---
title: "Solutions"
description: "How Firetone is configured for collections, outbound sales, customer service and automated reminders — the same platform pointed at different problems."
url: https://firetone.com.au/solutions
site: Firetone
provider: RemotIQ Pty Ltd
keywords: "contact centre solutions, collections software, outbound sales dialer, customer service platform, appointment reminders"
---

# Built for the floors where voice is the business.

The platform does not change between these. What changes is which modules are switched on, how the pacing and routing rules are set, and which parts of the AI engine are doing the most work.

## Choosing where to start

Most operations recognise themselves in more than one of these. The useful question is which problem costs you most right now.

Agents listening to ringtone: start with the outbound engine. Callers waiting and then reaching the wrong desk: inbound campaigns. The phone system itself: the office PBX.

## What these operations have in common

All four are constrained by contact. A collections book, a sales list and a reminder campaign fail the same way when you call people at times they do not answer.

All four produce conversations someone may later have to account for. And all four straddle inbound and outbound more than the org chart admits.

## What differs between them

The configuration, not the platform. These are the settings that typically distinguish one operation from another.

### Collections

Hard drop-rate ceiling, prompted mandated wording, per-account contact frequency rules, and compliance scoring weighted heavily in the QA rubric.

### Outbound sales

Predictive mode on volume segments and preview on high-value accounts, lead scoring driving routing, and CRM write-back doing most of the admin.

### Customer service

Skills and value-based routing, queue callback, a voice bot with a conservative handoff threshold, and per-campaign SLA reporting.

### Reminders and notifications

Broadcast mode with keypress capture, tight dialing windows, capped trunk allocation, and immediate opt-out propagation.

## Questions about fit

### What if our operation does not match any of these exactly?

Most do not. These four are the common shapes rather than an exhaustive list, and the configuration differences between them are settings rather than products — pacing rules, routing logic, which AI features carry the most weight in your rubric.

### Can one organisation run several of these at once?

Yes, and it is common. Campaigns are configured independently, each with its own pacing, routing, scripts, SLA and retention rules, while sharing trunks, suppression lists, identity and reporting.

### Does the AI need to be trained on our industry first?

The models work from your own call history, your own scripts and your own quality rubric rather than a per-industry configuration you have to wait for. Predictions improve as history accumulates, which is one reason the trial runs fourteen days of real traffic rather than a short demonstration.