# Turn a one-line complaint into a prepared job.

Canonical: https://www.aiventic.ai/solutions/dispatchers-and-csrs

> Aiventic helps CSRs and dispatchers ask the right questions on the call, stage the right part, and send the tech who has fixed this before.

By role · For Dispatchers & CSRs

While the customer is on the line, Aiventic pulls the unit’s history, finds similar repairs, and suggests the question to ask, the part to stage, and the tech to send.

[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  
### “It’s not cooling”  
That’s all the ticket says. You book the job without knowing what’s wrong, what to bring, or who should go.
2. 02  
### The question you didn’t ask  
One follow-up question on the call would have changed the diagnosis. Nobody knew to ask it.
3. 03  
### Routing by calendar  
You send whoever is free and nearby, not the tech who has fixed this model before.

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

1. Step 01  
### Listen to the call  
Aiventic picks out the model, the symptom, and what the customer has tried, as the call happens.
2. Step 02  
### Suggest the next question  
Based on similar repairs, it prompts the follow-up that narrows down the cause while the customer is still on the line.
3. Step 03  
### Prepare the dispatch  
Likely cause, parts to stage, and the best-matched tech, written to the job in your FSM.

## 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 Dispatchers & CSRs 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.

* CSRs  
Ask the follow-up that matters and book a job that’s already half solved.
* Dispatchers  
Route by experience on the model, not just zip code, and stage the part ahead of time.
* Technicians  
Get a ticket that actually says what’s probably wrong and what to bring.

## Questions. Straight answers.

Do CSRs need technical training to use it?

No. Aiventic suggests the question in plain words and explains why it matters. The CSR asks it the way they’d ask anything else.

How does it pick the right tech?

It looks at who has fixed this model and symptom before, and how those jobs turned out, then suggests a tech. The dispatcher makes the final call.

Does it work for web and email requests too?

Yes. Aiventic reads calls, web forms, emails, and FSM tickets, and prepares the job the same way.

## 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)
* [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)
* [By outcome Increase First-Call Completes Arrive with the right part and a likely diagnosis, and finish on visit one Learn more ](https://www.aiventic.ai/solutions/increase-first-call-completes)

## 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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