Call center ai · Production

How Niagara Region Transit Turned 100% Missed Calls Into 24/7 Coverage with Synthflow Voice AI

The problem

Niagara Region Transit's outdated online forms frustrated residents, produced poor data, and slowed service workflows, while after-hours calls went entirely unanswered.

Workflow diagram · grounded in source
1
Resident initiates call
trigger
“residents now simply call anytime”
2
AI captures request conversationally
ai_action
“the AI agent captures their request conversationally”
3
Auto-fill and submit service form
output
“auto-filling and submitting service forms”
4
Data workflow integration
integration
“rebuilt data workflows for seamless integration with the service request platform”
Reported outcome

Synthflow Voice AI agents achieved 100% automated data collection 24/7, eliminated missed calls after hours, and cut data submission time by 80% — from 8–10 minutes to 2 minutes — with the model now expanding to more municipalities.

Reported metrics
Automated data collection rate100%
Missed calls after hours0%
Data submission speed improvement+80%
Resident request completion time (after)2 minutes
Show all 6 reported metrics
automated data collection rate100%
missed calls after hours0%
data submission speed improvement+80%
resident request completion time (after)2 minutes
resident request completion time (before)8–10 minutes
new voice agents deployed3
Reported stack
Synthflowservice request platform
Source
https://synthflow.ai/success-stories/data-collection
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Synthflow Voice AI agents achieved 100% automated data collection 24/7, eliminated missed calls after hours, and cut data submission time by 80% — from 8–10 minutes to 2 minutes — with the model now expanding to more…

What tools did this team use?

Synthflow, service request platform.

What results were reported?

Automated data collection rate: 100%; Missed calls after hours: 0%; Data submission speed improvement: +80%; Resident request completion time (after): 2 minutes (source-reported, not independently verified).

How is this call center ai AI workflow structured?

Resident initiates call → AI captures request conversationally → Auto-fill and submit service form → Data workflow integration.