How an AI-Led Mass Hiring System Scaled a Global Enterprise’s .NET Full stack Teams Without Compromising Quality
A global enterprise technology organization with ~18,000 employees, delivering large-scale digital transformation programs across multiple business units and geographies. The company runs dozens of parallel projects, requiring consistent engineering quality across distributed teams.
Industry
Solution Area
Challenge
- High-volume hiring created risk of uneven engineering quality
- Traditional screening slowed delivery across multiple projects
- Maintaining consistency across teams became increasingly difficult
Outcomes
- 3.6× faster .NET full stack hiring at scale
- 48% reduction in time-to-hire across mass hiring waves
- 91% quality consistency score across projects
- 34% reduction in post-hire performance variance
- 3.9× increase in delivery leader confidence in hiring outcomes
We scaled fast without lowering standards, something we hadn’t managed before. Workforce Studio made that possible.
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