In the competitive automotive and real-estate markets, efficient and immediate customer service is essential. Our AI-powered Voice Agent is a solution to handle incoming calls 24/7. It ensures that potential leads are not lost and that every customer receives a prompt, professional response. In this article we will discuss the AI voice agent's capabilities, use cases variations, and other key features and considerations.

The solution is built on modern large language models (LLMs), and will have the flexibility to operate using different models to ensure optimal performance, adapting to our customers' needs. Our Engineers and Product designers are continuously working on our solutions specially in the ever evolving world of AI capabilities. 

What is an AI agent in Kaisa?

The Kaisa AI Agent handles inbound calls on behalf of sellers when they cannot — missed calls, out-of-hours
calls, or as a first-contact layer on every call. It identifies the listing, answers questions about it, qualifies the lead through a structured conversation, and delivers a summary and structured data back to the seller and any connected systems.

The interaction is scripted through a prompt that outlines the necessary information that the agent needs to pick up prior to an email or data being sent to the seller, but the AI Agent will also be able to capably answer questions on the spot regarding the listing or the vehicle the caller is enquiring about, or the dealer itself (thanks to Kaisa dynamic numbers, the AI can have access to detailed information about an ad). 

It is not a chatbot. It speaks, listens, and reasons in natural language across 24 languages.

Key Features

• 24/7 Call Answering: The agent can answer calls out of hours or set to answer all missed calls like a voicemail. 

• Guided Information Gathering: The agent is programmed to ask key qualifying questions, such as the caller's name, contact information, the specific item of interest, and the nature of their inquiry (rates / leasing period / monthly price etc).

• Real-Time Information Retrieval: The agent can access your seller's databases and systems to provide up-to-date information during the call (if provided with access).

  • Availability: “Is the 2024 VW Golf in blue currently in stock?” / “Is the apartment free to rent?”

  • (Seller Information): "What are your opening hours on Saturday?" or "Where is your service center located?"

• Natural Conversation Flow: The agent is designed to understand and respond in different languages, providing a professional and localised first point of contact.

• Instant Email Summaries: Immediately after a call, a detailed summary of the conversation (potentially a transcribed dialogue) and structured data (caller name, phone number, item of interest, etc.)—can be sent to a designated email address or forwarded to a specific API endpoint.

Language and Voice

• 24 languages natively supported; language-switching can be enabled mid conversation

• Multiple voices to choose from (male/female)

• Noise suppression, interruption handling, and silence detection included

Call Scenarios

Qualification Flow

We currently cover the following verticals, so the AI agent can easily adapt to the needs of your specific business and answer questions effectively. 

Automotive

1. Greet and offer to answer questions about the vehicle

2. If listing unknown: collect vehicle details

3. Ask qualification questions: purchase timeline · financing plan · trade-in (optional) · test drive interest
   (optional)

4. Collect: full name · phone number confirmation · email (optional) · preferred callback time (optional)

5. Sign off and store structured lead data

Real Estate

1. Greet and offer to answer questions about the property

2. If listing unknown: collect property details

3. Ask qualification questions: purchase/move timeline · financing / employment status · property to sell
   (optional)

4. Collect: full name · phone number confirmation · email (optional) · preferred callback time (optional)

5. Sign off and store structured lead data

Reporting and Data

Every conversation is stored in Kaisa Explore as an AI Conversation event, with:

• Duration — conversation length in seconds

• Outcome — Dropped / Engaged / Qualified (name + number confirmed, optionally email)

• Bilingual summary — spoken language and English

• Session transcript — time-ordered utterances and tool calls 

What it looks like in practice in Explore:

Workflows in the Engagement Builder

After an AI Agent interaction, you can set a Workflow in the Engagement Builder in Kaisa to send messages to callers or emails to your dealers or brokers to receive all the necessary details on this potential lead or engagement. 

You can set the "An AI Agent conversation ended" as the. trigger (along any other criteria) to generate a webhook, an email, an sms or more.

Data Security and Privacy

We adhere to high standards of data security and privacy, ensuring all customer and dealership data is handled in compliance with GDPR and inside EU.

• All processing and storage related to the AI Agent feature is EU-based
• No data is used to train models
• Retention periods are controlled via the existing Kaisa compliance service
• GDPR-aligned by default

Interested?

Get in touch with your Customer Success Manager in Kaisa or our Support team for any questions on our AI Agents, and we'll get you started as soon as possible.