# See what your history is telling you.

Canonical: https://www.aiventic.ai/solutions/operations-dashboard

> One dashboard for field service KPIs: first-call completes, walk rate, callbacks, revenue per call, usage, and technician specialties by brand, with insights on what to do next.

After the visit · Operations Dashboard

First-call completes, walk rates, callbacks, and revenue per call, by tech, brand, and asset. Plus insights that say what to do about them, built for owners and service managers.

[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  
### You find out from the invoice  
A tech who walks one job in five, or a model that keeps coming back, shows up weeks later in revenue, if anyone looks.
2. 02  
### Walks look like bad luck  
When a tech collects the service fee and leaves without selling the repair, it’s logged as a finished call. Nobody sees the pattern.
3. 03  
### Who’s good at what lives in your head  
You know which tech nails Sub-Zero and which one struggles with commercial refrigeration. Dispatch doesn’t, and neither does a new manager.

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

1. Step 01  
### Every job feeds the numbers  
Closed jobs, outcomes, callbacks, and revenue flow in from your FSM and from every Aiventic call, with nothing to export or rebuild.
2. Step 02  
### See it by tech, brand, and asset  
First-call completes, walk rate, callbacks, revenue per call, and usage, broken down by technician, brand, equipment, and time period.
3. Step 03  
### Act on the insight  
Operational insights flag what changed and suggest the next move: who to pair, which model needs a refresher, which jobs to route to a specialist.

## 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 Operations Dashboard 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.

* Owners  
Revenue per call, walk rate, and first-call completes across the business, without waiting on a monthly report.
* Service managers  
See which techs need help on which brands, and who to send to the hard calls.
* Dispatch leads  
Know each tech’s specialties by brand and equipment, so the right person gets the job.

## Questions. Straight answers.

What is walk rate?

The share of calls where the technician collects the service fee but doesn’t sell the repair. A high walk rate usually means a diagnosis or confidence problem, and it’s money left on the table.

What does the dashboard track?

Usage, first-call completes, walk rate, callbacks, revenue, operational insights, and each technician’s skill set and specialties by brand and asset type.

Who can see it?

Owners and service managers. Technicians don’t see the dashboard.

Where does the data come from?

Your FSM’s job history and outcomes, plus every call Aiventic helps with. There’s no separate data entry, and it updates as jobs close.

How do insights work?

Aiventic watches the numbers for changes and patterns, like a tech whose walk rate jumps on one brand, and suggests what to do next, such as pairing them with the tech who closes those jobs.

## Keep going. Related workflows.

* [After the visit Service Management See callback patterns, repeat failures, and which repair paths hold Learn more ](https://www.aiventic.ai/solutions/service-management)
* [By outcome Reduce Callbacks Stop paying twice for the same repair by fixing it right the first time Learn more ](https://www.aiventic.ai/solutions/reduce-callbacks)
* [By outcome Data-Backed Training Train technicians on the repairs your company actually does Learn more ](https://www.aiventic.ai/solutions/data-backed-training)

## 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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