DEI Sourcing, Internal Mobility and Talent Matching

From use case: DEI Sourcing, Internal Mobility and Talent Matching

A global energy management and automation enterprise with more than 155,000 employees launched an AI-powered internal talent marketplace in early 2020 after internal surveys revealed that nearly 50% of exiting employees cited a lack of internal growth opportunities as their primary reason for leaving. The platform uses AI to match employee skill profiles with open roles, short-term projects and mentoring opportunities across more than 100 countries. By 2023, the platform had achieved 80% employee adoption, facilitated approximately 4,000 full-time job matches, 8,000 project matches and 14,000 mentor pairings. As of 2025, adoption reached 89%, with more than 13,400 gig matches and 27,500 mentor matches completed. The organization reports having unlocked more than 360,000 hours and generated savings exceeding $15 million in productivity gains and reduced recruitment costs.

A global consumer goods company processing approximately 250,000 job applications annually partnered with AI assessment providers beginning in 2016 to deploy gamified neuroscience-based assessments and AI-analyzed video interviews. The system anonymized applications and used machine learning to evaluate cognitive and behavioral traits rather than resume keywords. The initiative reduced time-to-hire by 90%, from four months to approximately four weeks, saved more than 50,000 hours in candidate interview time over 18 months and delivered over 1 million pounds in annual cost savings. The company also reported a 16% increase in diversity among new hires, including neurodiverse candidates. A large semiconductor company using an AI-based skills platform for hiring reported that blinding name, gender and academic degree from resumes more than tripled the candidate pipeline, according to a 2024 Josh Bersin Company analysis.