Company E dealt with high downtime that impacted customer satisfaction. Faults were slow to identify, service recovery dragged out, and teams relied on excessive on-site visits to diagnose issues. Frontline staff also lacked guided decision support, so tickets bounced around before the right action was taken.

So, we deployed a GenAI-powered troubleshooting workflow that classifies faults, recommends next actions, and pulls the right context from sources such as CRM, customer data, operational data, system logs, and operational SOPs and manuals. As a result, unnecessary site visits reduced by 80%*, customer satisfaction improved, downtime reduced, and cost management became more disciplined because teams could resolve issues faster with clearer guidance.