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Guided diagnostics

AI-guided diagnostics, from symptom to root cause

ExplainableTraceableAI Act compliant

Mimorian traces the cause. Several specialised agents cross-reference the machine mapping, the documentation and the history to propose targeted hypotheses, verifiable tests and reasoning visible at every step.

Mimorian's guided diagnostics is AI-assisted reasoning that leads the technician from symptom to root cause: several specialised agents cross-reference the machine mapping, the documentation and the history to propose targeted hypotheses and the tests that validate them.

Guided diagnostics session in Mimorian: the technician describes the symptom, the Guide panel structures the hypotheses, and the leading hypothesis is validated at 92 percent
In the Mimorian application: a guided diagnostics session. The technician describes the symptom, the Guide panel structures the reasoning and ranks the hypotheses.

The core problem: facing a complex failure, the reasoning rests on the technician alone

For standard, documented failures, the procedure is enough. For complex or unprecedented failures, the ones that weigh most heavily during downtime, the symptom to cause to remedy reasoning stays entirely on the technician.

The CMMS can display the history of previous interventions, but it offers neither ranked hypotheses nor the most discriminating tests. Without a method, the symptom gets treated rather than the cause: the fuse blows again three weeks later.

Guided diagnostics brings that method: structuring the reasoning, proposing targeted leads and tracing back to the root cause.

What Mimorian's guided diagnostics does

A multi-agent architecture that reasons on the real machine, proposes, and always leaves the decision to the technician.

A multi-agent architecture

Several specialised agents coordinate: one agent draws on the documentation, one agent analyses past interventions, one agent checks physical consistency. An orchestrator aggregates their outputs.

Targeted hypotheses based on context

Mimorian proposes ranked hypotheses and guides toward the tests that validate or rule out each one. The number depends on the failure, not on a fixed format.

Reasoning that traces back to the root cause

Mimorian does not stop at suggesting a part replacement. It helps distinguish the replaced component from the real cause, so you treat the underlying problem, not just the symptom.

The technician stays in control

He can rule out a lead by explaining why, and that feedback refines the reasoning. The AI proposes, the technician decides, at every step.

A voice interaction

The technician describes the situation in his own words, hands busy with the intervention, with no keyboard entry.

A structured report as output

The cause, the tests carried out and the return to normal are structured and sent back to the CMMS. The diagnosis enriches the history instead of shrinking to a single line.

Structured output of a completed diagnosis in Mimorian: high confidence, identified cause, applied remedy and residual risk
The completed diagnosis: confirmed root cause, applied remedy, residual risk and confidence level, usable by the whole team.

A recommendation you cannot verify has no value in maintenance. Mimorian shows its reasoning, cites its sources and leaves the decision to the technician: trustworthy AI, not autonomous AI.

How Mimorian runs a diagnosis

From a symptom described by voice to a captured report, in four steps.

01

The technician describes the symptom

By voice, in his own words. Mimorian opens a diagnostics session.

02

The agents cross-reference the sources

The machine mapping, the documentation and the intervention history are analysed in parallel.

03

Mimorian proposes and tests

Targeted hypotheses and the first discriminating test, to move methodically toward the cause.

04

The cause confirmed, the know-how stays

The structured report enriches the plant's memory and goes back to the CMMS.

General-purpose AI assistant or guided diagnostics: what is the difference?

A general-purpose assistant answers anything, knowing nothing about your machine. Guided diagnostics reasons on your real equipment.

General-purpose AI assistant
Mimorian diagnostics
Knowledge of the machine
None, generic answers
The functional mapping of your equipment
Source of the answers
The web, without your context
Your diagrams and your intervention history
Method
A single answer
Targeted hypotheses and the tests to run
Traceability
Hard to verify
Visible reasoning, cited sources, AI Act compliant

Who guided diagnostics serves

Junior technician

He resolves in minutes a failure that would have called for an expert, by following the reasoning laid out step by step.

Expert technician

He is no longer called for the recurring failure. His level is reserved for the real cases.

Production director

MTTR drops on complex failures, and reliance on a handful of experts decreases.

Fits into your existing stack

Guided diagnostics comes to the technician's workstation, alongside your tools, with no heavy integration. It sends a structured report back to the CMMS at the end of the intervention.

Mimorian and your CMMSMimorian and your MESMimorian and your IoT / SCADAMimorian and your ERP

Diagnostics, wired into mapping and knowledge capture

The diagnosis reasons on the machine's functional mapping, and each resolution feeds the maintenance know-how capture. A legible machine, guided diagnostics, know-how that accumulates: the same virtuous circle.

Frequently asked questions about guided diagnostics

How does guided diagnostics differ from a general-purpose AI assistant?

A general-purpose assistant answers from the web, without knowing your machine. Mimorian's guided diagnostics starts from the functional mapping of your equipment, your diagrams and your intervention history. It proposes targeted hypotheses and the tests that validate them, with traceable reasoning.

Does the technician keep the decision?

Yes. The AI proposes, the technician decides. He can rule out a lead by explaining why, and that feedback refines Mimorian's reasoning. Every suggestion is traceable and sourced, in line with the human oversight principle of the AI Act.

Do you have to type on a keyboard mid-intervention?

No. The technician describes the symptom by voice, in his own words, hands busy with the intervention. Mimorian runs the diagnosis from that description.

What becomes of the diagnosis once the failure is resolved?

The immediate cause, the tests carried out and the return to normal are structured into a report, sent back to the CMMS and captured in the plant's memory. Today's diagnosis speeds up tomorrow's.

Other Mimorian features

See guided diagnostics on one of your failures

Describe a failure that cost you dearly. We will show you how Mimorian diagnoses it, step by step, in 30 minutes.