How can AI deflect telecom support calls and reduce contact centre volume?

AI agents handle the categories of telecom enquiry that generate the highest call volume, account balance and usage queries, billing explanations, service outage status, basic technical troubleshooting, and plan information, automatically, without any contact centre agent involvement. Most telecom providers find that 60 to 80 percent of inbound contacts fall into a small number of repeating categories that AI can handle with high accuracy once properly trained on the product and billing knowledge base.

The remaining 20 to 40 percent of calls, complex technical issues, contract disputes, churn-risk customers, are routed to appropriately skilled human agents with full context already captured.

For example, a regional mobile operator deploys Televanta across its customer service line. In the first 30 days, 64 percent of inbound calls are resolved by the AI without escalation.

The contact centre team handles 36 percent of calls instead of 100 percent, while still serving the same customer base. Average speed to answer for the calls that do reach a human agent drops from 8 minutes to under 90 seconds.

A broadband ISP deploys Televanta to handle all inbound calls on its customer service number. The AI resolves usage queries, outage status checks, password resets, and FAQ calls automatically.

Human agents are reserved for fault escalations, complaints, and retentions. The ISP reduces contact centre headcount requirements at the next renewal without making redundancies, instead achieving the reduction through natural attrition over 12 months while Televanta absorbs the volume.