How to Streamline Recruitment with the Help of Artificial Intelligence

Why manual screening of CVs is the biggest waste of time in HR

If you work in the human resources department of a company in Romania, you probably already know the scenario: you publish a job ad, and in a few days you receive tens or even hundreds of applications. Each CV must be opened, read, evaluated and compared with the job requirements. Industry studies show that an HR specialist spends an average of 23 hours a week on screening activities alone - almost 70% of the working time dedicated to recruitment.

This repetitive work is not only tiring, but also prone to errors. After the 50th CV read in the same day, concentration decreases and valuable candidates can be overlooked. In addition, candidates who wait weeks for an answer end up accepting offers from competitors. The result? Waste of time, money and talents.

Artificial intelligence fundamentally changes this equation. We are not talking about a futuristic technology - we are talking about concrete tools, now available in the Treegarden platform, that automate repetitive tasks and allow HR teams to focus on what really matters: the relationship with candidates and strategic decisions.

What AI actually means in the context of recruitment

When we hear "artificial intelligence in recruitment", many think of complicated scenarios or robots making decisions instead of people. In reality, AI in recruitment is a set of algorithms that analyze data and identify patterns - exactly what a recruiter does manually, but at an incomparably greater speed and scale.

Concret, AI-ul dintr-un ATS inteligent precum Treegarden face trei lucruri esentiale:

• Analizeaza CV-urile automat- extracts the relevant information (skills, experience, education, certifications) and structures them in a uniform format, regardless of the original format of the document.
• Compare candidates with job requirements- evaluates the degree of match between each candidate's profile and the criteria defined for the role, generating a compatibility score.
• Learn from team decisions- as recruiters accept or reject candidates, the algorithm adjusts its criteria to reflect the company's real preferences.

Important to remember: AI does not replace human decision. He filters, organizes and prioritizes, but the final hiring decision always remains in the hands of your team.

AI Match Score - how Treegarden automatically evaluates candidates

The core functionality of the AI ​​module in Treegarden isAI Match Score- an automatically calculated compatibility score for each candidate related to the published job requirements. Here's how it works in practice:

Auto-reject rules - automate the first filters effortlessly

One of the most powerful functionalities of Treegarden is the system ofreguli auto-reject. This allows the configuration of clear thresholds below which candidates are automatically rejected, with personalized notification sent by email.

Here's how it works in practice:

1. Definesti pragul minim- for example, you set that all candidates with an AI Match Score below 40% are automatically rejected.
2. Configurezi criteriile eliminatorii- you can add additional rules: lack of mandatory certification, experience below a certain number of years, or absence of essential technical skills.
3. Customize the rejection message- rejected candidates receive a professional email, personalized with their name and a mention of the position they applied for. This maintains a positive experience for the candidate, even in the event of a refusal.
4. Monitorizezi rezultatele- in the Treegarden dashboard you can see how many candidates were automatically filtered, what was the distribution of scores and if the set thresholds require adjustments.

AI Interview Frame - intelligently generated interview questions

Once the AI ​​has filtered the candidates and you have a short list of relevant people, the interview stage follows. This is where it comes inAI Interview Frame- a functionality that automatically generates a set of interview questions adapted to the candidate's role and profile.

The main advantage is consistency. All candidates for the same role receive questions from the same categories, which makes the comparison objective. In addition, recruiters save valuable time that they would otherwise spend manually preparing each interview.

Case study: 200 CVs filtered to 15 candidates in a few minutes

Let's take a concrete example to see how all these functionalities work together. The fictitious company "TechBuild SRL" from Cluj-Napoca is looking for aDezvoltator Full-Stackwith experience in React and Node.js.

Pasul 1: Publicarea jobului.Recruiter Maria creates the ad in Treegarden, specifying the requirements: minimum 3 years of experience, mandatory knowledge of React, Node.js and PostgreSQL, and optional knowledge of TypeScript, Docker and AWS. The salary offered is between 8,000 and 12,000 RON net. Maria publishes the job simultaneously on the company website, LinkedIn and BestJobs directly from the platform.

Pasul 2: Primele aplicatii.In 5 days, the post attracts 200 applications. Traditionally, Maria would have spent about 3 full days just reading CVs. With Treegarden, each CV is automatically analyzed upon receipt.

Step 3: AI Match Score in action.The algorithm evaluates each candidate. The distribution looks like this:

• 28 candidates received scores between 80-100% - excellent match
• 45 candidates received scores between 60-79% - good match, but some optional skills are missing
• 52 candidates received a score between 40-59% - partial match
• 75 candidates received a score below 40% - unsuitable for the role

Pasul 4: Auto-reject.Maria configured a threshold of 50%. The 75 candidates below 40% and another 30 from the 40-49% range automatically receive a polite rejection email. In total, 105 candidates were managed without any manual intervention.

Pasul 5: Shortlist-ul.Maria focuses on the 28 candidates with a score above 80%. After a quick review of the profiles (portfolio check, consistency of experience), select 15 for the interview. The whole process took less than 2 hours, instead of 3 days.

Pasul 6: Interviurile.Maria activates the AI ​​Interview Frame, which generates a set of 12 structured questions for each candidate. The questions include practical scenarios ("Describe how you optimized a slow-rendering React application") and behavioral questions ("Tell me about a situation in which you managed a technical conflict in the team").

Concrete ROI: what you gain when you use AI in recruitment

Beyond the example above, let's analyze the numbers on a larger scale. For a company that makes an average of 10 hires per month, the impact of AI in recruitment looks like this:

Timp economisit:The manual screening of a CV takes an average of 7 minutes. For 200 applications per post, we are talking about 23 hours. With AI Match Score and auto-reject, this time drops to under 3 hours - an 87% reduction. Multiplied by 10 positions per month, the HR team recovers approximately 200 hours per month.

Reducerea costurilor:The time saved translates directly into money. If the hour of an HR specialist costs the company approximately 80 RON (gross salary plus contributions), 200 hours saved means 16,000 RON per month - almost 200,000 RON per year.

Calitatea angajarilor:Perhaps the most important benefit is difficult to quantify in numbers, but it is felt in practice. When the AI ​​eliminates the fatigue bias (the good candidate overlooked after 4 hours of screening) and ensures a consistent evaluation, the quality of the shortlist increases significantly. Companies that use AI in recruitment report a 25% higher retention rate at 6 months.

Candidate experience:A candidate who receives an answer within 24 hours (even if it is a refusal) has a much better image of the company than one who waits 3 weeks. Auto-reject with personalized messages turns even rejections into an opportunity for employer branding.

How do you start using AI in your company's recruitment?

Implementing AI in the recruitment process does not require technical knowledge or a large budget. With Treegarden, you can get started in less than an hour:

1. Create a free account pe app.treegarden.ioand configure the company profile.
2. Publica primul jobwith a detailed description - includes mandatory and optional skills, years of experience and any other relevant criteria.
3. Configureaza regulile auto-reject- set the minimum Match Score threshold and customize the rejection message.
4. Lasa AI-ul sa lucreze- as applications arrive, AI Match Score analyzes them automatically. You only focus on the top candidates.
5. Activeaza AI Interview Framefor selected candidates and prepares structured, consistent and relevant interviews.

The labor market in Romania is becoming increasingly competitive. Companies that adopt smart recruitment tools not only save time and money - they attract and retain talent better than their competitors. AI in recruitment is no longer a competitive advantage, but becomes a necessity.

Treegarden provides you with all these tools in a single platform, built especially for companies in Romania. Try it for free and discover how much you can streamline your team's recruitment process.