# Your company has fixed this before. Now everyone knows how.

Canonical: https://www.aiventic.ai/solutions/similar-repair-intelligence

> Aiventic finds every past repair that matches the job in front of you, shows what fixed it and what didn’t, and puts that experience to work.

Before dispatch · Similar Repair Intelligence

Aiventic matches each new job to the repairs you’ve already closed on the same model and symptom, and shows which fixes held, which came back, and which parts it took.

[Book a demo ](https://www.aiventic.ai/schedule-a-demo)How it works

## Why it’s still hard. Your history has the answer. Nobody can reach it in time.

1. 01  
### The answer is buried in old tickets  
Somebody solved this exact problem last spring. The notes are in the FSM, under a different job number, and nobody can find them.
2. 02  
### Every tech starts from zero  
The newer tech gets the same unit the senior tech fixed three times, and works it out from scratch.
3. 03  
### Fixes that didn’t hold look like fixes that did  
A closed job doesn’t say whether the customer called back two weeks later. The wrong repair path keeps getting repeated.

## How it works. Three steps, on every job.

1. Step 01  
### Read the job  
Aiventic pulls the model, serial, symptom, and complaint from the ticket or the call, even when the notes are thin.
2. Step 02  
### Find the matches  
It groups past repairs on the same model and symptom, across techs, branches, and systems, and ranks them by how close they are.
3. Step 03  
### Show what held  
For each repair path: how often it worked, which parts it used, and whether it led to a callback. Evidence, not a guess.

## What it draws on. The platform layers behind this workflow.

Every answer comes from your own closed jobs first, then your manuals, bulletins, and parts data. The lit layers are the ones Similar Repair Intelligence uses.

1. [L4 Service Action What should happen next? Stage the part, route the right tech, and write it back to the FSM](https://www.aiventic.ai/platform/service-action)
2. [L3 Service Reasoning What does this situation likely mean? Likely causes, parts, and diagnostic paths, with the evidence behind them](https://www.aiventic.ai/platform/service-reasoning)
3. [L2 Service Knowledge What does the documentation say? Manuals, bulletins, SOPs, and parts catalogs, matched to the job](https://www.aiventic.ai/platform/service-knowledge)
4. [L1 Service Memory What happened? Every job, unit, part, and outcome you’ve recorded, ready to reuse](https://www.aiventic.ai/platform/service-memory)

## Who it helps. Everyone on the job works from the same experience.

* Dispatchers  
See what fixed it last time before you book the job, and stage the part that usually goes in.
* Technicians  
Walk in knowing the three fixes your shop has tried on this model and which one held.
* Service managers  
Spot the repair paths that keep coming back, and stop them before the next callback.

## Questions. Straight answers.

What counts as a similar repair?

A past job on the same model or model family with a matching symptom, complaint, or failed part. Aiventic shows why each match was chosen, so you can judge it yourself.

Our technician notes are messy. Does that matter?

That’s normal. Aiventic combines notes with parts used, equipment, outcomes, and callbacks, so no single field has to be clean for a match to be useful.

Does it pull from more than one system?

Yes. Most companies have history in an FSM, an old system, and spreadsheets. Aiventic reads across them so every repair counts, not just the ones in today’s tool.

## Keep going. Related workflows.

* [Before dispatch Pre-Triage Work out the likely fix, part, and tech before the truck leaves Learn more ](https://www.aiventic.ai/solutions/pre-triage)
* [After the visit Service History Every visit, part, and outcome on a unit, in one place across systems Learn more ](https://www.aiventic.ai/solutions/service-history)
* [On the job Diagnostic Guidance Ranked likely causes with the evidence, and the next check to make Learn more ](https://www.aiventic.ai/solutions/diagnostic-guidance)

## Stop solving the same repair for the first time.

Bring a few hundred closed jobs. We’ll show you what your company already knows.

[Book a demo ](https://www.aiventic.ai/schedule-a-demo)

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