Energy, Utilities & Telecom
Energy, utilities, and telecom operators run on a difficult mix of customer service, billing, collections, field operations, compliance, and legacy systems. The bottleneck is rarely one isolated tool. It sits in the handovers between channels, tickets, CRMs, ERPs, knowledge bases, and operational teams. Laava helps these organisations turn that complexity into controllable AI workflows. We build agents and AI platforms for service, support, triage, and revenue operations without losing grip on governance, escalation, or business logic.
Where this usually breaks down
Knowledge is scattered across inboxes, folders, and people
Where this usually breaks down
Document-heavy work still burns too much manual time
Where this usually breaks down
Handovers and approvals slow down execution and follow-up
Where this usually breaks down
Existing systems are present, but they do not work together intelligently
Operational context
Where this stands today
3
published case studies in this industry
3
featured examples on this page
1
concrete process needed to start well
0
need for loose AI hype or experiments
Featured case studies
Projects that show how this lands in practice.
AI Platform for Energy Operations
A modular AI platform for the energy sector that combines a voice agent, chat agent, L2 ticket agent, debit agent, and sales agent on one shared orchestration and knowledge layer. Built so the operating model can be reused across other sectors with similar service and backoffice complexity.
Multi-Brand AI Customer Operations Platform
The customer-facing implementation of a shared AI platform for a multi-brand energy operation. One platform supports voice, chat, L2 ticket handling, debt-related flows, and sales conversations across 20+ brands without duplicating logic, knowledge, or governance.
Telecom Support Triage & Tier-1 Resolution
AI support flow for a telecom operation that classifies incoming tickets, resolves repeatable Tier-1 issues, and hands complex cases to the right human queue with usable context.