MagnaRix
Product

When the decision is questioned, the record answers.

A regulator opens an inquiry. A board asks why. A program fails and nobody can reconstruct the call that started it. MagnaRix gives your institution a structured record for every consequential decision: the reasoning, the approval chain, the AI contributions, and the assumptions, preserved in one place from the moment the decision is formed.

Decision Canvas
The Decision CanvasThe authoritative record of a decision: its structured fields, the governance metadata, and the approval workflow, kept in one place from the moment the decision is formed.
Core Capability

The Decision Canvas

The Decision Canvas is the core record in MagnaRix. Each canvas captures the question at hand, the context in which it arose, the options evaluated, the criteria applied, the evidence consulted, the assumptions accepted, the approval chain engaged, the AI contributions made, and the reasoning behind the conclusion. It is a complete record, not a summary or a title.

A Decision Canvas is built to be useful not only when the decision is made, but six months later when a team member asks why the platform was chosen, two years later when a regulator requests documented support, and five years later when a successor is considering whether to reverse a foundational call.

Decision Statement

A precise articulation of what is being decided

Context and Background

The conditions, pressures, and history that frame the decision

Options Evaluated

All meaningful alternatives considered, with their merits and drawbacks

Evaluation Criteria

The explicit basis on which options were compared

Evidence and Sources

Linked materials, analysis, and data that informed the reasoning

Assumptions Made

Conditions assumed true at the time, with confidence levels

Rationale

The substantive reasoning behind the final choice

Risks and Mitigations

Known risks associated with the decision and how they are addressed

Authority Path

Who held decision rights, who advised, and who ratified the outcome

Bearing

Who carried the decision under uncertainty, on what basis, and with what acknowledged risk

Assistance Participation

Where AI assistance contributed to the reasoning, attributed in the record

Dependencies and Lineage

What this decision depends on, what it influences, and what it supersedes

Review Triggers

The conditions that should prompt this decision to be revisited

Capabilities

Built for how decisions actually work in an institution

Structured Rationale Capture

Record not only what was decided, but the reasoning behind it: the options considered, the evidence examined, the trade-offs weighed, and the assumptions that supported the choice.

Alternatives and Trade-offs

Document rejected paths alongside the chosen one. When a regulator or board asks what else was considered, the full option space is in the record, not buried in forgotten attachments.

Assumption Logging

Decisions rest on conditions that may not persist. MagnaRix records those conditions explicitly, with confidence levels and triggers for re-evaluation when the ground shifts.

Evidence Linkage

Attach source materials, analysis, data, and supporting documentation directly to the decision record. The context that justified the conclusion stays with it.

Preserved Through Time

Decisions move through stages: proposed, under review, active, superseded, archived. Every transition is recorded with attribution; the full history can be reconstructed at any point.

Audit-Ready History

Reconstruct any decision at any point in its history. See what was known when, who contributed, what AI assistance participated, and how the decision evolved, all from a single record.

Reasoning Inside Governance

AI that works inside your approval process.

MagnaRix includes purpose-built reasoning aids that participate in the decision process under the same approval rules that govern people. Each AI contribution is attributed to the model, bounded by the authority structure of the decision, and preserved in the record. None operates outside the governance that holds the decision itself. Permissions, review, and accountability apply uniformly to people and AI alike.

When AI is unavailable, the platform's core capabilities continue to operate. The system does not depend on an outside vendor. The attribution model is described further in Advisory Intelligence.

Examining the decision

Expand thin or missing risks into structured form. Identify assumptions that are fragile, hidden, or in tension. Trace what the decision commits the institution to downstream.

Drawing on precedent

Bring forward prior decisions whose domain or direction is relevant to the question at hand. Score and compare alternatives against stated criteria and trade-offs.

Readying for authorization

Produce an assessment of where the decision stands before it goes to approval: what evidence is missing, what conditions would warrant escalation, what would invalidate the path being chosen.

Decision Workflow

Approval explicit at every stage of the decision.

MagnaRix structures the decision workflow from initiation through approval and into the final record. The right people are in the loop at each stage, with a complete trail of who reviewed, who approved, and when. The full governance detail is described in Governance & Approval.

Collaborative Authoring

Multiple contributors can shape a decision record at the same time, with authority-aware edit rights and version control that preserves the full contribution history.

Review and Approval Flows

Define multi-stage review processes aligned with your governance model. Decisions route to the right people at the right time, with a complete record of who reviewed and approved.

Notification and Escalation

Configurable notification logic routes time-sensitive decisions to the right people without waiting on manual follow-up. Escalation paths are defined in advance rather than improvised under pressure.

See the Decision Canvas in practice.