• Category:
    Information Technology
  • Client:
    Egens Lab
  • Location:
    7 Lake Street, London
  • Industry:
    Software
  • Stack:
    MERN, AWS, Python

The Challenge

A global IT consulting firm struggled with low workforce productivity and slow skill adaptation due to outdated training methods. Employees found traditional corporate training programs ineffective, leading to skill gaps, project delays, and inconsistent performance. The lack of personalized learning paths meant employees couldn’t upskill efficiently, impacting overall business growth and client satisfaction. The company needed a scalable, AI-driven training solution to enhance employee engagement, accelerate learning curves, and ensure a future-ready workforce.

Challenge Or Problem

The firm faced high training costs, a one-size-fits-all approach, and low employee engagement in their learning programs. Project teams lacked updated technical skills, causing delays and reduced efficiency. Additionally, manual tracking of learning progress was ineffective, making it difficult to measure impact and align employee development with business goals.

What Did Encred Do

Encred designed a customized AI-powered training platform to transform the firm’s learning ecosystem. The key implementations included:

  • AI-Powered Learning Paths: Personalized training programs based on individual skill gaps.
  • Gamified Learning: Interactive modules to boost engagement and retention.
  • Real-Time Progress Analytics: AI-driven insights to track and optimize learning.
  • Virtual Labs & Simulations: Hands-on practice for real-world application.

The Results

After Encred’s intervention, the firm saw a 60% increase in employee engagement and a 50% faster skill adoption rate. Gamified learning improved knowledge retention, while AI-driven analytics provided real-time progress tracking. Employees developed relevant, future-ready skills, reducing project delays and boosting overall productivity across teams.

  • 60% higher employee engagement
  • 50% faster skill adoption
  • Reduced training costs
  • Improved knowledge retention
  • Enhanced project delivery timelines
  • Scalable, AI-driven learning system
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