February 20, 2025

6 min read

Engaging Candidates with Voice AI:

The Key to Better Hiring Experiences

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TLDR: Activating voice AI in recruitment is about more than just automating candidate outreach—it’s about making AI-driven interactions engaging, timely, and human-like. Episode 2 of the Voice-Enabled Recruitment Automation (VERA) podcast explores the activation phase, where AI makes its first contact with candidates, setting the tone for the entire hiring process. A well-executed activation can increase engagement, reduce candidate drop-offs, and improve hiring outcomes. This guide breaks down key activation strategies, including the importance of personalization, crafting effective AI-powered greetings, and applying the Five Ws framework to structure AI-driven hiring conversations. By implementing these best practices, companies can enhance the candidate experience, streamline recruitment efforts, and free up recruiters to focus on high-value tasks.

This article is a continuation of our series on voice-enabled recruitment automation (VERA), where we explore how AI is transforming hiring processes. Here, we will address how the activation phase—the first interaction between AI and candidates—shapes engagement, builds trust, and improves hiring outcomes. A well-executed activation ensures candidates feel valued from the start, increasing their likelihood of staying engaged throughout the process.

VERA allows companies to automate the first interaction with candidates, making outreach faster, personalized, and more effective. Instead of a generic email that gets ignored, candidates receive a tailored, voice-driven experience that makes them feel valued from the start.

But not all AI-powered recruitment experiences are created equal. If the interaction feels robotic, impersonal, or unclear, candidates will disengage. First impressions matter, and in recruitment, they can determine whether a candidate continues in the hiring process or moves on to a competitor.

In this article, we’ll explore:

  • Why the activation phase is critical in voice AI recruitment
  • How personalization shapes candidate engagement
  • The key elements of an effective AI-powered greeting
  • How to use the Five Ws framework to optimize AI-driven hiring

By the end, you’ll have a clear roadmap for leveraging voice AI to create a seamless, engaging hiring experience that attracts top talent and reduces drop-off rates.

Why the activation phase matters in AI-powered hiring

When candidates apply for a job, they expect a quick and engaging response. The activation phase in voice-enabled recruitment automation (VERA) is the first interaction between a company’s AI assistant and a candidate. This phase sets the tone for the entire hiring process, making it a key moment in recruitment.

A candidate’s first impression of an employer is often shaped by how quickly and thoughtfully the company responds. If the interaction feels generic or impersonal, candidates may lose interest. On the other hand, a well-executed activation phase can make them feel valued and excited about the opportunity.

First impressions can make or break candidate engagement

Think of two different companies—Company A and Company B—both looking to hire a software engineer.

The difference is clear. Company B makes John feel recognized and valued from the very first interaction. This personal touch makes him more likely to stay engaged with the hiring process and prioritize the company in his job search.

Why activation is important for both candidates and recruiters

A strong activation phase benefits both candidates and hiring teams:

  • For candidates: A well-designed AI assistant makes them feel like more than just another applicant. It provides clear next steps and creates a positive candidate experience right from the start.
  • For recruiters: AI-powered activation reduces manual work by automatically engaging candidates and gathering key information early in the process. This allows recruiters to focus on high-value tasks like interviewing and evaluating top talent.

Activation can also reduce candidate drop-offs. When candidates feel acknowledged early on, they are more likely to complete the hiring process instead of disappearing or moving on to another opportunity.

The broader business impact of strong activation

The activation phase doesn’t just benefit individual candidates—it also helps organizations achieve faster hires, lower costs, and better-quality talent.

  • Faster hires: Engaging candidates within 24 hours of application increases the likelihood of securing top talent before competitors do.
  • Lower costs: Reducing candidate drop-offs means fewer resources are wasted on sourcing and re-engaging lost applicants.
  • Better-quality hires: Candidates who feel engaged from the start are more likely to be a good fit and complete the hiring process successfully.

With activation setting the stage for everything that follows, it’s clear why getting the first candidate interaction right is essential in AI-powered recruitment.

The psychology of activation – Why personalization matters

When a candidate applies for a job, they’re not just looking for a paycheck—they’re looking for a place where they feel valued. The activation phase is more than just an introduction; it’s a chance to create a personal connection. And that’s where personalization makes all the difference.

