First-line support automation
Support teams spend 40 to 60 percent of their time answering the same questions. The answers exist, but the volume caps how much can be served without adding headcount.
An AI agent answers common queries from your approved knowledge base, handles the transaction when it can, and escalates to a human with full context when it cannot.
- 01
The agent is grounded in your approved knowledge base and policy docs. It never invents.
- 02
For each enquiry it identifies the intent, checks authorisation, and either answers, transacts, or escalates.
- 03
Handovers to human agents include the full conversation, the customer's account context and the attempted resolution.
- 04
A weekly review surfaces answers the agent got wrong so your knowledge base is continuously improved.
- 05
A hard escalation threshold ensures sensitive or complex cases are never handled autonomously.
for a support organisation handling 50,000+ contacts a month.
Ranges drawn from production deployments and public enterprise benchmarks. For a specific rupee or dollar figure tailored to your volume, use the calculator below.
Prerequisites for a clean deployment.
- An up-to-date knowledge base or policy library
- Six or more months of labelled support transcripts
- Clear escalation criteria agreed with the support lead
- Integration with the contact centre or ticketing platform
Put your own numbers on it.
“At 5,000 tickets a month and a loaded monthly cost of ₹1,50,000 per person, first-line support automation would typically save ₹23 L to ₹34 L a year.”
Range uses this use case’s typical automation rate (40 to 60 percent) against the baseline time per task for support work, with your cost per person converted at 160 working hours a month.
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