Screen for Real Candidates, Not AI Drafts
AI-polished cover letters and work samples are showing up in application pipelines at volume. Aiscern flags likely AI-generated submissions in a batch scan so recruiters spend interview time on candidates, not AI output.
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AI Drafts Are Crowding the Funnel
The AI content problem is getting harder to solve. Here's what professionals in human resources face every day.
Cover letters are indistinguishable from AI output
Candidates routinely use ChatGPT, Claude, and Gemini to generate polished cover letters. HR teams spend hours on applications that don't reflect genuine candidate voice.
AI-assisted portfolios misrepresent skills
Writing samples, case studies, and project summaries submitted for evaluation can be AI-generated, misrepresenting a candidate's actual capabilities.
No scalable screening process
Manual review for AI content doesn't scale. A busy recruiter cannot realistically evaluate hundreds of applications for authenticity.
Legal exposure from unverified assessments
Hiring decisions made on AI-generated work samples can create liability if discovered post-hire.
How It Fits Your Workflow
Bulk Upload
Drop a folder of applications for the open role.
Run Ensemble Screening
Cover letters and work samples are scored against the 8-model ensemble.
Review Prioritized Queue
Sort applicants by confidence score before scheduling interviews.
How Aiscern Solves It
Our ensemble-based detection pipeline combines 8+ specialized models with a confidence threshold system.Learn about our methodology →
Ensemble Text Detection
Multi-model analysis flags AI-generated cover letters, personal statements, and written assessments with high confidence.
Batch Upload
Drop a folder of applications and screen all cover letters in minutes. Results dashboard shows risk scores at a glance.
Work Sample Analysis
Analyze longer documents like project write-ups, case study responses, and code documentation for AI generation.
Confidence Scoring
Every result shows a confidence breakdown — not just a binary flag. Decide your own threshold for follow-up questioning.
Audit Trails
Exportable PDF reports with scan timestamp and model breakdown — defensible records for HR documentation.
Privacy First
Candidate data is processed ephemerally. We never train on your submissions. Full data handling details at /transparency.
ℹ️ Accuracy varies by content type and model generation date. Results are probabilistic — use alongside human judgment.See full benchmarks →
Real-World Use Cases
Application Screening at Scale
Challenge
An in-house recruiter has 200 cover letters from one role posting and limited review time.
Action
The batch is uploaded to Aiscern before manual review begins.
Technical Writing Assessment
Challenge
A SaaS company's take-home writeup needs to reflect a candidate's own thinking.
Action
Submissions are scanned before evaluators score them.
Pre-Interview Verification
Challenge
A staffing agency needs shortlisted candidates' materials to match their self-reported capabilities.
Action
Final-round materials are scanned before interviews are scheduled.
How Aiscern Compares to Manual review
| Feature | Aiscern | Manual review |
|---|---|---|
| Time for 500 applications | Minutes | Days |
| Consistent scoring criteria | ||
| Confidence uncertainty zone | N/A | |
| ATS-ready API | N/A | |
| Audit trail export |
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Frequently Asked Questions
Is it fair to reject candidates based on AI detection?
We recommend using Aiscern as a screening signal, not a final decision. High AI scores should prompt a follow-up conversation or an alternative assessment — not automatic rejection. The tool surfaces patterns; humans make decisions.
Can Aiscern analyze PDF resumes?
Yes. Our batch endpoint accepts PDF, DOCX, and plain text. Text is extracted and analyzed through the full detection ensemble.
What about candidates who use AI to polish grammar only?
Light AI editing (grammar correction, tone adjustment) typically scores in our uncertain zone (39–61%). Full AI generation scores ≥62%. We distinguish between editing assistance and wholesale generation.
Do candidates know their applications are being scanned?
We recommend disclosing in your job posting that applications may be screened with AI verification tools, consistent with your regional privacy laws and HR policies.
Can we integrate with ATS platforms like Greenhouse or Lever?
API access is available on Pro and Team plans. You can integrate our detection endpoint with any ATS that supports custom webhooks or zapier-style automation.
Ready to detect AI content in human resources?
Start with a free account — no credit card, no commitment. Upgrade when you need more scans.