When the source of high-quality human resources increasingly scarce, businesses not only need to recruit quickly, but also to ensure choose the most suitable candidate with the position and company culture. However, the method of recruitment, traditions are still many limitations such as take too much time to sift profile, easy-to-happen errors when evaluating candidates, the lack of consistency in the selection process.
In that context, the application AI in recruitment is becoming a tool to support strong help businesses optimize the recruitment process, save costs and improve the quality of candidate inputs. So AI be applied in the recruitment like? Business will get what are the benefits when deploying this technology? Let's Lac Viet Computing find out details in this article.
1. App AI in recruiting is what?
App AI in recruitment is the use of technology to automation to improve the efficiency of the recruitment process, from stitching post, screening resumes, personnel evaluation, to interview, to predict the appropriate level of candidates with job placement. Instead, enterprises must take weekly or monthly to read and filter hundreds, even thousands, CV, AI can perform in minutes with high accuracy.

An example easy to understand about AI in recruitment is filtration system, automatic profile (Resume Screening AI). When the business receives the largest number of candidates, AI will scan and analyze the content of each CV, collated with important criteria such as skills, experience, qualifications, help quickly identify the most suitable candidates, which helps save time but also reduce errors when evaluating candidates.
In addition, AI can automatically rank candidates according to the degree of matching vacancies, based on data such as job description, required skills, work experience. For example, if the business is recruiting a marketing executive with experience running ads Facebook, AI can prioritize candidates with background in the field, at the same time filter out the candidates have not enough criteria to help recruiters focus on the records most potential.
Don't just stop at the stage of screening, AI also assisted in the interview process. AI system interview can automatically evaluate voice, body language, content reply of candidates to make a decision about the appropriate level with job placement. To help businesses avoid subjective factors in the evaluation process and ensure more equitable in recruitment.
In summary, AI does not replace humans in recruitment, which role is your smart assistant, to help optimize processes, reduce processing time and improve the quality of recruitment through accurate data and insightful analysis. The business application AI into recruitment can quickly find the right talent fit without spending too much effort and cost as before.
2. Why business should apply AI in recruitment?
The recruitment process of traditional often time-consuming, prone to errors in the evaluation of candidates and can create a bad experience for candidates. To solve these problems, artificial intelligence (AI) is in many business applications in order to optimize the recruitment process, helping to improve efficiency, reduce costs and improve the recruitment experience overall.
2.1. Optimization needs time and recruitment costs
One of the biggest reasons why business apps AI in recruitment is the ability to shorten the processing time profile and optimal recruitment costs.
Usually, the recruitment process for a position can last from 4 – 6 weeks, especially with those businesses that receive hundreds, even thousands, of candidates. Employers have to spend more time reading and screening resumes, contact, interview, evaluate candidates, causing pressure on the hr department, the slow process of looking fit.
AI help businesses significantly cut this time by automation step screening resumes, data analysis, candidates and support initial assessment. According to a study by LinkedIn 2024, the business use of AI in recruitment can be reduced by up to 40% of the time recruiter, helping them quickly find suitable candidates and not to lose talent to competitors.
Additionally, AI helps to reduce recruitment costs by saving human resources and optimize the process of finding candidates. A study by Deloitte indicates that the application AI can help businesses save an average of 30 – 50% of the cost of hiring, especially for the enterprise-scale big recruitment. Instead of having to hire additional personnel or use the service outside recruiters, businesses can use AI to handle the task repeats, allowing personnel to focus on the work to be more strategic.
2.2. Improve the quality of recruitment, reduce errors
One of the problems often encountered in recruitment traditions is subjectivity and errors in the process of evaluating candidates. Employers may be affected by personal feelings, prejudices unconscious or simply overlook the potential candidates because of the number of records is too large.
AI help businesses make hiring decisions more accurate by using data and algorithms to assess candidates objectively. Instead of just based on sentiment, AI analyze the information, profile, work experience, skills, even the feedback from the interviews to rank candidates according to the degree of matching vacancies.

