An enterprise platform built around the discipline of decision governance.
MagnaRix is architected as a layered enterprise platform — with memory, governance, AI cognition, traceability, and integration as distinct, coherent layers that together support decision intelligence at organizational scale.
Five coherent layers. One decision intelligence platform.
Each layer of MagnaRix addresses a distinct dimension of the enterprise decision challenge — and together they form an integrated platform that can be deployed, governed, and evolved as organizational requirements mature.
Memory Layer
The foundation of MagnaRix is a structured, durable, and queryable decision record. This layer preserves the full content of every decision canvas — including its history, versions, contributors, and lifecycle state — and makes it accessible across the organization in controlled, governed ways.
Key Capabilities
- ►Versioned decision records with full history
- ►Searchable by context, topic, domain, contributor, and date
- ►Linked decision graphs showing dependencies and influences
- ►Longitudinal view of how decisions evolved over time
Authority and Governance Layer
MagnaRix models the governance structures of the organization within the platform. This includes decision rights, approval authorities, escalation paths, and the organizational hierarchy that determines who can make, review, approve, and access decisions.
Key Capabilities
- ►Role-based decision rights and access controls
- ►Multi-tier approval and review workflows
- ►Delegation and escalation management
- ►Organizational hierarchy modeling
Cognition and AI Layer
The AI capabilities of MagnaRix are embedded in the decision process, not appended to it. This layer provides intelligent assistance for decision authoring, assumption challenging, option analysis, rationale structuring, and contextual retrieval from the decision record.
Key Capabilities
- ►Context-aware retrieval from the decision record
- ►Assumption identification and challenge
- ►Structured reasoning support and trade-off analysis
- ►AI contribution attribution and auditability
Traceability and Audit Layer
Every interaction with MagnaRix generates a traceable record. This layer provides the complete audit infrastructure needed for regulatory compliance, internal governance, and organizational accountability — by design, not by retrofit.
Key Capabilities
- ►Immutable audit logs for all decision interactions
- ►Full reconstruction of decision state at any point in time
- ►Contribution attribution and reviewer records
- ►Compliance-oriented export and reporting
Integration Layer
MagnaRix is designed to operate alongside the enterprise systems that organizations already use. The integration layer connects the decision record to external platforms, enabling MagnaRix to function as the decision intelligence layer in a broader enterprise architecture.
Key Capabilities
- ►API-first architecture for enterprise integration
- ►Connectors for enterprise content and collaboration platforms
- ►Webhook and event-driven integration support
- ►Identity provider integration for SSO and directory sync
Built to operate in demanding enterprise environments.
MagnaRix is designed from the ground up for organizations that take data governance, operational security, and platform reliability seriously. Enterprise readiness is a design orientation, not a feature checklist.
We engage with enterprise security and architecture teams as part of the deployment process, and the platform is structured to support the due diligence that serious enterprise organizations require.
Access Control
Role-based permissions, attribute-based access, and fine-grained data visibility controls.
Identity Integration
SSO support and enterprise directory integration for user lifecycle management.
Data Residency
Deployment configurations that support organizational data governance requirements.
Audit Infrastructure
Immutable, exportable audit trails for compliance and internal governance.
API Security
Authenticated, rate-limited, and monitored API access with comprehensive logging.
Responsible AI
AI contributions are attributed, traceable, and subject to human review at every step.
AI that supports human judgment. Not AI that bypasses it.
The design posture of MagnaRix is that AI should make human decision-making better informed, more rigorous, and more transparent — not obscure how conclusions were reached or substitute for the authority that human decision-makers hold.
Every AI output in MagnaRix is marked as such, attributed, versioned, and subject to human review before it enters the authoritative decision record. Human oversight is a structural requirement, not an optional setting.
Discuss the architecture with our team.
We welcome conversations with enterprise architects, CIOs, and technical evaluators who want to understand the platform design in depth.