MagnaRix
AI Governance

AI is shaping your biggest decisions. No one can yet say how, or who stands behind them.

AI is now part of real business decisions, and it moves faster than anyone set up to oversee it. MagnaRix puts that AI under the same approvals and accountability as your people, on the record and easy to trace, without slowing the work down.

The Trigger

The question no one can answer yet

A board, a regulator, or a risk committee asks a direct question: what AI reasoning did this decision rely on, who reviewed it, and who stood behind the result. The honest answer is that no one can reconstruct it. The model produced an output and shaped a direction, but it was never bounded by the authority that governs human contribution, never attributed in a durable record, and never tied to the person who carried the call. The decision is made; the accountability is missing.

This is happening across the business, usually outside the approvals and oversight that govern what your people do. AI weighs in on more decisions every quarter, and the share your institution can actually account for keeps shrinking. That is what turned a quiet, long-running discomfort into a problem with a deadline, and it is why AI governance has a budget this year when better record-keeping alone never did.

How MagnaRix Answers It

AI plays by the same rules as your people

MagnaRix treats what AI contributes as part of the decision record, not a black box beside it. Every AI contribution goes through the same approvals as a person's, is attributed to the model that produced it, and can be reviewed in place by anyone allowed to reopen the decision. How that works is covered in Advisory Intelligence and Governance & Approval.

The responsibility for a hard call under uncertainty stays with the person who makes it. AI can surface considerations, draft analysis, and bring back what was decided before, but it never becomes the one accountable. That line is held in Judgment-Bearing. And if AI is ever unavailable, MagnaRix keeps working; it does not depend on any outside model, so your oversight never lapses with it.

On The Record

What it looks like in MagnaRix

AI Participation
Every AI-influenced decision, in one viewHow much of the institution's reasoning AI took part in, on which decisions, with which agents, and at what fallback rate; AI as a participant under bounded human authority, not a black box beside the work.
Reasoning Trail
AI contributions, bounded by authorityEach AI-authored step is recorded in the decision's trail, attributed to the model that produced it, and weighed alongside human reasoning, always within a person's authority.
Authority
The same rules for people and for AIThe rights that govern every contribution: who may interpret, challenge, override, synthesize, and carry responsibility. AI is held to the same boundaries as your people.
From Decision To Execution

The record stays intact all the way to the work

Decision Record
The decision as a complete recordContext, options, rationale, owner, approval, and the authority behind it, kept as one durable record you can reopen and reconstruct long after the call was made.
Execution Composer
Handed off without losing the whyTurn the governed decision into an execution plan and hand it to Jira, Azure DevOps, or ServiceNow, with traceability back to the reasoning and the AI that informed it.

Put the AI in your decisions under the same rules as your people.