A clear demonstration is Unilever – one of the multinational corporations in the world. Previously, the recruitment process of Unilever usually takes more time, there are many flaws due to the volume of records is too large. After application of AI in the recruitment process, Unilever has reduced to 70% of errors in the selection of candidates and significantly enhance the quality of personnel input. AI help them to focus only on those candidates with the highest potential, at the same time eliminate the element of bias in the selection process.
Besides, AI can support the rated capacity of the candidate in a comprehensive way. Some of the AI system can analyze voice, intonation, body language, and content replies in the interview to determine the level of confidence, the fit with the work, the communication skills of the candidates. Especially useful in areas such as sales, customer service or management where communication skills play an important role.
2.3. Improve the experience of the candidate
In addition to helping businesses recruit more efficient apps, AI in recruitment also plays an important role in improving the experience of candidates – an important factors help businesses attract talent.
A study from Glassdoor 2024 shows that 85% of applicants have a better experience when businesses use AI to assist in the hiring process. The main reason is to help the recruitment process quickly become more professional.
Below are some of the ways AI improves the experience candidates:
- Feedback quickly: Instead of having to wait for weeks to get feedback from employers, AI can automatically send confirmation emails, notifications, results, round profile and schedule interviews immediately, to help candidates feel the recruitment process more clearly.
- Chatbot support 24/7: Chatbot AI can help candidates to answer questions about location, hiring, job descriptions, benefits, and interview process quickly without waiting for feedback from hr. This helps candidates prepare better and feel more reassured when applied.
- The recruitment process more fair: AI eliminate the factors that bias should not be, ensure all candidates are evaluated based on skills, actual capacity instead of the subjective factors such as gender, age, or the production itself. Help create an environment recruitment transparent, fair, professional, help businesses enhance brand recruitment of yourself.
For example, Coca-Cola has implemented chatbot AI support candidates throughout the recruitment process. As a result, they have improved by 30% the proportion of candidates back to apply in other positions, because they feel the recruitment process transparent and friendly than the traditional way.

3. The application AI stand out in recruitment activities
3.1. AI automatic screening candidate profile
One of the biggest challenges of the business when hiring is handling large number of candidates in a short time. With hundreds, even thousands of resumes for a position, the filter manually it is time-consuming, prone to errors, missed the potential candidates. This is when SOMEONE promoting their strengths.
AI can automatically parse your CV and compare information candidates with the requirements of vacancies, then rank candidates based on the appropriate level. System, AI not only read the text but also understand the context, helps to identify the skills, experience important that businesses are looking for.
For example: A company e-commerce get more than 10,000 records per month for the position of sales, marketing and customer care. Previously, the hr team must take 2-3 weeks to filter crafts. After applying the AI, this time down to just a few hours, with greater accuracy thanks to AI algorithms identify keywords, experience, evaluation model based on recruitment data before that.
Clear benefits:
- Up 70-80% of the time filter profile help recruiters focus on the candidate most potential.
- Avoid mistakes and personal prejudice when screening, to ensure objectivity.
- Improve the efficiency of recruitment to help businesses find the right candidates faster.

3.2. Interview automatically by AI (AI Interview)
The interview process-traditional common multiple limitations such as loss of time schedule, depending on the interviewer, difficult to objectively evaluate applicants. AI helped solve this problem by automating the interview process through analysis technology of voice, body language, and content answers of the candidates.
AI interview works as follows:
- Candidates answer questions via video or chatbot according to the scenario available.
- AI analysis of voice, speed of reply, the level of confidence, content replies to assess the skills of candidates.
- The system automatically rank candidates based on criteria given in advance, helps employers to have an overview before a final decision.
For example, Amazon has used AI to the interview location, customer service, help to assess the communication skills of the candidates based on the voice, how to handle situations. The results showed that the rate choose the right suitable candidates increased by 30%, the same time duration interview shortened significantly.
Benefits of AI interviews automatic:
- Save time, employers only need to evaluate the candidate has passed the screening instead of interviewing each person.
