Optimise your hiring processes with It's AI

The most practical way is to add an AI detector for recruiters into your screening process. With It's AI you can:

• upload a resume, CV or cover letter;
• run a scan that flags sections likely written by AI;
• see a clear score and highlighted sentences for review.

You can then decide whether AI use is acceptable for that role, whether you need clarification from the candidate, or whether the application doesn't meet your authenticity standards.

To check a single application:

1. Upload the file or paste the text into It's AI.
2. Run a scan with the resume AI detector.
3. Review the overall AI score and the specific lines that look machine-generated.

Because It's AI acts as an AI detector for resumes and CVs, you can quickly see which parts of the document might come from a chatbot and which parts look genuinely written by the candidate.

Cover letters often combine templates, company boilerplate and AI drafts, so a detector is helpful. Use It's AI as an AI detector for cover letters:

• scan the full letter;
• focus on passages with high AI-likelihood;
• compare them with the candidate's CV or previous communication.

If the entire letter reads as AI-generated while other documents show a different style, it's a good reason to ask follow-up questions during the interview.

Detectors cannot say which exact model (ChatGPT, Claude, Gemini, etc.) was used, but they can estimate whether a piece of text is likely machine-generated. When you use an AI checker for recruiters like It's AI, you see how strongly an application matches patterns typical of LLM output.

This helps recruiters notice when a CV or cover letter appears to be written almost entirely by an AI tool, even if the candidate has edited it slightly.

Most ATS platforms don't yet have their own reliable AI detection, but you can extend them with external services. Using the AI detector API for ATS and ATS–AI detector integrations, you can:

• send new applications from the ATS to the AI detection API;
• receive scores and flags back as custom fields;
• trigger rules (for example, "send to manual review if AI score is high").

This turns your ATS into a system that not only tracks candidates, but also monitors how much AI is used in their documents.

When you receive hundreds of CVs, checking them one by one isn't realistic. With It's AI you can use a batch AI detector for resumes:

• upload a ZIP or folder with many files;
• process them in one run;
• review a table of results showing AI and plagiarism scores for each applicant.

This approach answers the query of how to screen multiple job applications for AI at once without building your own infrastructure.

Accuracy varies by tool and by how heavily candidates edit their drafts, but good detectors publish benchmark results. It's AI uses the same engine that leads the MGTD ROC-AUC scoreboard and performs strongly on RAID, GRiD and other datasets.

For resumes and cover letters this means:

• high sensitivity to raw or lightly edited AI-generated text;
• robust behaviour on mixed human-plus-AI documents;
• low false-positive rates when tuned for professional writing scenarios.

Still, you should treat the results as an informed signal, not as unquestionable proof.

False positives — human writing flagged as AI-generated — are the main risk in hiring. To minimise them:

• use a detector tuned for low false-positive rates (It's AI is trained to keep FPR under 1% on several benchmarks);
• avoid making decisions based on a single short paragraph;
• look at the whole profile: CV, cover letter, LinkedIn, interview answers;
• use AI detection as a reason to ask better questions, not as automatic grounds for rejection.

This way you gain the benefits of screening without unfairly penalising strong candidates.

It can be, if you choose a vendor with solid security practices and use the service correctly. When evaluating an AI detector application or API, check:

• whether data is encrypted in transit and at rest;
• how long documents are stored;
• whether they are reused to train other models;
• who in the organisation has access to logs.

It's AI processes resumes to produce AI and plagiarism scores but does not pass your data to third parties. For stricter environments, use secure networks, role-based access and, where needed, separate API keys for different teams.

The best option for recruiting teams is a tool that:

• understands resumes, cover letters and vacancy texts;
• supports batch processing and ATS integration;
• provides clear, explainable reports;
• respects candidate privacy and corporate policies.

It's AI is built as an AI detector for recruiters, HR and hiring managers. It offers batch CV scanning, deep scan for job descriptions, ATS-ready API endpoints, plagiarism checks and shareable originality reports. Combined with strong benchmark performance, this makes it a compelling choice when you want AI detection to be a stable part of your hiring process.