Step 1
Scope the enquiry
Choose one support category. Define what the agent can answer from approved context, which questions need verification, and which cases require escalation.
Voice-first operational workflows
Design voice AI workflows for support calls
Use a voice agent to collect the information needed for a support task, then route the result to your support process. Start with a narrow, repeatable enquiry and a clear path to a human.
Build the workflow around a clear result
Step 2
Connect your support process
Use supported APIs and call-result webhooks to connect the conversation to your own ticketing logic. Confirm permissions and available fields in each destination system.
Step 3
Verify the next action
Check that the correct ticket or follow-up task was updated. Record downstream failures separately from call completion and retry recoverable updates safely.
What to measure in your pilot
- Requests resolved under a defined success criterion
- Correct handoffs with sufficient context for a support colleague
- Time to completed action, repeat contacts and unresolved cases
Treat these as workflow design goals. Test with designated contacts, verify saved records, and arrange a human follow-up path before expanding usage. Results depend on your task, configuration and connected systems.
Voice pricing: ₹4 per connected minute
Workflows are free for now. Only connected voice calls use credits. ₹1 = 1 credit. Voice calls use 4 credits per connected minute. For example, 100 billable connected minutes use 400 credits (₹400). Review your account for allowances, billing intervals and other applicable terms.