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HR & People Ops Experiment· Fortune 500 Technology Company

Onboarding Automation Experiment

Hypothesis

Unified AI workflows can accelerate new hire readiness and significantly reduce HR support ticket volume while improving employee satisfaction scores.

75%

Faster Onboarding

14 days → 3.5 days

50%

Fewer HR Tickets

2,400 → 1,200/mo

92

Employee NPS

Up from 71 baseline

8

Weeks to Deploy

Vs 6-month estimate

Fragmented HR Systems Creating Friction

A Fortune 500 technology company with 15,000 employees was facing a crisis in employee experience. Their HR technology stack had grown organically over a decade, resulting in 8 different systems that didn't communicate with each other.

New hire onboarding was particularly painful. Each new employee had to create accounts in multiple systems, fill out redundant paperwork, and navigate a confusing maze of processes. Average time to full productivity was 14 days.

The HR team was overwhelmed with basic inquiries. Analysis showed 60% of HR tickets were questions that could be answered through self-service if employees could find the information they needed.

Controlled Deployment Across Business Units

We designed a controlled experiment deploying Phoenix AI HRIS across 3 business units (approximately 4,000 employees) while maintaining existing systems for a control group of similar size.

The experiment ran for 90 days, with weekly measurement of key metrics. We tracked onboarding completion time, HR ticket volume by category, and employee satisfaction through pulse surveys.

To ensure validity, we selected business units with similar historical performance and controlled for seasonal hiring variations by running across a full quarter.

Measured Variables

Time from signed offer to full system access
HR ticket volume by category
Employee satisfaction (NPS)
Self-service adoption rate
First-year attrition rate
HR team capacity utilization

Unified Employee Experience Platform

We deployed Phoenix AI HRIS as a unified intelligence layer connecting all 8 existing HR systems. The platform created a single employee experience while preserving existing system investments.

The AI-powered onboarding orchestrator automatically triggered account creation, equipment requests, training enrollment, and team introductions based on role, department, and location—all from a single new hire record.

An AI assistant was trained on the company's HR policies, benefits documentation, and common procedures, providing instant answers to employee questions through Slack and the employee portal.

Unified employee portal with single sign-on
AI-orchestrated onboarding workflows
Intelligent HR assistant (Slack + portal)
Automated IT provisioning integration
Self-service benefits enrollment
Real-time analytics dashboard

Transformation Beyond the Numbers

Onboarding time dropped from 14 days to 3.5 days—a 75% reduction. New hires consistently reported feeling productive and connected faster than ever before.

HR ticket volume decreased by 50%, from 2,400 to 1,200 per month. The AI assistant handled 70% of incoming questions autonomously, with a 95% satisfaction rating from employees.

Employee NPS jumped from 71 to 92. First-year attrition in the treatment group decreased by 30% compared to the control group, suggesting a meaningful impact on retention.

Onboarding time reduced from 14 days to 3.5 days (75% faster)
HR tickets cut from 2,400 to 1,200 per month (50% reduction)
Employee NPS improved from 71 to 92 (+21 points)
AI assistant handles 70% of queries autonomously
First-year attrition decreased by 30%
HR team reallocated 40% of capacity to strategic initiatives

For the first time in a decade, our HR team is focused on strategy instead of firefighting. New hires tell us they've never experienced onboarding this smooth. The impact on our culture has been transformative.

Sarah Thompson

CHRO, Fortune 500 Technology Company

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