MOH-AI RECRUITER AI · AUTONOMOUS TALENT ACQUISITION AGENT

Autonomous Talent Sourcing & Screening for High-Velocity Engineering & Operations Teams

Eliminate resume parsing fatigue with real semantic evaluation. Screen hundreds of inbound profiles against custom technical rubrics, trigger interactive pre-screening bots, and track candidate metrics with zero data leakage.

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75%
Time-to-Shortlist Reduction
100%
Contextual Semantic Matching
0.0%
Candidate Data Training Leaks
BYOK
Bring Your Own Key or On-Premise
Full Interactive Screen Recording

Watch the Autonomous Recruiter in Action

Click any chapter below to jump directly to that workflow module in the video demonstration.

Live Screencast Walkthrough (2:52)
Functional Architecture

Five Modules of the Moh-AI Recruiter Suite

Engineered with human-in-the-loop oversight so recruiters retain 100% hiring authority while automating the manual grind.

1. AI Command Center

Type naturally in conversational English: "Show me candidates matching Python backend with AWS" or "Schedule interviews for top 3 applicants". The agent maps natural intent to pipeline state changes instantly.

  • Natural language queries for ATS data
  • Zero complex filter menus or boolean syntax
  • Instant pipeline status cards and summaries

2. Semantic Screening Studio

Traditional ATS systems look for exact keywords like "React". Our semantic evaluator understands contextual equivalents like "Next.js + Redux architecture" or "FastAPI async microservices" to stop false negatives.

  • Continuous 0-100% fit score matrix
  • Detailed scoring rationale breakdown
  • Flags missing non-negotiable requirements

3. Bulk Resume Ingestion

Drop a zip folder of 500 PDF or DOCX resumes or paste Google Drive / Dropbox shared folders. The ingestion engine parses layout, extracts candidate contact info, education, and roles without corrupting special characters.

  • Batch extraction in concurrent threads
  • Automatic profile deduplication
  • Parses non-standard multi-column resume layouts

4. Hiring Funnel Analytics

Keep executive leadership informed with live charts of applicant throughput, average screening turnaround times, offer acceptance ratios, and cost-per-hire telemetry.

  • Real-time stage-by-stage drop-off analytics
  • Recruiter velocity and response benchmarks
  • Exportable executive summary reports (CSV & PDF)

5. Private & On-Premise AI Isolation

Candidate PII (Personally Identifiable Information) is never used for public LLM training. Connect directly to your private Azure OpenAI tenant, AWS Bedrock, Anthropic, or an air-gapped on-premise model.

  • Full Bring-Your-Own-Key (BYOK) support
  • Automatic phone/email PII masking option
  • Compliance with DPDP Act (India) & GDPR (EU)

How Moh-AI Recruiter Compares

Real capabilities compared to manual hiring overhead and basic keyword search.

Feature / CapabilityManual StaffingLegacy Keyword ATSMoh-AI Recruiter AI
Screening 300 Resumes18-24 hoursKeyword match (unranked)Under 4 minutes with rubric
Contextual Skill ComprehensionHigh (fatigues easily)Zero (misses synonyms)Deep vector semantic matching
Data Privacy & Model TrainingLocal human reviewVendor cloud lock-in100% Private / BYOK / Zero-retention
Conversational Command CenterN/ANone (rigid menus)Full natural language control

Ready to Accelerate Your Recruitment Funnel?

Schedule an engineering consultation or start a 14-day production pilot with your own candidate criteria.

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