If the first interaction with a company feels robotic, cold, or generic, a candidate might assume that’s what working there would be like. But if the experience is engaging and tailored to them, they’ll be more likely to continue the hiring process with enthusiasm.

Why personalized outreach makes candidates feel valued

At its core, personalization is about recognition. When a candidate applies for a role, they’re saying, “I see potential in your company, and I want to be part of it.” Acknowledging that effort with a thoughtful response sends the message: “We see potential in you, too.”

This plays into a well-known psychological principle: reciprocity. When people feel appreciated, they’re more likely to engage in return. A candidate who receives a personalized message that references their skills or background is much more likely to respond quickly, show up for interviews, and stay invested in the process.

What personalization looks like in voice AI recruitment

The second message feels like it was written for Maria specifically. It’s clear that the company has taken a moment to acknowledge her skills, which makes her more likely to feel excited about the opportunity.

Speed also matters

It’s not just what you say—it’s when you say it.

Candidates often apply to multiple jobs at once. If an AI assistant reaches out within 24 hours, it signals that the company is proactive and genuinely interested. On the flip side, a slow or delayed response can make a candidate assume their application wasn’t a priority, causing them to move on.

Using AI to create personalized interactions at scale

The beauty of voice AI is that it allows companies to personalize outreach at scale, without putting extra strain on recruiters. AI assistants can:

  • Use candidate data from resumes and applications to tailor messaging.
  • Adapt conversations based on hiring stages—whether it’s an initial greeting, a pre-screening, or interview scheduling.
  • Match the company’s tone and culture, making the conversation feel natural and aligned with employer branding.

Personalization isn’t just a nice touch—it’s a key factor in creating an engaging candidate experience. With voice AI, companies can make every interaction feel personal, even at scale.

Crafting effective AI-powered greetings

The way you say “Hello” matters—a lot.

In recruitment, the first few seconds of an interaction can determine whether a candidate feels welcomed and engaged or just like another name in a database. A strong opening builds trust and signals professionalism, while a weak one can create doubt or disinterest.

This is especially true with voice AI. If an AI assistant’s greeting feels cold, generic, or robotic, the candidate might check out mentally before the conversation even begins. But if the greeting is warm, clear, and engaging, it immediately sets a positive tone.

Let’s look at an example:

  • Weak greeting: "You have reached the recruitment department. Please state your query."
  • Better greeting:"Hi Sarah, thanks for applying to our project manager role at ABC Corp! We’re excited to connect and learn more about your background."

The second message feels human. It acknowledges the candidate, references the specific job, and expresses enthusiasm about their application.

Matching tone to company culture

Not every company sounds the same, and neither should their AI. The tone of the greeting should reflect the company’s culture and the type of role being filled.

  • A tech startup might be more casual and friendly:
    • "Hey Alex! We’re thrilled you’re interested in our software engineer role. Let’s chat!"
  • A financial firm might lean toward professionalism:
    • "Good afternoon, Alex. Thank you for applying to the financial analyst position at XYZ Bank. We look forward to reviewing your application."

If the company is hiring for a customer-facing role, the AI might even adopt a more empathetic tone, mirroring the soft skills needed for that position.

Making greetings inclusive and accessible

A great AI-powered greeting should work for all candidates, regardless of background or language preference. Some ways to make greetings more inclusive:

Offer multilingual options

If a company hires in multiple regions, the AI could greet candidates in their preferred language.

Use clear, simple language

Not everyone has the same level of English proficiency, so avoiding jargon or overly complex wording makes the message more welcoming.

Consider cultural nuances

Some greetings that sound enthusiastic in one culture may feel too informal in another.

Encouraging two-way engagement

A great greeting isn’t just about saying hello—it’s also an opportunity to invite the candidate to interact.

For example:

These messages create a sense of dialogue, making candidates feel like they are part of a conversation rather than just receiving automated responses.

Avoiding common mistakes

Even with AI, it’s easy to fall into the trap of making greetings feel stiff or impersonal. Here are a few things to avoid:

  • Overly generic language:
    • "Thank you for applying. Your application has been received." → This sounds robotic and doesn’t acknowledge the candidate personally.
  • Unclear purpose:
    • "This is an automated system. State your query." → This doesn’t explain why the AI is reaching out.
  • Tone mismatches:
    • A fun, casual AI greeting for a law firm might feel unprofessional. A very formal greeting for a laid-back startup could feel off-brand.

