Cutting claims intake time from 40 minutes to 6
First-notice-of-loss was captured from calls, emails and web forms into structured claims automatically.
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Personalising plan recommendations at 400,000 subscriber scale
Usage-based plan recommendations reduced bill shock complaints and increased voluntary upgrades.
Cutting field engineer wasted visits by 44%
Better diagnosis before dispatch and smarter scheduling reduced no-fault-found visits across a field engineering team.
Predicting network faults before customers report them
Telemetry analysis identified degrading network segments early, allowing proactive maintenance and customer notification.
Automating tier-1 telecom support across voice and chat
Routine billing, plan and connectivity queries were resolved without agents, cutting queue times at peak.
Reducing churn by 23% with early-warning propensity scoring
Behavioural signals identified at-risk subscribers weeks before cancellation, enabling targeted retention offers.
Onboarding new client environments in days, not weeks
Documentation, asset discovery and runbook creation were automated, shortening the path from contract to full service.
Cutting security alert triage volume by 78%
Automated alert enrichment and correlation let a small security team focus on genuine threats rather than noise.
Proactive client reporting that replaced manual monthly packs
Monthly service reports were generated from live data, improving client transparency and freeing account managers.
Building a knowledge base from resolved tickets automatically
Resolved tickets were converted into publishable knowledge articles, ending the perpetual documentation backlog.