Exploring Multi-Agent AI for Workplace Wellbeing and DEI: Intelligent Automation for Inclusive and Healthy Workplaces

This presentation, developed by Ashkan Hayati (University of South Australia, May 2025), explores how Multi-Agent AI can transform workplace wellbeing and DEI (Diversity, Equity, and Inclusion) initiatives through intelligent automation.

The proposed AI-powered HWC framework (Healthy Workplace Check) uses five specialized agents to process complex survey and feedback data, from cleaning and validation to DEI gap detection, sentiment analysis, and automated report generation. By replacing manual interpretation with autonomous reasoning systems, the model delivers real-time, transparent, and actionable insights that empower leaders to foster inclusion, equity, and mental health across organizations.

With dashboards, emotional analysis, and automated recommendations, this system redefines how organizations assess and enhance psychological safety and diversity culture. It positions AI not just as a tool, but as a collaborative partner for ethical and human-centered decision-making in the modern workplace.

1. Exploring Multi-Agent AI for Workplace Wellbeing & DEI Ashkan Hayati May 2025 Transforming HWC/DEI assessments with intelligent automation

2. Understanding Multi-Agent AI AI Agents : Autonomous systems that perceive, reason, and act to achieve goals Multi-Agent AI : Specialized agents collaborate for complex tasks, like analyzing HWC data Example: One agent mines sentiment while another suggests DEI interventions

3. Why AI in Workplace Wellbeing & DEI?

4. Multi-Agent AI vs. Traditional Analytics

5. Benefits of Multi-Agent AI Efficiency : Autonomous agents process data instantly Flexibility : Modular design adapts to new needs Trust : Transparent, auditable outputs empower decisions

6. Unlocking HWC’s Potential Challenge : Manual analysis is time-consuming AI Solution : Automated insights Challenge : Open-text responses underutilized AI Solution : Sentiment mining Challenge : Static reports AI Solution : Real-time dashboards

7. AI-Powered HWC Vision Transform HWC into a dynamic, AI-driven decision engine Real-time feedback from survey data Actionable insights via specialized agents Transparent, auditable workflow

8. How It Works Seamless flow from HWC data to actionable outputs Agents: Data cleaning, DEI analysis, sentiment mining, recommendations, reporting Output: Decision-ready insights in seconds

9. Core Agents Agent 1: Data Interpreter : Cleans and validates → Structured data Agent 2: DEI Gap Detector : Identifies risks → Equity alerts Agent 3: Sentiment Analysis : Mines open-text → Emotional insights

10. Output Agents Agent 4: Recommendation Generator : Matches risks to interventions → Prioritized actions Agent 5: Report Composer : Creates PDF/HTML reports → Heatmaps, charts and alerts

11. Sample Outputs Employee Feedback: NLP & Sentiment Agent: Recommendation Agent:

12. Sample Outputs (2) Form

13. Sample Outputs (3) Candidates’ CVs DEI + AI Powered Recruiting System

14. Dashboard

15. Cooperation Ideas & Research Directions Share ideas for use cases, or integrations AI Development and Integrations Co-publication, webinars or workshops opportunities Research to deepen DEI or wellbeing insights

16. Thank you