Home / Case Study / Telecom CX Reinvention – Human + AI for Next-Generation Customer Experience
Telecom CX Reinvention – Human + AI for Next-Generation Customer Experience
Research: Research methodology
Product: Al Evolution Matrix
Duration: 3 Months
Client Background
A Tier-1 telecom operator serving over 100 million subscribers across Asia and Africa was facing growing churn, declining NPS (Net Promoter Score), and rising support costs.
Despite heavy investment in CRM platforms and call centers, the operator struggled to meet customer expectations in an era of digital-first, always-connected consumers.
The Chief Customer Officer admitted:
“We were throwing money at more agents and new platforms, but we weren’t fixing the customer experience. Customers felt like they weren’t understood.”
AxisCube Research was engaged to help the operator redefine its CX strategy through AI, leveraging our AI Evolution Matrix and TriAxis Matrix frameworks.
The Challenge
The telecom operator’s CX pain points were clear:
- High Churn:
Customers switched providers due to poor service and lack of personalization. - Slow Resolution:
Average handling time in call centers exceeded 15 minutes. - Fragmented Journeys:
Customers interacted across app, call center, and social media, but data wasn’t connected. - Agent Overload:
Support staff faced burnout handling repetitive, low-value queries.
The result: churn rate of 28% annually, NPS declining for 3 consecutive years, and rising customer acquisition costs.
AxisCube Approach
AxisCube applied a two-pronged approach:
- Benchmark vendor maturity for AI-powered CX solutions.
- Redesign the CX roadmap with a human + AI collaboration model.
Step 1: AI Evolution Matrix Benchmarking
- CX Automation: Developing (basic IVR + limited chatbot deployment).
- Sentiment Analysis: Emerging (manual sampling, not AI-driven).
- Predictive Analytics: Non-existent (no churn prediction models).
- Omnichannel Orchestration: Fragmented, with no cross-channel visibility.
Step 2: Vendor Selection (TriAxis Matrix)
- Shortlisted vendors ranked Advancing in AI-driven CX (sentiment analytics, omnichannel orchestration, predictive churn).
- Eliminated vendors strong in scale but weak in innovation (high execution, low differentiation).
Step 3: CX Reinvention Roadmap
- Phase 1: Automate repetitive queries with NLP-driven chatbots.
- Phase 2: Deploy AI sentiment analysis across calls and social channels.
Phase 3: Predictive churn modeling + proactive customer outreach.
The Solution
The telecom operator’s CX pain points were clear:
- High Churn:
Customers switched providers due to poor service and lack of personalization. - Slow Resolution:
Average handling time in call centers exceeded 15 minutes. - Fragmented Journeys:
Customers interacted across app, call center, and social media, but data wasn’t connected. - Agent Overload:
Support staff faced burnout handling repetitive, low-value queries.
The result: churn rate of 28% annually, NPS declining for 3 consecutive years, and rising customer acquisition costs.
AxisCube Approach
AxisCube applied a two-pronged approach:
- Benchmark vendor maturity for AI-powered CX solutions.
- Redesign the CX roadmap with a human + AI collaboration model.
Step 1: AI Evolution Matrix Benchmarking
- CX Automation: Developing (basic IVR + limited chatbot deployment).
- Sentiment Analysis: Emerging (manual sampling, not AI-driven).
- Predictive Analytics: Non-existent (no churn prediction models).
- Omnichannel Orchestration: Fragmented, with no cross-channel visibility.
Step 2: Vendor Selection (TriAxis Matrix)
- Shortlisted vendors ranked Advancing in AI-driven CX (sentiment analytics, omnichannel orchestration, predictive churn).
- Eliminated vendors strong in scale but weak in innovation (high execution, low differentiation).
Step 3: CX Reinvention Roadmap
- Phase 1: Automate repetitive queries with NLP-driven chatbots.
- Phase 2: Deploy AI sentiment analysis across calls and social channels.
Phase 3: Predictive churn modeling + proactive customer outreach.
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