Hiring AI

Learn how AI is reshaping hiring and onboarding in blue-collar sectors such as landscaping and construction. This article explores AI's impact on automating paperwork, improving communication, and customizing onboarding experiences. Discover essential AI technologies, their benefits and challenges, and how to balance automation with a personal touch for the best outcomes.

Hire Faster & Retain Employees Longer

To win the war on talent, you need a lightning-fast hiring process and a fail-proof system for consistent communication with candidates and employees alike. Team Engine helps you attract more applicants, hire them quicker and—crucially—keep them engaged throughout their tenure.

find and hire great people

Find and hire great people

Automate the redundant tasks in your hiring process so you can add value where it matters most.

motivate and retain quality employees

Motivate and retain quality employees

Get new hires off to a good start with structured one-on-ones and the opportunity to give feedback on the experience.

execute and continuously improve

Execute and continuously improve

Build connectedness across your company to get work done, create efficient processes, and nurture a culture of growth and development.

Capture More Business & Avoid Costly Turnover

Turnover is expensive, decreases productivity, and even leads to loss of business due to capacity. Curb those turnover costs and improve employee retention with Team Engine.

centralized recruiting hub

Centralized Recruiting Hub

accelerate time-to-hire

Accelerate Time-to-Hire

more engaged staff

More Engaged Staff

improve employee communication

Improve Employee Communication

Inefficient Processes & Poor Communication are Degrading Your Employee Experience

Everyday we talk to companies who are wasting thousands of dollars on job boards, when they could be sourcing more broadly to find the right people; hiring more quickly to beat their competition; and onboarding new hires more effectively. With Team Engine, you can deliver a more engaging experience—beginning to end—for your most valuable company asset.

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33% of employees point to a lack of up-front communication as having the most negative impact on employee morale.

Give your workforce a direct line of communication with leadership that makes it comfortable and easy for them to ask questions. Keep your staff informed (without burdening managers) using Team Engine’s text & email automations.

1 in 3 people check their text notifications within 1 minute.

It’s a lose-lose situation when you work hard to keep your employees involved and informed, but they never see or respond to the messages. Team Engine makes it easy to reach the right people at the right time on the right channel to make sure no one ever misses an announcement again.

96% of job applicants opt in to text message communication.

Team Engine has texting built-in throughout your interactions with applicants, employees, or referrals. You don’t have to use your own cell phone and everyone on the leadership team can see the communication in one place.

Employee turnover costs between $4,00 - $6,000 per employee.

Most attrition occurs within the first 30-90 days, so it’s critical to get employees off to a good start. Team Engine’s built-in automations make personalizing every employee’s onboarding experience a breeze.

texting vs. calling - modern recruiters use texting

Built to Manage an On-The-Go Workforce

Whether you have an HR Department Of One handling all the functions of employees’ tenure, or you’re managing HR teams across multiple locations, or you fall somewhere between—Team Engine was built to help companies just like yours build a distributed, deskless workforce that stays for the long term.

Hiring AI

Artificial intelligence (AI) is rapidly changing the way organizations approach hiring and onboarding, particularly in industries with a distributed workforce, such as landscaping, construction, and manufacturing. AI's ability to streamline processes, reduce administrative burdens, and enhance the onboarding experience is proving invaluable for HR professionals tasked with ensuring a smooth transition for new hires.

This article explores the role of AI in the later stages of the hiring process, specifically in completing hiring paperwork, conducting orientation, and onboarding automation. We’ll dive into the pros and cons of these technologies, showcase some of the most popular AI-powered tools available, and provide insights into when it’s appropriate to use AI in these critical phases.

