# Every visit to this unit, before you walk in the door.

Canonical: https://www.aiventic.ai/solutions/service-history

> Aiventic pulls every visit, part, and outcome on a unit into one history, across your FSM and older systems, so the next job starts with what happened before.

After the visit · Service History

Aiventic brings every visit, part, note, and outcome on a unit into one history, across systems, so the next tech knows what happened before and what was already tried.

[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  
### History split across systems  
Five years in the old system, two in the new FSM, and a binder in the office. Nobody looks at all three.
2. 02  
### Repeating what was already tried  
The tech replaces the thermostat that was replaced last month, because nothing told him it was.
3. 03  
### The record says nothing useful  
“Checked unit, ok.” A closed ticket rarely says what was found, what was done, or whether it held.

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

1. Step 01  
### Connect your systems  
Aiventic reads jobs, parts, notes, and invoices from your FSM and older systems. Nothing gets migrated or replaced.
2. Step 02  
### Build one service memory  
It ties every visit to the unit, the symptom, the parts used, and the outcome, including callbacks.
3. Step 03  
### Put it on the next job  
Techs, dispatchers, and your own agents get the unit’s history in context, through the app, the API, or MCP.

## 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 Service History 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.

* Technicians  
See what was done on this unit, by whom, and whether it held, before you open the panel.
* CSRs  
Answer “you were just here” calls with the full picture of the last visit.
* Service managers  
See problem units and repeat visits across every location and system.

## Questions. Straight answers.

Do we have to migrate off our current FSM?

No. Your FSM stays the system of record. Aiventic reads the history you already have, from current and legacy systems, and keeps it in sync.

How far back can it go?

As far as your records go. Older history is often the most useful, because it holds the repairs on equipment your newer techs have never seen.

Can other tools use the history?

Yes. The same service memory is available through Aiventic’s API and MCP, so your own agents and apps can ask what happened on a unit.

## Keep going. Related workflows.

* [Before dispatch 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)
* [After the visit 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)
* [After the visit Service Management See callback patterns, repeat failures, and which repair paths hold Learn more ](https://www.aiventic.ai/solutions/service-management)

## 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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