- Reduce the bias, ensuring all candidates are evaluated on the same criteria.
- Optimized experience candidates, help them more flexibility when interviewed that does not depend on the schedule of the employer.

3.3. Chatbot recruiting support automatic
One of the important factors in the experience of applicants is the ability to interact quickly with the business. However, the hr team can't always be on hand to answer all questions of the candidates. AI chatbot is the ideal solution to support candidates 24/7, to answer questions, provide information about work, guide the recruitment process.
Active way of chatbot AI in recruitment:
- Answer the common questions such as job requirements, benefits, salary, the hiring process.
- Support registration or filing on the website.
- Guide candidates how to interview preparation, help them more confidently than before when meeting employers.
For example: System chatbot recruitment of Unilever can handle more than 250,000 candidates each year, to help enterprises shorten the recruitment time down from 4 months at only 4 weeks.
Benefits of chatbot AI in recruitment:
- Improving the experience of applicants, help them get the information quickly.
- Save time for employers to reduce the volume of manual work.
- Process automation, helps enterprises build your employer brand more professional.
3.4. AI analysis to predict trends in recruitment
One of the applications AI in recruiting the most effective is the ability to predict trends in hr help business plan recruitment more effective.
AI can analyze data from the labor market, demand for internal recruitment and work performance of current employees to propose the hr strategies optimal.
For example, Google has applied AI to predict staffing needs in the engineering department, and marketing, helping them to actively recruit before the actual needs, ensuring no shortage of important personnel.
AI analyze data from multiple sources, including:
- History recruitment of business (the rate of employee retention, recruitment time average).
- Trends in the labor market (the average wage, common skills).
- The performance of current employees, help predict demand for alternative or additional personnel.
Business benefits received when app AI to predict recruitment:
- Reduce the shortage of hr to help businesses be more active in hr planning.
- Optimize recruitment costs, avoid recruiting massively or excess manpower.
- Improve your ability to retain talent, thanks to analysis are factors that affect the engagement of its employees.
4. Process application deployment AI in recruitment business efficiency
To app AI in recruiting effectively, businesses need to have a roadmap to deploy it, make sure everyone can work correctly and bring real value. Here are four important steps to help businesses apply AI in recruitment success.

Step 1: Determine the specific goal when applying AI in recruitment
Before deployment, the business should define specific goals that will help optimize in the recruitment process. A number of important questions need to set out:
- Businesses are problems in recruiting? (Time screening for too long, recruitment cost, high rate of hiring the wrong people, big...)
- The main goal when using AI what is? (Automated resume screening, support, interview, improved experience candidates...)
- The scope of application of AI in recruitment to where? (Only support personnel or completely replace some of the craft?)
For example, if the business has the number of candidates, but the hr department is not enough time to review each CV, then AI filter automatic profile is the solution needs to prioritize. Meanwhile, if the business wants to improve the experience of applicants, increase interaction, chatbot AI recruitment support will be the right choice.
Identify the right target right from the start to help businesses avoid the deployment spreading ensure AI is application the right place.
Step 2: Select solution for AI recruiting suitable and reputable supplier
After determining the goal, enterprises need to choose the solution AI match the recruitment needs. Not all the AI system are the same, so choosing the right tool will determine the effective deployment.
There are a number of the form AI popular in recruitment that businesses can consider:
- System ONE filter profile automatically: for business has volume profile, need a quick screening.
- Chatbot recruiting: Supports answer the questions of the candidates, automatically schedule interviews.
- AI interview-automatic: reviews, voice, content, reply, gesture the face of the candidate to analyze the appropriate level.
- AI predicted recruitment trends analysis, market data and staffing needs in the future.
After selecting solutions, businesses need to find a technology provider AI credibility. Criteria to select a suitable partner include:
- Experience in implementing AI in the field of recruitment.
- The ability to customize the solutions according to business needs.
- Support services and maintenance after deployment.
- The security of your data and comply with regulations on privacy.
