Use case · Customer service and contact-centre operations
Resolve routine calls end to end — and hand complex calls over with context.
VOICE.INS answers in the caller's language and dialect, retrieves governed information, completes approved requests and escalates when a person is needed.
The operating challenge
Peak demand creates queues while skilled agents spend time on repetitive enquiries. Traditional menus frustrate callers and lose context when a call is transferred.
How the product fits
Use a conversational voice agent for approved intents, grounded in the same knowledge base as RAG.INS, with explicit transfer rules and a full transcript.
How the workflow runs
- 1
Answer immediately and detect language, dialect and intent.
- 2
Retrieve the approved answer or complete the permitted workflow.
- 3
Confirm the outcome with the caller in natural speech.
- 4
Escalate exceptions with transcript, intent and completed steps.
Operational outcomes
- Shorter queues at peak
- Consistent answers across shifts
- Agents focused on calls that need judgment
Information and systems used
- Knowledge channels
- CRM customer context
- Approved call flows
- Escalation rules
Enterprise controls built in
The use case inherits the same deployment, permission and audit model as the product.
- Replies use the same governed knowledge and permissions as RAG.INS.
- Approved intents, authentication and escalation rules bound what the agent may do.
- The transcript and hand-off context remain available for audit and service review.
See this use case on your own process and data.
We will scope the workflow, sources, controls and success measure before proposing a pilot.
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