626
Jibba
Dialler
AI Automation, Infrastructure Management, Customer Service
The challenge
What stood
in the way.
Jibba Dialler supports large enterprises across the UK and UAE with high volume contact centre services. Their legacy infrastructure limited scalability and slowed customer support responses.
Limited capacity for client specific development requirements
Manual ticket triage and assignment delayed issue resolution
Scaling infrastructure while maintaining uptime proved costly and complex
The solution
How we
delivered.
We enhanced their systems with AI driven call handling, automated workflows and real time monitoring dashboards.
01 / 05 features
Key features
Feature 01
01
AI transcription and LLM based summarisation for rapid understanding of customer intent
Delivery process
From discovery to go-live.
Step 1 of 5
Phase 01 of 05
01
Mapped ticket and call processes to identify automation opportunities
Up next · Implemented AI transcription APIs and ML driven
The results
What changed
after go-live.
The transformation reduced manual intervention and introduced predictive analytics for continuous performance improvement.
Achievement 01
19% Reduction in Service Requests
Automated workflows resolved repetitive tickets without manual review, reducing inbound volume.
Achievement 02
100% Seamless IT Support
Dedicated infrastructure and support monitoring maintained zero downtime and consistent responsiveness.
Achievement 03
100% AI Integration
Full AI powered call analysis, overflow handling and knowledge base support accelerated service delivery.
Keep exploring
More case studies.
626
Your turn
Planning
a rollout?
Talk to the Alveus team about your next contact centre project.