You feel the pressure. Reqs pile up. Stores are understaffed. Hiring managers gripe about the poor quality of applicants. Your hiring process is designed for a different time. In today’s high volume hiring, indecision is punished, and confusion is not tolerated.
Speed and predictability are the promise of AI hiring. But with speed and predictability come new risks. You need to understand the benefits of AI hiring, the limitations of AI hiring, and the challenges of AI hiring in relation to the way you hire now.
This guide will help you understand the tradeoffs of AI recruitment so you can hire more quickly than your competitors while maintaining quality of hire, retention, and reputation.
What is Traditional Hiring?
Traditionally, hiring involves human intervention in almost every aspect. You post the job on the board, wait for applicants, and then your team reviews the resumes one by one. Recruiters and hiring managers quickly scan the resume for keywords.
Traditionally, the hiring process is as follows:
- Generic job posts sent to the general board
- Resume screening for basic qualifications
- Phone screening if the person is available
- Interviews that vary based on location
- Hiring based on instinct and the need to fill shifts
This process is dependent on individual effort. Every recruiter has their tricks and workarounds. Every manager has their own way of weighing resumes. There is nothing that scales across hundreds of locations or thousands of applicants.
The impact of this looks like:
Slow time to fill
High turnover in the early days of new hires
Applicants who would perform better than your hire are slipping through the cracks
Candidate experiences vary by location
The traditional process favors applicants who know how to present themselves, not those who show up, perform, and stay. This has significant impact on labor costs in a high-volume operation and revenue.
What is AI Hiring?
In an AI hiring process, the following are the steps involved:
- Attract the audience with sources that are linked to the top performers
- Use the AI system to rate the candidates, not the resume
- Automate the basic communications
- Help the managers select the candidates with the higher probability of success
The benefits of AI recruitment are:
The AI recruitment system learns the patterns from the historical hiring and retention data. This way, the system learns the signals that are linked to the performance of the candidates, the tenure of the employees, and the number of no-shows.
The Cadient SmartSuite™ is a system that is designed to focus on intelligent high-volume hiring. The system offers several products, including SmartSource™, SmartMatch™, SmartScore™, SmartTenure™, SmartScreen™, and SmartTexting™. These tools help in the replacement of the manual guesswork with the use of structured signals that are linked to performance.
The AI hiring process is not the replacement of the human element in the hiring process; it is more of an allocation of the human element in the hiring process.
Key Benefits of AI Hiring
The benefits of AI hiring will be felt in your day-to-day work, not just in future strategy sessions. Therefore, when you consider the benefits of AI hiring, you should consider how it affects your time, your focus, and your results.
1. Faster time to slate and offer
In a traditional recruitment process, several days go by before anyone even looks at resumes. And each day you wait is a day you risk losing your best candidates to quicker competitors. AI hiring uses real-time scores and rankings to prioritize your applicants for you.
Using predictive tools such as SmartMatch and SmartScore, you go from inbox chaos to a ranked list of applicants. Your recruiting and hiring teams contact your best candidates in hours, not days. For retail, hospitality, healthcare, and eCommerce, this means filled shifts and customer coverage.
2. Better signal on fit and retention
Traditional hiring relies on surface-level data. Resume keywords. Previous brand names. Interview performance for people who interview well. These factors do not necessarily correlate with show rate, attendance, and tenure.
One of the primary advantages of AI-based hiring is that it provides deeper signal. Predictive systems like SmartTenure™ examine patterns from your past hires, then score new applicants on their probability of staying and performing.
This can be especially important for high-volume roles. When your front-line employees have higher tenure, you eliminate new hire training cycles, preserve team morale, and free store and site leaders to focus on operations instead of constantly backfilling talent.
3. Consistency across locations and hiring managers
The use of AI hiring also ensures that every store, warehouse, or clinic gets the same view of the candidate. It does not forget anything or change its mind halfway through the hiring process.
This ensures that the quality of hire does not vary significantly between locations. Your talent acquisition team can have the confidence that the hiring process followed in one district is the same as the one followed in another.
4. Less manual busywork for recruiters
Some of the advantages of AI hiring include the reduction of the manual burden on recruiters. Screening, communication, updates, scheduling, etc. – all of this takes up a lot of time.
A platform like SmartSuite™ helps recruiters filter through applicants using SmartScreen™, communicate effectively with applicants through SmartTexting™, etc. This frees up more time for relationship building with hiring managers.
5. Stronger candidate experience
The candidate expects fast and clear communication. In a traditional recruitment process, messages get lost, and people end up waiting for responses, which they never receive, and then they apply elsewhere because they have heard nothing.
AI recruitment assists with fast and clear communication. SmartTexting™ keeps candidates updated on what is going on. There is no black hole effect, even if they do not get the job, as they will still get an update.
The benefits of AI recruitment at this level mean that your brand is protected. Candidates who feel they have been treated well will still shop at your store, will still speak positively about your care, and will still come back to apply for other roles.
6. Smarter sourcing tied to quality, not volume
The traditional recruitment process is all about advertising your job opening everywhere and hoping for the best. Then you go and spend money on low-quality traffic and ask your recruiters to sort through the noise.
