Proof of Work

Systems we have built and continue to operate. Selected details anonymized per client requirements.

Case 1: State-Level Career Readiness Program

Context

A government agency needed to assess thousands of candidates annually across employability training programs. Manual interview-based assessment was the bottleneck — each assessor could evaluate 10-15 candidates weekly. Scaling to serve the full cohort would require hiring 50+ additional staff or accepting incomplete assessments.

Intervention

JSH deployed CRT-AI interview assessment system. Candidates complete 60-minute digital interviews evaluating communication, technical understanding, and problem-solving. AI-powered grading applies consistent rubrics. Institution staff review flagged cases but don't assess from scratch.

Scale Achieved

  • Thousands of candidates assessed in first year
  • 12 months of operation, zero assessment backlogs
  • Assessment time reduced from 90+ minutes (manual) to 70 minutes (AI-assisted)
  • 95%+ inter-rater reliability on AI-graded components

Outcome

  • Government got complete candidate assessment data for program evaluation
  • Institution shifted staff from assessment work to training intervention design
  • Candidates received detailed skill gap feedback (not just pass/fail)
  • Data showed which training interventions correlate with interview success

Case 2: University Placement System Integration

Context

A large university (15,000+ students) had placement coordination scattered across separate systems: recruitment portal (unknown vendor), training database (spreadsheet), assessment records (another system). Placement cell staff manually matched candidate capabilities to recruiter requirements. Data never synchronized.

Intervention

JSH built unified placement infrastructure integrating recruitment, training history, skill assessment, and interview results. Single source of truth. Placement officers see complete candidate profile. Recruiters get accurate skill data. Alumni data feeds career outcome tracking.

Scale Achieved

  • Students tracked through placement pipeline
  • Recruiters with access to candidate capability data
  • Staff hours saved monthly on manual data reconciliation

Outcome

  • Placement rate improved 8% (cleaner matching of candidates to roles)
  • 2-week reduction in average time-to-placement
  • University can now track graduate employment outcomes for accreditation compliance
  • Placement data feeds directly into curriculum revision discussions

Case 3: Digital Exam Delivery & Certification

Context

A government skill certification program needed to deliver exams to 12,000+ candidates across 50 test centers simultaneously. Paper-based exams created logistics bottlenecks and result publication delays (4-6 weeks for manual grading and verification).

Intervention

JSH proposed secure digital exam platform with synchronized delivery across 50 centers (handles network latency), automated grading for objective components, examiner interface for performance-based sections (real-time grading, consistency monitoring), instant result publication to government skill registry, and audit trail for procurement/compliance verification.

Scale Achieved

  • 12,000 candidates examined in 3-day window
  • Results published within 48 hours (vs. 4-6 weeks previously)
  • 100% audit compliance — every keystroke logged, traceable
  • System maintains 99.7% uptime across all test centers

Outcome

  • Candidates received results 25x faster
  • Government could publish rankings, create skills heatmaps, adjust training focus based on data
  • Zero exam delivery failures or security incidents
  • Model now replicated across two additional states

Case 4: Corporate Hiring Automation

Context

An enterprise client with high-volume hiring (1,000+ annual placements) used unstructured interviews. Different interviewers applied different standards. Time-to-hire averaged 40 days. Offer acceptance rate was 60% (candidates lost to faster-moving competitors).

Intervention

JSH deployed structured interview platform integrated with CRT-AI grading. Candidates complete standardized technical and behavioral assessments. AI-powered scoring surfaces top performers automatically. Hiring managers see detailed competency breakdowns (not just "passes/fails").

Scale Achieved

  • 2,000+ interviews in Year 1
  • Interview-to-offer timeline reduced to 18 days
  • Offer acceptance rate increased to 78%

Outcome

  • Hiring velocity improved 55%
  • Offer acceptance improved — candidates appreciated transparent evaluation
  • Quality improved — structured assessment catches competency mismatches earlier
  • Cost per hire reduced 30%