Vijan.AI
Case StudiesGovernment & Public SectorWorkforce Modernization

Government & Public Sector

Workforce Modernization

3 autonomous agents predict attrition, recruit talent, and automate onboarding. 35% better retention.

3 Autonomous Agents35% Better Retention
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Agentic AI Workflow

3 autonomous agents transform government workforce capabilities

The Challenge

Government agencies couldn't compete for talent and were losing experienced workers to retirement

A federal agency with 12,000 employees faced a retirement wave with 30% of the workforce eligible within 5 years. Average time-to-hire was 98 days, compared to 34 days in the private sector. Voluntary turnover among employees under 35 was 24%.

HR processed 15,000 applications annually with manual screening that took 3 weeks per posting. New employee onboarding required 23 separate system provisioning steps across departments, taking 2 weeks and frequently resulting in day-one access issues. No predictive attrition tools existed.

The agency needed faster hiring, better retention of young talent, and streamlined onboarding.

The Solution

Agents that predict flight risk, recruit efficiently, and onboard seamlessly

Vijan.AI deployed 3 agents. The Attrition Predictor scores flight risk using tenure, compensation competitiveness, engagement survey data, and career progression patterns. When risk is high, it recommends targeted retention interventions. The Recruiter agent posts positions to job boards, screens applications against qualification requirements, and ranks candidates using structured scoring. The Onboarder agent provisions all 23 system accounts, assigns role-specific training, schedules orientation sessions, and assigns mentors automatically.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Training

Training Compliance Agent

Competency-Based Training Management

Identifies skill gaps through competency assessments and assigns mandatory and development training, autonomously tracking compliance with regulatory certifications and routing workforce readiness data to recruitment.

Input

Employee competency assessments and regulatory training requirements

Output

Personalized training plans with compliance tracking and skill development paths

  • Calls learning management system to assess current employee competencies against position requirements and strategic needs
  • Queries competency framework to identify critical skill gaps in areas like cybersecurity, data analytics, and citizen experience
  • Autonomous decision: assign mandatory compliance training, recommend development courses, or approve external certifications
  • Forwards workforce capability analysis to Civil Service Recruiter to inform targeted hiring for persistent skill shortages

Step 2 · Recruitment

Civil Service Recruiter

Strategic Talent Acquisition

Manages end-to-end civil service recruitment including job posting, applicant screening, and interview coordination, autonomously applying merit-based selection and passing qualified candidates to onboarding.

Input

Vacancy announcements with position descriptions and qualification requirements

Output

Qualified candidate selections with merit system documentation

  • Invokes applicant tracking system to post openings, collect applications, and rank candidates by qualification scoring
  • Calls assessment tool to administer skills tests, veterans preference calculations, and structured interview rubrics
  • Autonomous decision: certify eligible candidates, request additional interviews, or reopen recruitment for insufficient applicants
  • Transitions selected candidates to Onboarding Credentialing agent for background checks and employment processing

Step 3 · Onboarding

Onboarding & Credentialing Agent

Automated Onboarding and Credentialing

Orchestrates new employee onboarding including background checks, credential verification, and benefits enrollment, autonomously completing compliance requirements and feeding workforce analytics back for continuous improvement.

Input

Selected candidates with completed applications and hiring approvals

Output

Fully credentialed employees ready for productive service delivery

  • Calls HRIS to create employee records, process I-9 verification, and enroll in payroll and benefits systems
  • Invokes credential verifier to conduct background investigations, license validation, and security clearance processing
  • Autonomous decision: grant access credentials, schedule orientation, or delay start pending clearance completion
  • Feeds time-to-hire and onboarding quality metrics back to Training Compliance for workforce planning optimization

Results

Measurable impact within 90 days of deployment

35%

Better Retention

Under-35 voluntary turnover reduced from 24% to 15.6%. Targeted retention interventions have 62% success rate.

42 days

Time to Hire

Average time-to-hire reduced from 98 to 42 days through automated screening and streamlined processes.

Day-1

Full Access

New employees have all system access, training assignments, and mentor matches on their first day.

$8.4M

Turnover Savings

Reduced recruitment costs and retained institutional knowledge from prevented voluntary departures.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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