The benefits of AI hiring at this level show you a new way of thinking. Using tools such as SmartSource™, you’re no longer advertising your job opening everywhere and hoping for the best. Instead, you’re using the power of AI to see which of your recruitment channels is producing higher-quality and longer-tenured hires for your organization for each role and location.
7. Data that proves what works
With AI-powered hiring, you’ll have data across all your positions, locations, and time. You’ll know how long positions take to fill, which assessments predict tenure, and which steps slow your process.
These are the benefits of using AI in recruitment that matter if you report to finance and operations leaders. They want to talk about hiring in terms of data, not opinions. Time to fill. Turnover. Quality of hire. Cost of hire, related to retention, not just initial placement.
Limitations of AI Hiring
AI hiring is not a replacement for fixing the basics of your hiring, salary, or leadership processes if you are having trouble retaining your staff. Additionally, you need to address some of the obvious issues with AI hiring if you want your program to be responsible and effective.
1. Risk of bias if data reflects past decisions
The AI is only as good as the past decisions you’ve made, and if you’ve been biased in your hiring decisions, the AI will reflect those decisions. This is one of the first issues discussed with AI hiring.
You will need to create some form of governance around what variables you’re using and how you’re monitoring your results. A vendor who is focused on fairness and explainability of results will help you control some of the risk. Cadient works to create a SmartScore™ and SmartTenure™ using job-related signals and to ensure compliance with standards.
2. Over-reliance on scores without context
While scores make complex situations easier to understand, this can also cause managers to overlook the context. High scores do not mean success, while low scores do not mean failure.
To overcome these challenges associated with the use of AI in the hiring process, managers need to be trained to use the scores provided by the AI system. This means that managers need to ask questions, consider the work history, and consider the team composition. The use of AI in the hiring process is a tool to assist managers, not replace managers.
3. Candidate trust and perception
There are some candidates who are uncomfortable when told that the application process is being assessed by a machine. This is because when managers are not transparent about the process, it makes the candidates uncomfortable.
This is another limitation associated with the use of AI in the hiring process, which can be overcome by being transparent about the process.
4. Implementation and change fatigue
Talent teams already deal with many tools to manage their processes. Adding AI hiring platforms to the mix without a clear strategy will only make recruiters and hiring managers more frustrated. If the process is too heavy, adoption rates will suffer, and the promised benefits of AI hiring will never materialize.
You need a partner that understands the intricacies of high-volume hiring operations, not just the features of the technology. Cadient integrates SmartSuite™ workflows with the way your locations operate today to ensure you get the lift you need when it comes to time to fill and retention without added complexity.
5. Need for clean, relevant data
The AI recruitment model is based on quality data. If the data in your ATS is incomplete or inconsistent, the results from the first pass may feel off. This is one of the fundamental AI recruitment model issues facing many enterprises.
The solution is not perfection before you start. Start small. Start with priority positions for which there is sufficient historical data. Establish clear success criteria, such as tenure beyond a certain time period or completion of a training program. Then start with more positions as the model learns.
Which Hiring Method is Better for Enterprises?
Enterprises with high volume roles feel the pain points of traditional hiring first. If you deal with constant turnover in retail, hospitality, healthcare, logistics, or eCommerce, traditional hiring processes will struggle to scale.
The debate is over whether AI is better at hiring than humans. The answer is that it doesn’t have to be. The best approach is how AI hiring can augment human judgment and eliminate the weaknesses in your traditional recruitment processes.
The best approach for most large organizations is a hybrid approach that:
- Leverages AI to score, prioritize, and direct applicants quickly
- Keeps humans accountable for structured interviews and final decisions
- Continuously measures results to validate that benefits from AI hiring translate into higher employee retention and performance
- Adjusts processes based on data, not habit
This approach honors the limitations of AI hiring, yet leverages the benefits of AI recruitment.
At Cadient, we’ve designed our technology to work with this approach. SmartSuite™ integrates SmartSource™, SmartMatch™, SmartScore™, SmartTenure™, SmartScreen™, and SmartTexting so that AI is used where it is most valuable, then hands off to hiring managers with improved data.
Future of Recruitment — AI + Human Collaboration
The future of hiring in high-volume environments will be in partnership with AI systems and experienced leaders. AI will highlight patterns that are not visible to human eyes in real time.
As the models get better, you will demand more out of the models. Not only will the hiring process speed up, but the connection to business metrics such as turnover costs, productivity, customer satisfaction, etc., will also become apparent. Traditional recruitment process metrics will no longer seem adequate.
Your role as a TA or HR leader changes. Your role is no longer a traffic controller for requisitions, but rather the owner of a predictive hiring engine.
The challenges of AI hiring will continue to emerge. Regulations will shift. Candidate demands will escalate. The winners will be those who understand AI hiring as an intelligent system with human oversight, rather than a black box or the latest buzzword.
Cadient is for leaders who want to take control of their AI hiring, who want to replace guesswork with signal, and who want to deliver predictive hiring to their front-line workforce.
If you are ready to take control of your AI hiring, if you want to build an intelligent high-volume hiring engine for your organization, then talk to us at Cadient.
