¶ Welcome to the Fuse Knowledge Hub
¶ Enabling Governed Knowledge for AI-Native, Multi-Domain Ecosystems
The Fuse Knowledge Hub is the shared foundation for building, validating, and scaling governed knowledge across ecosystems — enabling structured AI participation, workflow alignment, and operational clarity across teams, domains, and organizations.
This hub supports all participant organizations adopting the Knowledge as Infrastructure model — whether you’re contributing as a domain steward, publishing team guidance, or validating knowledge for AI interoperability.
¶ 
What You’ll Find Here
-
Documentation and Frameworks
Structured templates, lifecycle rules, trust enforcement models, and domain-specific knowledge governance. -
Enablement Resources
Certification paths, presentation templates, and onboarding guides for contributors, executives, and automation teams. -
Governance and Lifecycle Models
Enforced standards for publishing, auditing, trust degradation, and AI readiness across all structured content. -
AI and Assistant Participation
Policies and metadata standards enabling safe, explainable AI reuse of knowledge assets.
¶ 
Core Frameworks and Series
Explore the official models that define how knowledge is governed and operationalized across the Fuse ecosystem:
- Knowledge Architecture — Structural and metadata enforcement
- Knowledge Lifecycle Governance — Publishing, reviews, and trust scoring
- AI Assistants and Automation Framework — Role-based assistant enforcement
- Contribution and Publishing Guidelines — Authoring and validation rules
- Knowledge Trust Model — Trust levels and degradation conditions
- Implementation Roadmap — Steps for rollout across orgs and domains
For a full listing, visit the Knowledge as Infrastructure Overview
¶ 
Enablement and Learning Resources
Executive Perspectives on Knowledge Infrastructure — Short-format presentations for role-based understanding and adoption
Templates Library — Approved formats for policies, procedures, escalation playbooks, and AI prompts
AI Readiness Standards — Ensures content is safe and explainable for assistant access
Knowledge Scorecard and Metrics — Track document health, compliance, and AI eligibility
¶ 
Collaboration and Contribution
All contributors, whether human or AI assistants, participate under the same enforcement model:
- Role metadata and review obligations are strictly validated
- Publishing is gated by scorecard enforcement and lifecycle status
- Assistants are scoped by authority levels, trust configuration, and document eligibility
- All activity is logged under Audit and Traceability
To become a contributor or approver, follow the Publishing Guidelines.
¶ AI Participation and Lifecycle Enforcement
AI Assistants actively support:
- Monitoring
nextReviewDueand trust levels - Flagging validation issues or metadata misalignment
- Suggesting updates or publishing metadata corrections
- Validating compliance before content is used in inference
Governed by the AI Assistants Framework
¶ 
Participant Organizations
This Knowledge Hub supports all organizations operating within the Fuse-powered ecosystem. Each organization maintains:
- Its own domain paths (e.g.,
/en/home/refundo/,/en/home/sieben/) - Scoped templates and knowledge domains
- Mapped contributors, approvers, and AI assistants
- Organizational metadata and access controls
Access to confidential or internal content is restricted.
While some information is publicly available, most resources require authenticated access by approved participants implementing Fuse Knowledge as Infrastructure methodologies and enablers such as the eTag Fuse platform.
¶ 
Requesting Access
If you are part of eTag Technologies or associated with one of its partners and wish to become a participant organization:
- Contact your governance lead or partner representative
- Or submit a request including your full name, organization, and intended access role
Support Contact: [email protected]
Ownership, Review, Status, and System Instructions
Status: Draft — Pending Review
¶ Ownership
- Owner: Knowledge Governance Team (Global)
- Contributors: AI Enablement Ops, Metadata Engineering, Domain Stewards
- Reviewer: Director of Knowledge Enablement
- Approver: Chief Knowledge Officer
¶ Review
- Last Reviewed: 2025-05-11
- Next Review Due: 2026-05-11
¶ System Instructions
systemInstructions:
purpose: "Defines the global landing page for the Knowledge as Infrastructure series and Fuse knowledge governance model, accessible to all partner organizations and contributors."
llmGuidance: "Use this page to orient users to the global Knowledge Hub. Link them to structural standards, governance rules, AI participation policies, and onboarding resources."
trustLevel: High
knowledgeType: HubLandingPage
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