Types of Artificial Intelligence Used in Hiring & Onboarding

AI in hiring and onboarding goes beyond mere automation—it's about enhancing efficiency, consistency, and the overall onboarding experience. Key types of AI technologies currently being utilized include:

  • Natural Language Processing (NLP): This is used for generating customized onboarding documents, translating communication into multiple languages, and personalizing messages to new hires.
  • Machine Learning: AI analyzes feedback from past onboarding processes to predict areas for improvement and enhance future onboarding strategies.
  • Chatbots and Virtual Assistants: These AI-driven tools handle routine communications, such as answering FAQs from new hires, sending reminders about orientation schedules, and ensuring all necessary documents are completed.
  • Predictive Analytics: AI uses data from past onboarding experiences to anticipate potential challenges new hires might face, allowing HR teams to proactively address issues.

The Role of Artificial Intelligence in Hiring & Onboarding

AI is playing an increasingly pivotal role in making the onboarding process more efficient and tailored to the needs of each new hire. Here’s how AI is making an impact:

Streamlined Paperwork: AI automates the distribution, completion, and storage of onboarding documents, significantly reducing the time HR professionals spend on administrative tasks.

Enhanced Communication: AI-powered tools ensure timely and consistent communication with new hires, providing information on company policies, training schedules, and first-day expectations.

Personalized Onboarding: AI can customize the onboarding experience based on the new hire's role, department, and preferred learning style, helping them feel more comfortable and supported from day one.

Continuous Improvement: AI tools collect and analyze feedback from new hires, offering valuable insights that HR teams can use to refine their onboarding processes and enhance the overall experience.

How to Use AI in Hiring & Onboarding

AI can revolutionize the hiring and onboarding process, particularly for blue-collar industries with field-based employees. Here’s how you can effectively leverage AI in these phases:

Automating Document Management: Use AI to automatically send, complete, return, and store hiring and onboarding documents. This not only reduces administrative workload but also ensures compliance and accuracy.

Supporting Multilingual Communication: AI tools can translate onboarding materials and communications into multiple languages, ensuring all new hires understand the information provided.

Scheduling and Reminders: AI-driven tools can automatically send messages with relevant information ahead of orientation sessions, ensuring that new hires are well-prepared and informed.

Feedback Collection: AI can automate the process of gathering feedback on the onboarding experience, helping HR teams identify areas for improvement and enhance the process for future hires.

New Hire Check-ins: AI can be used to send follow-up messages to new hires during their initial weeks to ensure they are adjusting well and to address any questions they might have.

RELATED READING: New Employee Onboarding Checklist

Software Tools that Use AI in Hiring & Onboarding

When it comes to AI-powered tools for hiring and onboarding, several platforms cater specifically to the needs of these stages. Here are some popular HR onboarding software options:

  • ChatGPT and Google Translate: These versatile tools are not traditional HR platforms but can be used creatively to assist with multilingual communication and automating responses to frequently asked questions during the onboarding process, making them particularly valuable for companies with a diverse workforce.
  • Workable: Primarily a recruiting platform, Workable extends its AI capabilities into onboarding by offering automated workflows and easy integration with other HR systems. It's ideal for organizations that want a seamless transition from hiring to onboarding without needing multiple tools.
  • Paradox: Paradox’s AI assistant, Olivia, is designed for conversational interactions. It excels in automating routine communication, such as answering new hire questions in real-time and sending reminders. This tool is best for companies that prioritize a personalized, interactive onboarding experience.
  • Team Engine: Tailored specifically for blue-collar industries, Team Engine focuses on communication and engagement, ensuring new hires in industries like construction and landscaping are well-supported. Its AI capabilities are centered around maintaining strong communication links between managers and workers.
  • Greenhouse Onboarding: Greenhouse is known for its robust integration capabilities and data-driven approach. Its AI helps automate onboarding processes, making it a great choice for companies that need detailed reporting and a high level of customization in their workflows.
  • BambooHR: BambooHR is designed for small to medium-sized businesses and offers a user-friendly experience with AI features that simplify onboarding. It stands out for its focus on employee self-service, allowing new hires to easily complete tasks and access resources independently.
  • Lever: Lever’s AI tools are focused on improving efficiency and decision-making throughout the hiring and onboarding process. It's particularly well-suited for data-driven companies that want to leverage insights and analytics to refine their onboarding experience.
  • ADP Onboarding: ADP offers a comprehensive solution that integrates with its broader payroll and HR services. Its AI-driven onboarding tools are best for large organizations looking for a solution that ensures compliance and standardization across multiple locations.
  • Phenom People: Phenom is known for its AI-powered talent experience management, offering highly personalized onboarding experiences. It’s ideal for companies that want to create a smooth transition from candidate to employee by leveraging AI to deliver tailored content and support.
  • iCIMS: iCIMS excels in providing a unified onboarding experience with a strong emphasis on compliance and data security. It’s an excellent choice for regulated industries or larger organizations that need to manage onboarding at scale while ensuring a consistent approach.
RELATED READING: Learn more about preferred HRIS and payroll systems for SMBs and enterprise companies.

