Hiring Frontline Employees: A Snapshot

Frontline hiring is unlike any other recruitment process. It’s high-volume, fast-paced, and deeply human. From delivery executives to retail associates, these roles form nearly 80% of India’s workforce and getting the right people, at the right time, is mission-critical for businesses. Yet, the process is often slowed by manual screening, low candidate turn-up, and high drop-offs.

That’s where AI, especially Voice AI, comes in automating repetitive tasks while keeping the process conversational and personal. Let’s look at how each stage of frontline hiring can be optimised with the right technology.

Stages of Frontline Hiring

1. Sourcing

This is where it all starts finding the right people for the job. Recruiters pull in candidate data from everywhere old databases, job boards, WhatsApp groups, and referrals. But before even reaching out, they need to clean and organize this data to know who’s actually relevant. The real struggle? Finding enough interested and qualified candidates fast, without wasting hours switching between multiple platforms.

2. Screening

Once you’ve got the names, the next step is figuring out who’s actually a fit. Recruiters often spend hours checking basic details like location, experience, and availability mostly over calls or spreadsheets. It’s repetitive, and a big chunk of time goes into tasks that could easily be simplified.

3. Assessment

After that comes testing candidates for skills, attitude, or communication. But here’s the problem: most assessments are generic. They don’t capture real-world job readiness or context. A delivery executive and a telesales agent can’t be tested the same way, but that’s often how it happens.

4. Interview

Finally, the interview stage and this is where most processes slow down. Coordinating slots, managing no shows, and tracking feedback for hundreds or thousands of candidates manually is chaotic. It delays hiring and makes the whole experience frustrating for both recruiters and candidates.

How to Optimise Each Stage of Frontline Hiring with Voice AI

1. Multichannel Sourcing

Frontline hiring is a continuous, high-volume process which makes sourcing one of the most active and challenging stages of recruitment. Over time, relying solely on job boards starts yielding diminishing returns. To stay ahead, organisations need to diversify their sourcing strategy and make better use of existing candidate data.

Hunar helps companies optimise all sourcing channels online and offline and brings them together into a single, intelligent platform. This unified approach enables recruiters to reach more candidates, reuse past data effectively, and maintain a healthy talent pipeline at all times.

• Conversational Career Pages
  Turn your career page into a two-way conversation. Hunar’s AI chat interface engages visitors, captures candidate intent, and drives direct applications  without relying on third-party portals.

• Referral Agents
  Empower your workforce to refer to talent easily. Hunar’s referral automation system tracks, manages, and rewards referrals, turning your employees into active recruiters.

• Internal Job Board
  IJB culminates all the past candidate data and keeps it readily available for the future roles, with AI capabilities going through lakhs of data becomes seamless.

• Offline Channels
  Digitise and manage walk-ins or field recruitment drives efficiently. Hunar centralises offline leads and keeps them connected to your main hiring pipeline.

• Social Media
  Leverage your social presence for hiring. Hunar automates outreach and engagement across social media channels, expanding your sourcing reach effortlessly.

2. Screening Agents

Usually a lot of potential candidates are dropped in this funnel because of improper screening methods, manual interventions, biases etc. Resume parsing does not really work for frontline setup because of wide nuances and hyperlocal requirements.

Voice AI screening agents like Hunar’s automatically engage with candidates, ask qualification questions, and update real-time data into the system. Even though the first call is one of the most difficult AI calls because the candidate has no context, Hunar does this seamlessly not just talking and screening the candidate but also convincing and giving him confidence at the first stage of touchpoint.  Recruiters can focus on ready-to-hire profiles instead of endless first calls.

3. Assessment Agents 

Hunar’s AI-driven conversational assessments make evaluating frontline candidates more human, scalable, and intelligent. Instead of one-size-fits-all tests, our AI agents conduct dynamic conversations that adapt to every candidate’s response evaluating tone, intent, and communication skills in their preferred language. This ensures every assessment is fair, contextual, and deeply aligned with the job role.

With custom skill taxonomy and assessment criteria, recruiters can define the exact skill sets they want to measure. From role-specific communication and sales aptitude to customer empathy, Hunar’s AI automatically runs assessments across the candidate pool and generates a highly qualified, pre-assessed pipeline.

4. Scheduling Agents 

Once candidates qualify, Hunar’s AI scheduling agents take over the coordination chaos. From aligning interview slots and sending reminders to confirming attendance, every interaction is handled automatically saving recruiters hours of manual follow-up while ensuring no candidate slips through the cracks.

Our intelligent AI HRs also handle last-minute reschedules and send smart reminders to maximise walk-ins. By taking over repetitive coordination tasks, they free up HR teams to focus on what really matters, hiring quality talent faster and more efficiently.

5. Interview Management 

The final stage of the hiring process is where experience and efficiency meet. Hunar’s interview management ecosystem ensures every candidate touchpoint  from pre-interview reminders to post-interview feedback runs seamlessly. Interviewers get live dashboards with all the context they need  candidate profiles, assessment summaries, and scores  helping them make better and faster decisions. Post-interview, feedback collection is instant and structured. Interviewers can record parameter-based evaluations using standardised templates, ensuring every decision is consistent, measurable, and easy to compare.

How to Choose the Best AI Solution for Your Hiring Needs

Not all AI hiring tools are created equal. When choosing one for frontline hiring, look for:

• Voice-first design: Conversational AI that speaks your candidates’ language.

• Multilingual capabilities: India’s workforce communicates in multiple languages.

• Automation depth: From sourcing to onboarding not just one stage.

• Integration flexibility: Should work seamlessly with your existing HR systems.

• Human-like experience: Because empathy matters, even when AI does the talking.

• Ready to use Voice AI agents: To instantly start outreach campaigns without many integrations. 

The right platform will basically depend on the size, industry and use cases. For example: A fast growing company needs a ready to use tool, whereas an enterprise may prefer a fully integrated tool with whatsapp as an additional communication layer, dashboard for candidate management, etc.

Want to deep dive into AI implementation for your HR team? Check out our complete guide to help understand the best AI solutions for your business.

Conclusion

Frontline hiring doesn’t need more hands, it needs smarter systems. With Voice AI, companies can scale their recruitment, personalise candidate interactions, and bring predictability to outcomes. 

From sourcing to interviews, Hunar.ai is building the future of frontline hiring one intelligent conversation at a time.