Choosing the right supplier to help businesses ensure AI smooth operation, in accordance with the recruitment process, current and likely future expansion.
Step 3: Prepare your data and train AI to identify candidates
AI operate most efficiently when provided the data accurate and complete. If the input data does not guarantee the quality, AI will give the result false, affecting the efficiency of recruitment.
Businesses need to prepare data such as:
- Candidate profile in the past (CV, work experience, results, recruitment earlier).
- Data about the performance of current employees (for AI learning models hr success).
- Criteria for evaluation of candidates under each position (for AI resume screening and ranking of candidates correctly).
For example, a company in the information technology sector can provide data about the programming skills most important, help ONE priority selection candidates with skills best suited to the job.
After obtaining the data, AI should be trained to improve the accuracy. This process can take from several weeks to several months, depending on the amount of input data and the complexity of AI.
Step 4: test implementation, performance evaluation and adjusted continuously
When ONE is ready, the business should implement testing before applying widely. This stage helps business check:
- AI are candidates correctly?
- Candidates have positive feedback when using chatbot or AI interview?
- Employers can see AI supports effective or cause difficulty in the recruitment process?
After testing, the business needs to collect feedback from our team of recruiters and candidates, to regulate AI. The tweak makes the system increasingly smarter, in accordance with the actual needs of the business.
5. Solution AI in recruitment from Vietnam
Lac Viet provide application solutions AI in recruitment, comprehensive help businesses automate the important step in the recruitment process, including resume screening, support, interview, chatbot care applicants and data analysis careers.
The salient features of the solution AI recruit from Vietnam
- AI sift profiles quickly: analysis of CV candidates based on keywords, experience, skills, helps to shorten the time of recruitment.
- Interview automatically by NOBODY: reviews, voice, content reply of candidates, support employers in making decisions.
- Chatbot recruitment: Support 24/7, help them learn about the position and set interview schedule easily.
- AI, data analysis, recruiting: predicting trends in recruitment, help businesses build strategic hr long term.
Benefits when businesses use AI recruitment from Vietnam
- Reduce 50% of the time screening candidates, to help businesses recruit faster.
- Improve the quality of candidates, thanks to the ability to accurately assess from AI.
- Save on recruitment costs, help businesses optimize personnel budget.
- Create a professional experience for candidates, increasing the proportion of attracting talent.
Do you know businesses are spending a lot of money to pay for staff looking for information?
- Of 1.8 hours per day employees spend out to search and collect information, the equivalent of 9.3 hours per week
- Business loss 500 hours per year for employees to perform searches for information for work
- 63% leadership said the sharing of knowledge and information internal trouble, reduce the productivity of the business
Lac Viet Chatbot AI assistant – Freeing up personnel to focus on creative work
- Virtual assistant process – approved LV Chatbot AI for Workflow: Access quick information, content summary, revise errors on file the signed
- Virtual assistant accountant LV Chatbot AI assistant for Finance: remove input crafts, bring the data to the correct input, automatically prompt-term LIABILITIES – PAYMENTS, cash flow forecasting, warning of financial risks
- Virtual assistant customer care LV CareBot AI assistant: Integrated Chat on multi-platform, feedback and customer requests quickly, consulting, flexible, not being constrained by fixed script
- Virtual assistant hr LV Chatbot AI for HXM: save 70% time for HR and leadership, extract the entire database of candidates any file format, faq auto welfare policies, rules, regulations 24/7, statistical, personnel, resources, business in few seconds.
CONTACT INFORMATION:
- Lac Viet Computing Corporation
- Hotline: 0901 555 063 | (+84.28) 3842 3333
- Email: info@lacviet.vn – Website: https://lacviet.vn
- Headquarters: 23 Nguyen Thi Huynh, P. 8, Q. Phu Nhuan, ho chi minh CITY. Ho Chi Minh
If your business is looking for a recruitment solutions modern Lac Viet AI is your ideal choice. With advanced technology, Vietnam to help businesses automate the recruitment process, reducing costs and improving the efficiency of searching for talent.