Advantages of Using AI in Hiring and Onboarding

Integrating AI into the hiring and onboarding process offers numerous advantages:

Time Savings 

By automating repetitive tasks like document management and scheduling, AI frees up HR professionals to focus on more strategic initiatives, such as improving the onboarding experience.

Example: AI can automatically generate and send offer letters, onboarding schedules, and required documentation to new hires. 

Impact: This automation allows HR professionals to focus on strategic tasks, such as improving employee retention strategies or managing multiple hires at once.

Consistency

AI ensures that every new hire receives the same onboarding information, reducing the risk of errors or omissions that can occur with manual processes.

Example: Imagine a janitorial services company that operates across multiple states with different compliance requirements. AI can ensure that every new hire receives the correct onboarding documentation and training materials, tailored to their specific location. This ensures that all employees start with the same foundational knowledge, regardless of where they are based.

Impact: Consistency in onboarding not only reduces the risk of compliance issues but also ensures that all employees have a uniform understanding of the company’s policies, procedures, and expectations. This can lead to better job performance and reduced turnover.

Scalability

AI tools can easily handle a large volume of onboarding tasks, making them ideal for organizations experiencing rapid growth or high turnover.

Example: A home services company, like a landscaping or HVAC repair business, may experience seasonal spikes in hiring needs. AI-powered platforms can scale quickly to handle the influx of new hires, managing everything from initial communication to onboarding without overwhelming the HR team.

Impact: AI’s ability to scale means that companies can handle sudden increases in hiring demands without compromising the quality of the onboarding process. This is particularly beneficial for businesses that rely on temporary or seasonal workers.

Enhanced Experience

AI-driven communication keeps new hires informed and engaged throughout the onboarding process, leading to a more positive experience and better retention.

Example: In the landscaping industry, where workers may not always have access to a computer, AI can facilitate communication through mobile devices. For example, employee onboarding software can send text messages with details about the first day on the job, what to wear, and where to go. This proactive communication helps candidates feel prepared and valued, leading to a more positive experience.

Impact: An enhanced candidate experience can lead to higher acceptance rates, lower dropout rates during the hiring process, and ultimately, a stronger employer brand. This is crucial in industries where competition for skilled labor is fierce.

RELATED READING: Provide an exceptional experience every time using this employee onboarding template

Data-Driven Insights

AI collects and analyzes data throughout the onboarding process, providing valuable insights that can help HR teams refine their strategies and improve future outcomes.

Example: A manufacturing plant may use AI to track the progress of new hires during their first 90 days. By analyzing feedback and performance data, the HR team can identify trends, such as which onboarding practices lead to higher retention rates or which types of training are most effective for specific roles.

Impact: Data-driven insights enable continuous improvement of the hiring and onboarding processes. By leveraging AI to analyze large datasets, companies can make informed decisions that enhance employee satisfaction and retention, ultimately leading to better business outcomes.

Disadvantages of Using AI in Hiring and Onboarding

While AI offers many benefits, it’s important to be aware of potential drawbacks:

Impersonal Experience

Over-reliance on AI can make the onboarding process feel impersonal, which may lead to disengagement or dissatisfaction among new hires.

