AI-Agnostic Integration in Frappe HRMS: Revolutionizing Recruitment for Manpower Companies
Frappe HRMS, built on the Frappe Framework, enables vendor-neutral AI integration. A recent manpower use case shows how switchable AI tools streamline the recruitment process end to end.
- From JD to JRSS Generation
- Technical Questions Generation
- Boolean Search Strings for Platforms
- AI-Powered CV Analysis
- Initial Screening Questions
- Comprehensive Candidate Evaluation
- Configurable Prompts and Multi-AI Support
The system auto-generates Job Requisition Specification Sheets (JRSS) from uploaded Job Descriptions (JDs). AI parses requirements into structured formats, populating fields like skills, experience, and qualifications directly in Frappe HRMS Job Requisition doctype. This eliminates manual data entry, saving hours per role.

AI dynamically creates role-specific technical questions based on JD keywords. Configurable prompts ensure questions match difficulty levels—junior, mid, or senior—integrated as Interview Question sets in Frappe. Questions adapt to tech stacks like Python, React, or ERPNext.

From JRSS, AI generates optimized Boolean search strings for platforms like LinkedIn, Naukri, or Indeed. Examples: "(ERPNext OR Frappe) AND (consultant OR developer) AND India AND 3+ years". Strings export directly to Frappe's custom fields or clipboard for quick sourcing.
Uploaded CVs undergo AI analysis for skill extraction, experience mapping, and fit scoring against JRSS. Results populate Candidate doctype with auto-filled skills, years of experience, and match percentage. Supports PDF/Word formats with OCR fallback.
AI tailors initial screening questions per candidate profile, delivered via email/SMS or Frappe portals. Responses feed into automated scoring, advancing top candidates to technical rounds while archiving mismatches.
Holistic scoring combines CV analysis with screening call transcripts. AI evaluates responses for technical accuracy, communication, and cultural fit, generating reports in Frappe's Evaluation doctype. Scores trigger workflows like interview scheduling.
All features use customisable prompts stored in Frappe Site Config or doctype fields, e.g., "Analyze CV for ERPNext skills: {jd_text}". Switch providers (OpenAI, Anthropic, Grok, Llama) or versions via a single config toggle—no code changes needed. Frappe's REST API and whitelisted functions handle calls agnostic to backend.
This implementation cut hiring time by 60% for the manpower firm, handling 500+ monthly requisitions. Leverage Frappe HRMS's low-code extensibility for your AI recruitment needs.
- 70% faster screening cycles.
- 40% improved hire quality via consistent evaluation.
- Cost savings from provider competition.
- Future-proof against AI platform .
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