AI for Telecommunications

Our AI guides customers through structured diagnostic workflows tailored to their specific service type (NBN FTTP, FTTN, HFC, Fixed Wireless, mobile, or enterprise). It walks them through modem resets, checks for known outages in their area, runs speed tests, identifies common fault patterns, and resolves the majority of issues without human intervention. For complex faults, it gathers diagnostic data and routes to the correct engineering team with full context, eliminating the frustrating "start from the beginning" experience.

Yes, we integrate with major telco billing platforms, CRM systems, and operational support systems (OSS/BSS) including Salesforce, Amdocs, CSG, Comverse, and custom in-house systems. The AI accesses real-time account data, billing records, usage history, and service configurations to provide accurate, personalised responses. Integration is API-based with secure authentication, ensuring data integrity and compliance with your existing security architecture.

Telecommunications providers using our AI typically see churn reductions of 25-35% within the first six months. The AI achieves this through three mechanisms: instant issue resolution that prevents frustration-driven churn, proactive identification of at-risk customers through predictive analytics, and personalised retention offers deployed at optimal moments (contract anniversary, after complaints, when usage patterns change). The combination of better service and proactive retention is significantly more effective than reactive save desks alone.

Agree the complaint, hardship and sales processes with the provider team before implementation. Staff must confirm applicable timeframes, notices and escalation responsibilities against current requirements. Test the configured workflow and keep evidence of review. The assistant does not guarantee telecommunications regulatory compliance.

The AI resolves the majority of billing enquiries instantly by explaining charges, identifying billing errors, applying credits where policy permits, and setting up payment arrangements. For financial hardship cases, it follows your hardship policy and the TCP Code requirements, connecting customers with your hardship team when appropriate. For complex disputes, it gathers all relevant information and creates a structured case for your disputes team, significantly reducing resolution time.

This is one of AI's greatest strengths in telco. When an outage occurs, the AI automatically notifies affected customers, provides estimated restoration times based on your network operations data, handles the resulting enquiry flood without degrading service levels, and sends all-clear confirmations when service is restored. During a major outage, AI can handle thousands of simultaneous enquiries that would otherwise overwhelm your contact centre and leave customers on hold for hours.

Customers can request a human agent at any point during an AI interaction, and the system will connect them promptly with full context transferred so they never have to repeat themselves. The AI also detects frustration, confusion, or complex situations and proactively offers human escalation. Our philosophy is that AI handles the routine so your human agents have time and energy for the conversations that genuinely need a personal touch.

The AI analyses the customer's actual usage data (data consumption, call patterns, international usage, peak times) against all available plans and recommends the optimal option for their needs and budget. It explains the comparison transparently, highlights potential savings or benefits, and can process plan changes on the spot. This reduces bill shock complaints, improves customer satisfaction, and actually increases ARPU as customers move to plans that genuinely fit their usage rather than staying on legacy plans.

Yes. Our AI supports tiered service levels and understands the complexity of business telecommunications including multi-site configurations, SLA requirements, managed services, and dedicated account structures. It provides priority routing for SLA-bound enquiries, understands enterprise-grade fault severity classifications, and can manage the specific needs of business customers including fleet management, usage reporting, and contract-level billing. Enterprise customers receive the instant, knowledgeable response they expect.

Our AI scales horizontally and can handle tens of thousands of simultaneous interactions without degradation in response quality or speed. Whether you serve 10,000 or 10 million subscribers, the system scales to match demand including peak periods, outage surges, and promotional campaign spikes. This elastic capacity means you never need to overstaff for peaks or accept poor service levels during high-volume periods.

AI improves NPS through three primary drivers: dramatically faster resolution times (seconds vs. minutes on hold), consistent high-quality service regardless of time or volume, and proactive communication that prevents issues from becoming complaints. Telco providers typically see NPS improvements of 15-25 points within six months. The AI also captures structured feedback after interactions, giving you actionable insights into what drives customer sentiment.

ROI varies by scale but is typically compelling: 40-60% reduction in cost-per-contact, 25-35% churn reduction (the highest-value metric for most telcos), 50%+ reduction in average handle time for AI-assisted interactions, and significant improvement in first-contact resolution rates. Most providers achieve positive ROI within 4-6 months. For a provider with 100,000 subscribers, the churn reduction alone typically delivers 5-10x the annual AI investment in retained revenue.

Full implementation typically takes 8-15 weeks across three phases. Phase 1 (contact centre analysis and system mapping) takes 3-4 weeks given the complexity of telco billing and provisioning systems. Phase 2 (support AI and billing integration covering your highest-volume enquiry types) takes 5-7 weeks. Phase 3 (churn prevention, proactive campaigns, and outage management) takes 5-8 weeks. We can accelerate timelines for urgent deployments and often deliver measurable value from Phase 2 onwards.