5 Ways HR Chatbots are Simplifying Hiring & Employee Engagement

3 minutes, 49 seconds read

Published on Jun 21, 2020

Updated on Jul 24, 2020

So far, there were three most talked about recruitment metrics — time-to-hire, cost-per-hire, and retention rate. Due to the Covid-19 outbreak, the HR industry is facing another challenge of managing and interacting with the remote workforce.

The impact of Covid-19 will be felt beyond 6 months. Organizations are, therefore, keen on revising their HR processes. Apart from hiring and retaining talents, productivity remains a crucial concern for most employers.

Over 70% of organizations are opting for virtual recruitment methods and technologies like Artificial Intelligence, Robotic Process Automation and Machine Learning are leading this change. HR Chatbots are a well-known implementation of AI technology in recruitment.

5 Important AI-powered HR Chatbots Use Cases

AI-powered HR bots can streamline and personalize recruitment and engagement processes across contract, full-time, and remote workforce.

1. Screening Candidates

Almost 50% of talent acquisition professionals consider screening candidates as their biggest challenge. Absence of standardized assessment process, lack of appropriate feedback metrics, overdependence on employment portals, and ignoring the pool of interested candidates are some of the factors that create bottlenecks in the recruitment process.

Finding the best fit for the organization is in itself a challenge. On top of that, the time lost in screening the ‘ideal candidate’ leads to losing the candidate altogether. Nearly 60% of recruiters say that they regularly lose candidates before even scheduling an interview.

AI can help in making the screening process more efficient. From collecting resumes to scanning candidates’ social & professional profiles, recent activities, and their interest in the industry/organization, AI can connect the dots and shortlist ‘best candidates’ from the talent pool. The journey begins with an HR bot that collects resumes and initiates basic conversations with the candidates.

HR operations chatbot – View Demo

2. Scheduling Interviews

The biggest challenge with scheduling interviews is finding a time that works for everyone.

According to a recent HR survey by Yello, it takes between 30 minutes and 2 hours to schedule a single interview. Nearly 33% of recruiters find scheduling interviews a barrier to improving time-to-hire.

The barriers to scheduling interviews involve time zones, prior appointments, location, and commute. AI-powered chatbots can piece it together for both — candidates and interviewers and propose an ideal time in seconds. Moreover, today’s HR bots can handle reimbursements, feedback, notifications, and post-interview sentiments of the candidates.

Appointment scheduling chatbot – View Demo

3. Applicants Tracking

Many organizations have been using Applicants Tracking Systems (ATS) — a software for handling recruitment and hiring needs. ATS provides a central location and database of resume boards (employment sites).

How ATS Applicants Tracking System Works — *(Image)*

HR chatbots with NLP capabilities can be integrated into ATS to facilitate intelligent guided semantic search capabilities.

4. Employee Engagement

Even after the orientation, employees (especially new joiners) face hurdles in keeping up with the organization’s procedures. Reaching out to HRs is the solution, but they’re also bound by time. In most of the situations, peer-support is a way through for activities like using time-sheets, leaves, holidays, reimbursements, etc.

Chatbots have always been great self-service portals. HR departments can leverage bots to answer FAQs on the company’s policies, employee training, benefits enrollment, self-assessment/reviews, votes, and company-wide polls.

HR bots with NLP capabilities can converse with employees, understand their sentiments, and offer resolutions. 89% of HR professionals believe that ongoing peer feedback and check-ins are key for successful outcomes. Especially in large enterprises, HR chatbots can engage with employees at scale. Moreover, chatbot conversations provide actual data for future analysis. This will also help the upper management with an unbiased understanding of the sentiments at the bottom of the pyramid.

5. Transparency across Teams

Recruiting data is often siloed and confined with the recruiters themselves. Leadership only has a high-level understanding of recruitment at ground levels. Often, this data is not available to other members of the HR department as well. Less than 25% of companies make recruiting data available to the entire HR team.

One of the reasons for lack of information transparency is the use of legacy systems like emails, spreadsheets, etc. for generating reports and sharing updates.

HR chatbots - how are recruitment metrics shared — *(Image)*

With AI-powered systems, controlled sharing of data, dynamic dashboards, real-time analytics, and task delegation with detailed information can be simplified. AI-chatbots, integrated within HRMs can make inter/intra departmental conversations and information requests simpler.

Final Thoughts

Today, recruiters prefer technology-based solutions to make their hiring process more efficient, increase productivity and candidate’s experiences. Tools like conversational chatbots are becoming increasingly popular because of the intuitive experiences they deliver. Chatbots can simplify HR operations to a greater extent and at the same time provide better employee engagement rates than humans.

Multilingual AI-powered HR Chatbot with Video – Hitee.chat

Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform.

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization: Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

5 Ways HR Chatbots are Simplifying Recruitment and Employee Engagement