A little effort in crafting a warm, relevant, and engaging opening can make a big difference in how candidates perceive the company.

Applying the Five Ws to optimize activation

A great voice AI experience isn’t just about sounding good—it’s about making sure every interaction has a clear purpose. That’s where the Five Ws framework comes in. This simple method helps structure AI-powered recruitment conversations so they feel natural, informative, and engaging.

The Five Ws—What, Who, Where, Why, and When—help ensure that every candidate interaction is relevant and meaningful. Let’s break it down.

What: Defining the purpose of the interaction

Before an AI assistant reaches out, it should have a clear goal. What does the interaction need to accomplish?

For example, let’s say a company is hiring customer service representatives and has received 150 applications. The AI’s goal might be to:

  • Confirm basic qualifications (e.g., language proficiency, availability)
  • Introduce next steps in the hiring process
  • Keep candidates engaged so they don’t lose interest

A well-structured opening message might sound like this:

"Hi Sarah, we’re conducting a quick pre-screening interview for the customer service role. We’ll ask about your experience, skills, and availability. Let’s get started!"

This makes it clear why the AI is reaching out and what the candidate should expect.

Who: Understanding the candidate

A good AI assistant doesn’t treat every candidate the same. It should reference specific details from their application to make the conversation feel personalized.

For instance, instead of a generic greeting, the AI can pull data from a candidate’s resume or application:

"Hi Sarah, thanks for applying to the customer service role! We noticed your experience in live chat support, which is a great fit for this position."

This simple touch makes the interaction feel tailored and relevant, increasing the chances of a positive response.

Where: Identifying the stage in the hiring process

AI-powered hiring assistants should also be aware of where the candidate is in the recruitment journey.

  • If this is the first interaction, the AI might focus on introducing the company and gathering key information.
  • If the candidate has already completed a screening, the AI might help schedule an interview or provide next steps.

For example:

  • Pre-screening: "Before we move forward, can you tell us about your experience handling customer inquiries?"
  • Post-screening: "Great news! You’ve passed the initial assessment. Let’s schedule your interview—what time works best?"

This keeps the conversation relevant and prevents candidates from receiving repetitive or out-of-context messages.

Why: Explaining the value of the interaction

Candidates are more likely to engage if they understand why a conversation matters. The AI should clearly explain how this step benefits them.

For instance:

"At E-Shop Solutions, we value clear communication and customer satisfaction. This role is key to delivering great experiences to our customers, and we’d love to learn more about how you’d contribute to our team."

This small addition reinforces the company’s culture and gives the candidate a reason to stay engaged.

When: Timing the interaction for maximum impact

Even the best AI-powered conversation won’t be effective if it happens too late. Timing is everything in recruitment—especially when top candidates are getting multiple offers.

A few best practices for when to activate voice AI:

  • Within 24 hours of application: This keeps candidates engaged while they’re still interested.
  • During business hours: Candidates are more likely to respond when they’re available.
  • At the right hiring stage: AI should guide candidates forward at the right pace—no rushing, but no unnecessary delays either.

For example, if a candidate applies for a role in the morning, the AI might reach out the same afternoon:

"Hi Alex, thanks for your application! We’d love to ask a few quick questions to get to know you better. Let’s get started!"

This makes the hiring process feel efficient and responsive—exactly what today’s job seekers expect.

Bringing it all together

When used correctly, the Five Ws framework helps create a voice AI experience that is structured, relevant, and engaging. Here’s how it plays out in action:

By following this framework, companies can move beyond generic automation and create voice AI interactions that feel natural and genuinely helpful.

The activation phase is one of the most important steps in AI-powered recruitment. It sets the tone for the entire hiring process and determines whether candidates feel engaged or ignored.

By focusing on personalization, effective greetings, and structured conversations using the Five Ws, companies can turn voice AI into a powerful tool for attracting and engaging top talent.

As hiring speeds up and competition for candidates grows, companies that get this first step right will stand out from the rest.

If you're exploring voice AI in recruitment, now is the time to ensure that every candidate’s first interaction feels personal, engaging, and meaningful.

Want to learn more?

🚀 Let’s build the future of recruitment—one voice interaction at a time!

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