How XRay Built an AI Voice Agent that Conducts Preliminary Job Interviews

AI voice agents are changing the way businesses connect with customers. 

Imagine having an AI that speaks naturally like a human and can handle your customer service, book appointments, or even pre-screen job candidates—all based on a simple prompt and database connection. 

At XRay, we recently built an AI voice agent using Synthflow that demonstrates the exciting potential of this technology. Today, we're sharing how it works and why it might be the AI solution your business has been looking for.

What are AI voice agents?

AI voice agents are sophisticated AI applications that can conduct natural-sounding phone conversations with real people. Unlike traditional chatbots or IVR systems, these agents can understand context, respond effectively to unexpected questions, and maintain conversational flow that feels remarkably human.

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When you build an AI voice agent with a tool like Synthflow, you can give your agent a scripted introduction to follow word-for-word, as well as a general prompt that it can follow as it improvises and adapts to each unique conversation. 

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For our demonstration, we created an AI assistant for LowCodeEngineers (LCE), XRay's service that matches entrepreneurs and businesses with low-code experts for one-on-one support on an hourly basis.

Live demo: an AI job interviewer in action

We programmed our AI assistant to conduct initial phone screenings for potential low-code consultants. This serves a crucial function: evaluating candidates' English language proficiency and their ability to articulate their experience, since most of our customers are based in the US and Canada.

You can [LINK] see the full call demo on our YouTube channel, but here are the key takeaways.  

During the demo call, the AI assistant:

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• Introduced itself and explained the purpose of the call, following the scripted introduction perfectly

• Asked thoughtful questions based on the candidate's resume, including how their philosophy background influenced their approach to no-code development

• Generated relevant follow-up questions on the fly, such as asking for a specific example of when their philosophical perspective led to a successful project

• Listened to and acknowledged responses appropriately

• Ended the call professionally, offering to pass along questions about salary and start dates to the hiring manager

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Throughout the call, the AI agent sounded lifelike and expressive, and was very easy to understand over the phone. 

What's particularly impressive is how the AI formulated contextually relevant follow-up questions without being explicitly programmed to do so. When the candidate mentioned they ask "why" a lot in their philosophy-informed approach, the AI naturally requested an example of when this led to success.

Behind the scenes: How we built our AI voice agent

The implementation for our AI voice agent is actually quite straightforward, and requires only two apps: Synthflow and Airtable. 

Here’s how it works. 

Synthflow

We used this platform to create the AI voice assistant, which required only a scripted greeting and a detailed prompt explaining desired behavior.

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Within the prompt, we included a few variables – you can see them enclosed in curly brackets in the screenshot below. 

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Whenever the agent makes a call, the variables are populated by a simple Synthflow workflow (below), which is retrieving the data from Airtable. 

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Airtable

We set up a simple Airtable base with a form where candidates can submit their application and upload their resume.

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When users fill out the form, they can either schedule a callback at a later date and time, or leave it blank to get an instant call.

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All of their provided information (e.g. name, resume, etc.) is sent to Synthflow so the voice agent can conduct a personalized interview. 

Integration

When a candidate submits the form, an Airtable automation sends the necessary data to Synthflow and triggers the call. 

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After the call, the transcript and recording are automatically uploaded back to Airtable.

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The entire system requires only a few brief custom scripts to connect the apps. The result: a lightweight but powerful solution that transforms unstructured phone conversations into structured data in a database.

Why AI voice agents are game-changers for your business

Implementing AI voice agents like this offers numerous benefits:

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• Time Savings: Automate repetitive phone conversations while your team focuses on higher-value work

• Consistency: Ensure every caller receives the same high-quality experience

• Scalability: Handle multiple conversations simultaneously without hiring additional staff

• Data Capture: Automatically document and organize information from every call

• After-Hours Coverage: Provide service outside normal business hours

• Reduced Errors: Eliminate human fatigue and distraction factors

Let XRay.Tech build your custom AI voice solution

XRay specializes in creating custom solutions with Synthflow, Airtable, Zapier, and dozens of other low-code platforms. We've helped businesses of all sizes build powerful tools that save thousands of hours, reduce errors, and transform their operations with AI.

Our team can help you:

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• Identify the perfect use case for AI voice agents in your business

• Design, build, and implement a custom solution

• Integrate it with your existing systems and databases

• Automate your AI voice agent

• Train your team to manage and monitor the solution

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[LINK here] Book a free 15-minute call with a solutions engineer today to get started. We'll discuss your specific challenges and determine your best options for automating and optimizing your company's workflows with AI.

AI voice agents are transforming how businesses operate, offering personalized interaction without consuming your team's limited time. With tools like Airtable and Synthflow, anyone can add these powerful AI agents to their company's toolkit. Contact us today to learn how we can help you implement this game-changing technology.

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