Example: Consider a scenario where a new hire in a small plumbing business receives all onboarding communication via automated emails and chatbots. Without any human interaction, the new employee may feel disconnected from the company culture, leading to disengagement from the start.

Impact: The lack of personal touch can make the hiring and onboarding process feel cold and impersonal. This is particularly concerning in industries where relationship-building and trust are crucial for employee satisfaction and long-term retention.

Bias in Algorithms

If AI tools are trained on biased data, they could perpetuate these biases in the onboarding process. It’s crucial to monitor AI outputs and ensure that human oversight is maintained.

Example: If an AI system used in hiring is trained on historical data that reflects biased hiring practices, such as favoring candidates from specific backgrounds, it may continue to perpetuate these biases. 

Impact: Bias in AI algorithms can lead to unfair hiring practices and a lack of diversity in the workplace. It’s crucial for HR professionals to regularly audit and adjust AI systems to ensure they are promoting fair and equitable hiring practices.

Cost

Implementing high-quality AI tools can be expensive, which may be a barrier for smaller organizations or startups.

Example: A small janitorial company may find it cost-prohibitive to invest in high-quality AI tools that offer comprehensive onboarding features. The initial investment, combined with ongoing maintenance and training, can strain the budget of smaller businesses.

Impact: The cost barrier can prevent smaller organizations from adopting AI, potentially putting them at a competitive disadvantage compared to larger companies that can afford these tools. This could lead to inefficiencies in hiring and onboarding, as well as higher turnover rates.

Complexity

AI systems can be complex to implement and manage, requiring significant resources and expertise to ensure they function effectively.

Example: Implementing an AI-powered onboarding system in a manufacturing plant may require significant training for HR staff, as well as ongoing technical support. If the system is not user-friendly or if employees struggle to adapt, the onboarding process could become more complicated rather than streamlined.

Impact: The complexity of implementing and managing AI systems can lead to frustration and decreased efficiency. It’s important for companies to choose AI tools that are intuitive and provide adequate support to ensure a smooth transition, otherwise employees may never be willing to try new tools again.

Over-automation

There’s a risk of automating too much, leading to a lack of human oversight and potentially missing out on important nuances in the onboarding process.

Example: In a construction firm, over-automating the onboarding process might lead to missed opportunities for human interaction, such as a personal welcome from a manager or a team-building activity. These human elements are crucial for helping new hires feel integrated into the company.

Impact: Over-reliance on automation can result in a disconnect between new hires and the company culture. Striking the right balance between automation and personal interaction is key to successful onboarding.

The Moral Dilemma: When to Use AI in Hiring and Onboarding

AI can be a powerful tool in the hiring and onboarding process, but it’s essential to know when to rely on it and when human intervention is necessary. Here’s a guideline:

Use AI For:

  • Routine tasks like document management and scheduling.
  • Collecting and analyzing feedback to improve the onboarding experience.
  • Ensuring consistency in communication and onboarding processes.

Avoid AI When:

  • Making decisions that require understanding context and nuance, such as evaluating new hire feedback or addressing concerns.
  • Handling sensitive issues that require a personal touch.
  • Engaging with new hires on a deeper level, such as building relationships or addressing individual needs.

AI is undeniably transforming the hiring and staff onboarding processes in blue-collar industries, offering tools that streamline operations, enhance communication, and provide valuable insights. However, the key to successful integration of AI lies in knowing when to leverage its strengths and when to rely on human judgment and interaction. By thoughtfully combining AI with the human touch, HR professionals can create an efficient, fair, and engaging onboarding experience that sets new employees up for long-term success.

In the future, we can expect AI to play an even more integral role in hiring, with advancements that will make it easier to personalize onboarding experiences, predict employee success, and ensure that organizations are making the best possible hires. However, the human element will always remain a critical component, ensuring that technology enhances rather than replaces the personal connections that are essential to successful hiring and onboarding.

If you’re committed to providing a better, more engaging employee experience, Team Engine makes it possible.