Network complexity
5G, fibre and legacy networks run side by side.
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Telecom
Telecom, Media and Communications
Intelligence for networks, content and every customer channel.
Every channel, perfectly packed.
Overview
Operators run some of the most complex networks and billing systems anywhere, under tight margins and strict regulation. Faults, fraud and churn hide in volumes of data no team can watch by hand.
Market forces
Spam and fraud
Unwanted calls and SIM fraud damage trust and draw penalties.
Flat revenue
Data use grows faster than revenue.
Churn
Customers switch for small price or service differences.
Content costs
Rights and production costs keep climbing.
QAO perspective
Solutions Intelligence, applied to telecom.
Level 1
Sense
Find where faults, revenue and customers are lost.
Level 2
Reason
Decide what automation fixes and what engineers handle.
Level 3
Compose
Design around the OSS, BSS and network tools in place.
Level 4
Prove
Prove on one region or service against agreed targets.
Level 5
Evolve
Expand across domains and tune as the network changes.
Problems Worth Solving
The problems telecom teams live with.
Market forces show we did the research. These show we understand your day.
“One fault triggers thousands of alarms and hides the real cause.”
Who feels it: Network operations head
See the use case →“Spam and fraud calls keep reaching our customers.”
Who feels it: Fraud management head
See the use case →“Revenue leaks between network usage and billing.”
Who feels it: Revenue assurance lead
See the use case →“Customers leave before we see the warning signs.”
Who feels it: Head of retention
See the use case →“New fibre customers wait for installation slots.”
Who feels it: Field operations manager
See the use case →“Agents can't see a customer's network experience.”
Who feels it: Customer care head
See the use case →Solutions
Where QAO can help.
AI and Autonomous Operations
Alarm correlation and fault diagnosis prepared for engineers.
Data and Decision Intelligence
Network, billing and customer data joined for churn and leakage.
Cloud and Platform Modernization
Cloud-native platforms for network and IT workloads.
Application and Experience Engineering
Self-service apps customers actually use.
Enterprise Integration and Automation
OSS, BSS and CRM connected end to end.
Cybersecurity and Digital Trust
Subscriber data and signalling protected.
Use cases
Telecom use cases.
Practical use cases for the telecom environment.
01
Alarm correlation
Related alarms grouped and the likely root cause highlighted.
Powered by QAO AlarmLens
Explore use case →02
Spam and fraud call detection
Suspicious calling patterns flagged in near real time.
Explore use case →03
Revenue assurance
Usage reconciled with billing to find leakage.
Explore use case →04
Churn early warning
At-risk customers identified with the likely reason.
Explore use case →05
Installation scheduling
Fibre installs scheduled around crew capacity.
Explore use case →06
Network-aware customer care
Agents see the customer's recent network experience.
Explore use case →07
Order fallout management
Stuck orders found and fixed before customers call.
Explore use case →08
Interconnect billing checks
Partner traffic reconciled against invoices.
Explore use case →From the Solutions Lab