Reimagine HR with Intelligent Automation and AI

Jun 25, 2024

Reimagine HR with Intelligent Automation and AI

Introduction

  • Speakers:
    • Leon: Solutions Engineering Team at Automation Anywhere (17 years of experience).
    • Isabelle Ralia: Senior Director of People Experience, Amia (30 years of HR experience).

Key Points

Rise in AI and Changing Work Environment

  • Context: Increase in AI is shifting work expectations and demands from HR.
  • Digital Assistants: Personal and workplace experiences using digital assistance are aligned.
  • Economic Impact: Discussion on emerging roles (97 million new roles from human-technology partnership, World Economic Forum).
  • Skill Shift: 90% of current skills won’t be required in the next 3-5 years (Josh Bon).
  • Adaptability: Focus on skills that complement new technologies.
  • Recruitment Functions: Still highly tactical, suggesting a significant opportunity for automation.
  • HR's Role: Becoming strategic competitive advantage through focus on future-proof skills and reskilling.

Importance of Automation and AI in HR Metrics

  • Key Performance Indicators: Cost per employee, time to recruit, turnover and attrition rates, employee net promoter scores.
  • Goal: Not just to resolve pain but transform metrics to drive competitive advantage.

Case Studies

  • Kent Community Health NHS Trust: Transformation Using Automation

    • Recruitment time reduced by over 3 weeks.
    • Pre-employment check time reduced from 30 to 15 days.
    • Top ranking in NHS for clinical manager shortlisting time.
    • Increased data quality, significant cost saving (£460k), and productivity hours released (30,000 hours).
  • Dell EMC: Early Adopter of HR Automation

    • Automated recruitment and onboarding, deployed 30 automations in a year, 85% efficiency gain.
    • Recruiters freed for qualitative engagement, significant cultural shift towards automation first.

Insights on Future HR Automation

AI-Powered Digital Assistants

  • Nadia’s Example: AI assistant for promotions, salary evaluations, checking bonus schemes, booking holidays, etc.
  • Personal Productivity: Instant help from AI digital assistants aiding in routine tasks.

Beyond Recruitment: General AI Applications

  • McKenzie’s Study: Up to 70% of today's work can be automated.
  • Human-Bot Partnership: Higher value in combined human and AI efforts.
  • Bias and Fairness in AI: AI guided to minimize bias; data-driven decisions over human bias.
  • Talent Assessment Tool (Tara): Automates recruitment shortlisting, unbiased and efficient.
  • HR AI Agent (Penelope): Provides comprehensive data insights helping HR make better decisions.
    • Examples: Performance reviews, payroll automation, deeper workforce understanding.

Real-world Implementations and Benefits

  • Automation Co-Pilot: Embedded in work applications to streamline processes without changing work habits.
  • Adaptive AI Performance: Assesses and analyzes candidates, provides recruitment feedback, and aids in HR management.
  • Career Development (Coco): Uses employee feedback to plan retention and development.

Conclusion

  • Future Vision: Combining automation and AI across HR functions for enhanced productivity, efficiency, and strategic alignment.
  • Workshops & Collaboration: Value assessments, technical validations, and business cases for successful AI and automation adoption.
  • HR Think Tank: Upcoming forum for HR leaders to discuss AI-driven transformations.

Final Remarks

  • Continued Engagement: Invitation to participate in workshops and think tanks.
  • Contact Information: Follow up with account executives or customer success managers.