enforces:
Runtime policies tied to identity, tokens, and context
Approval chains and escalation paths within workflows
Audit logs and traceability across all execution and assistant decisions- Scoped access enforcement across workflows, pages, and APIs
Trust lifecycle enforcement across knowledge and system artifacts
This happens dynamically — at execution time — across all actors, including humans, systems, and AI assistants.
¶ Platform Extensibility
Fuse is extensible by design. Developers can extend any layer or domain through modular frameworks:
- Workflow Framework — Build reusable workflow components, retry logic, and multi-step orchestrations.
- AI Framework — Register prompts, tools, assistants, and track explainability.
- Knowledge Framework — Define resources, embedding flows, and semantic indexes.
- Provisioning Framework — Manage roles, tokens, and identity provisioning across providers.
- Storage Provider Framework — Integrate external file and blob storage services.
Explore all development frameworks — See how Fuse can be extended securely across all domains and execution layers.
¶ 
Full Stack Perspective
Fuse spans multiple architectural scopes:
- Horizontal Execution Stack (Layer 0–4) — Governs execution flow.
- Vertical Layers like:
- Governance — Policies, tokens, trust, access
- Provider Layer — Extensibility to identity, AI, automation, or storage providers
System Layer — Deployment, containerization, isolation, HA, and observability
Together, these form the Execution Fabric — where policy-aware interoperability is orchestrated in real time across AI, systems, and humans.
This structure allows Fuse to behave as an Interoperability Operating System — composable, secure, and systemic.
¶ 
Related Pages
-
Layers of Interoperability
Describes each execution layer — from Integration to Interoperability — and how they enforce explainability and traceability. -
Domains of Interoperability
Defines the governed, pluggable domains (e.g., AI, Security, Storage) that participate in orchestrated execution. -
Knowledge as Infrastructure
Explains the strategic framework and lifecycle for operationalizing knowledge across domains and AI systems. -
Development Framework Index
Provides the full list of extensibility frameworks for building secure, modular logic inside the Fuse platform. -
Positioning Frameworks
Outlines messaging strategies for presenting Fuse to executives, architects, and partners. -
Intelligence Domain
Describes how AI assistants, prompts, and tools operate with policy, traceability, and scoped execution. -
Security Domain
Explains how tokens, roles, approvals, and risk-based policies govern access and flow.
¶ 
Next
Next: Layers of Interoperability — Explore how each layer contributes to explainable, policy-aware execution.
¶ Audio
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eTag Fuse Architecture Overview
This audio conversation explores the architectural design of the eTag Fuse platform, detailing layers such as Engagement, Experiences, Platform, and System. It covers key components like the Fuse Hub, Fuse Engine, integration capabilities, and scalability, providing listeners with insights into how the platform supports business processes and technical interoperability.