Human-led, AI-enabled customer operations

Automate the routine. Keep people accountable for the outcome.

CallServ combines trained customer-operations teams with approved AI voice and workflow tools to expand availability, reduce repetitive work and create more consistent interactions. Complex, sensitive and exception-based situations can be routed to a human under the program design.

AI voice agents

Built to handle defined conversations - and hand off when the situation changes.

CallServ's configured AI voice agents can support approved inbound and outbound workflows using client-provided processes, policies and knowledge. They can answer routine questions, qualify callers, collect permitted information, complete structured steps and transfer to a CallServ or client representative when human support is required.

These are AI voice agents. CallServ people who handle the same kinds of conversation have their own page.

Hear Our Voices

A CallServ agent wearing a headset at her workstation.

Voice-agent use cases

Inbound use cases
Give routine callers an immediate path to an answer. Potential uses include frequently asked questions, status updates, basic intake, appointment activity, service routing and after-hours first response. Each workflow is tested against approved scenarios and escalation rules before launch.
Outbound use cases
Extend structured outreach without losing control of the message. Potential uses include reminders, confirmations, survey invitations, lead qualification, account follow-up and other consented workflows. Lists, scripts, calling windows, disclosures and opt-out handling must be approved for the campaign and jurisdiction.

Conversation demos

Hear how the experience responds in real time.

Two short recordings of the same service call. Each states its scenario, language, duration and status, and carries a full transcript. A demonstration does not represent every production configuration.

Inbound service call, English

Scenario: Caller reports a failed air-conditioning unit and books an engineer visit.
Language: English throughout.
Duration: 1 minute 1 second.
Status: Demonstration recording, not a live system.
Human escalation: None occurs in this call; it completes with the agent. Escalation triggers are configured per programme and are set out under Human escalation below.

Transcript, English demo

Sarah, AI agent: Thank you for calling CallServ, powered by Ad Nomina. This is Sarah on a recorded line. How can I help?

Caller: Hi, my AC is making a horrible grinding noise and it is barely blowing cold.

Sarah: Oh no, not in this heat. Let us get someone out to you. What is the address?

Caller: 412 Maple Drive, Austin. 78704.

Sarah: 412 Maple Drive. Got it. I have got…

Caller (interrupting, speaking over the agent): Tuesday. Tuesday is better. Kids are home Saturday.

Sarah: Tuesday at 10 then. Confirmation is on its way, and he will call before he arrives.

Caller: Great. Thank you.

Sarah: If you need to move it, we are here anytime, day or night, not just office hours.

Narrator: That was Sarah, an AI voice agent. She took the address, read it back, was interrupted, and booked the job into the calendar and CRM. Around the clock, in over 20 languages, with no queue and no hold music. CallServ, powered by Ad Nomina.

Inbound service call, caller switches to Spanish

Scenario: The same service call. The caller answers in Spanish and the agent continues in Spanish.
Language: Opens in English, then Spanish for the conversation. The closing narration is in English.
Duration: 1 minute 3 seconds.
Status: Demonstration recording, not a live system.
Human escalation: None occurs in this call; it completes with the agent.

Transcript, Spanish demo

Spoken as recorded. An English translation of the Spanish turns follows it.

Sarah, AI agent (English): Thank you for calling CallServ, powered by Ad Nomina. This is Sarah on a recorded line. How can I help?

Caller: Hola, mi aire acondicionado hace un ruido horrible y ya no enfría.

Sarah: Ay no, y con este calor. Con mucho gusto. Seguimos en español. ¿Cuál es la dirección?

Caller: 412 Maple Drive, Austin, 78704.

Sarah: 412 Maple Drive. Tengo el sábado de 8 a 9, o el mar…

Caller (coming in on the end of the agent word): El martes. El martes es mejor. El sábado están los niños.

Sarah: El martes a las 10. La confirmación va en camino y él le llama antes de llegar.

Caller: Excelente. Gracias.

Sarah: Si necesita cambiarlo, estamos aquí a cualquier hora, de día o de noche, no solo en horario de oficina.

Narrator (English): That was Sarah, an AI voice agent. The caller switched to Spanish, and she switched with him, then booked the job into the calendar and CRM. Around the clock, in over 20 languages, with no queue and no hold music. CallServ, powered by Ad Nomina.

English translation of the Spanish turns. A translation, not a transcript.

Caller: Hello, my air conditioning is making a horrible noise and it is not cooling any more.

Sarah: Oh no, and in this heat. With pleasure. We will carry on in Spanish. What is the address?

Sarah: 412 Maple Drive. I have Saturday from 8 to 9, or Tues…

Caller: Tuesday. Tuesday is better. The children are home Saturday.

Sarah: Tuesday at 10. The confirmation is on its way and he will call you before he arrives.

Sarah: If you need to change it, we are here at any hour, day or night, not just office hours.

Human escalation

The customer should never be trapped inside the automation.

Escalation can be triggered by customer request, workflow exception, risk condition, failed validation, negative sentiment or an unresolved intent. The hand-off design should pass approved context to the receiving team and preserve a clear audit trail.

Detect

Identify the request, exception or risk condition defined in the workflow.

Confirm

Tell the customer what will happen next and obtain any required permission.

Transfer

Route to the approved human queue with available context and authentication state.

Review

Capture the interaction for quality, failure analysis and controlled improvement.

AI governance

Every production use case needs an owner, an approved purpose and evidence.

CallServ evaluates AI-enabled workflows for customer impact, accuracy, data handling, security, bias, legal obligations, human oversight and ongoing monitoring before production use.

Controls

Authorization - approved provider, purpose, data and client instruction
Testing - representative scenarios, failure modes, language and escalation
Data controls - permitted inputs, retention, access, locations and provider terms
Human accountability - named owners for decisions, review and customer recovery
Monitoring - logs, quality samples, incidents, changes and improvement actions

Review security and technology

Technology partner

Powered by specialist technology. Managed through CallServ's operating model.

CallServ delivers and manages the customer-operation solution and supports the human side of the experience. The underlying AI voice technology is powered by Ad Nomina, subject to approved solution scope, contracts and data handling.

Start with one workflow, clear boundaries and a measurable success test.

Share the call reason, current volume, systems, customer language, escalation needs and desired outcome. CallServ will assess whether AI, a human team or a blended model is the most appropriate design.Design an AI-Enabled Workflow

Speak with a Solutions Lead