Development of AI System for HR Records Automation
HR document management is a routine but legally significant task. Employment orders, labor contracts, personal files, certificates — each document must be properly formatted and timely signed. An AI system takes on document preparation and control.
Automated Processes
Onboarding: Generation of a document package upon hiring (employment contract, hiring order, PVTR acknowledgment, confidentiality agreement). All documents are created from hiring request data through templates.
HR Changes: Orders for transfers, salary changes, leave. AI generates a draft order, manager signs it.
Termination: Notification, termination order, settlement statement, work record — coordination of the entire package.
Regular Documents: Vacation schedules, work time logs, HR reports to Rosstat/PFR/SFR.
Generation of HR Documents
def generate_employment_contract(candidate: Candidate, position: Position) -> Document:
template = template_library.get("employment_contract", version="2024_Q1")
data = {
"employee_name": candidate.full_name,
"employee_passport": candidate.passport_data,
"position": position.title,
"department": position.department,
"salary": position.salary,
"start_date": position.start_date,
# ... other fields
}
# Deterministic generation (not LLM)
doc = template.render(data)
# LLM for non-standard conditions (if needed)
if position.special_conditions:
additional_clauses = llm.generate_employment_clauses(position.special_conditions)
doc.add_section("Additional Conditions", additional_clauses)
return doc
Deadline Control and Compliance
HR compliance involves strict deadlines under Russian Labor Code:
- PVTR acknowledgment before labor contract signature
- Hiring order — within 3 days
- Termination notification for layoffs — 2 months prior
- Settlement payment deadlines — on termination day
The system monitors all deadlines and automatically creates tasks for HR specialists. Red flag when critical deadline approaches.
Integration with 1C:ZUP
Bidirectional integration: data from requests → documents in system → entries in 1C. Eliminates manual data duplication and related errors.
Metrics: Time to prepare document package for new employee (from 2-3 hours to 15-20 minutes), % of documents signed within established deadlines.