# Every repair you’ve closed, remembered for the next one.

Canonical: https://www.aiventic.ai/platform/service-memory

> Service Memory connects every job, unit, part, tech note, and outcome in your FSM, so the next call starts with everything your company already knows.

Layer 1 · Service Memory

Aiventic reads your FSM and your databases and ties each job to the unit, the symptom, the tech, the part, and whether the fix held. Your history stops being a record and starts being a resource.

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

1. [L4 Service Action What should happen next?](https://www.aiventic.ai/platform/service-action)
2. [L3 Service Reasoning What does this situation likely mean?](https://www.aiventic.ai/platform/service-reasoning)
3. [L2 Service Knowledge What does the documentation say?](https://www.aiventic.ai/platform/service-knowledge)
4. [L1 Service Memory What happened?](https://www.aiventic.ai/platform/service-memory)

## “What happened?” The question Service Memory answers.

What goes in

* Closed jobs and work orders from your FSM
* Equipment and serial history per unit
* Parts used on each job
* Technician notes and photos
* Customer and site history
* Callbacks and repeat visits

What comes out

* A full timeline for every unit
* Repairs grouped by model and symptom
* Which fixes held and which came back
* Each tech’s record on each model
* Clean history for reasoning and agents

## What it does. Inside Service Memory.

* 01  
### Connects to the systems you already run  
Reads jobs and history from ServiceTitan, ServiceTrade, Service Fusion, FieldPoint, and Rossware, or straight from SQL Server, PostgreSQL, and MySQL.
* 02  
### Ties every job to its outcome  
A job isn’t done when it’s invoiced. Aiventic links it to any callback on the same unit, so you know whether the fix actually held.
* 03  
### Reads the notes people actually write  
Shorthand, typos, and half sentences in tech notes become a model, a symptom, a part, and an action you can search.
* 04  
### Keeps growing on its own  
Every job you close flows back in. The next call on the same model starts with one more repair of experience.

## One job, one layer. The Hernandez oven call, through this layer.

What Service Memory knows when the Hernandez call comes in

Demo workspace

Unit

Wolf DF48650G range

Symptom

Oven clicks, won’t light

Unit history

3 prior visits on this unit

Last repair

Igniter replaced 21 days ago, didn’t hold

Similar jobs

47 similar repairs, same model and symptom

Tech record

Marcus R.: 12 Wolf repairs, 0 callbacks

## Where you’ll see it. Solutions built on Service Memory.

* [Service History Every visit, part, and outcome on a unit, in one place across systems Learn more ](https://www.aiventic.ai/solutions/service-history)
* [Similar Repair Intelligence See every time you’ve fixed this model and symptom, and what held Learn more ](https://www.aiventic.ai/solutions/similar-repair-intelligence)
* [Post-Visit Intelligence Service summaries written for you, and what each visit taught the shop Learn more ](https://www.aiventic.ai/solutions/post-visit-intelligence)
* [Service Managers See callbacks, repeat failures, and thin experience before they cost you Learn more ](https://www.aiventic.ai/solutions/management)

## Questions. Straight answers.

Do I have to clean up my FSM data first?

No. Aiventic is built for real service records: free-text notes, inconsistent model numbers, and missing fields. It works with the history you have.

Which systems can it read from?

FSMs like ServiceTitan, ServiceTrade, Service Fusion, FieldPoint, and Rossware, plus databases on SQL Server, PostgreSQL, and MySQL.

Does Service Memory replace my FSM?

No. Your FSM stays the system of record. Service Memory reads from it and makes that history reusable for the next job.

## 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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