Customers often found the issue first.
Customer escalations or unexpected drops in call volume triggered investigation. The lowest-volume international numbers created the greatest blind spots.
CloudCX customer success story
From reactive detection to
24×7 global voice assurance.
How a global digital agreements provider reduced detection time by 70–90% and established continuous monitoring across 10 countries and eight critical voice journeys.
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70–90%reduction in time-to-detection
24×7proactive monitoring of global voice journeys
10countries monitored, covering eight critical flows
100%automation of monitored call flows
The challenge
Global support numbers. Local blind spots.
Millions of customers depended on reliable access to support. Across international numbers, regions and carriers, low call volumes could hide outages for hours. Engineers then spent 15–30 minutes manually verifying an issue before triage could begin.
Manual checks delayed the response.
Engineers dialled multiple numbers and coordinated with carriers to establish the scope. Previous tooling required coding skills, produced false alerts and was difficult to scale.
The CloudCX approach
Continuous testing. Earlier detection.
CloudCX helped configure the monitored flows, numbers and regions, creating a scalable assurance model that repeatedly exercised international voice journeys without continuous manual effort.
Test
Exercise international support numbers at scale every 10–15 minutes.
Validate
Automate complex, multi-step IVR and bot journeys without manual dialling.
Alert
Surface routing or carrier failures proactively with more reliable alerts.
Diagnose
Use unified visibility to simplify investigation across regions.
Coverage even when call volumes were low.
Automated 24×7 monitoring covered 10 countries and eight critical flows. Repeated testing gave engineers visibility without waiting for a customer call or complaint.
More dependable signals for engineers.
The organisation reported fewer false alerts than with its previous tool. Simpler test creation reduced reliance on coding skills, while continuous schedules provided regression coverage.
Business impact
Less manual verification. Faster visibility.
Detection time reduced by approximately 70–90%, from 15–30 minutes of manual verification to detection within minutes.
24×7 monitoring established across 10 countries and eight critical voice flows.
Monitored call flows fully automated, removing the need for engineers to manually verify whether those lines were active.
Fewer false alerts and unified diagnostics improved confidence in the signals reaching engineering teams.
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