By end of the session, participants will be able to:

• Understand the core legal and ethical requirements for managing workers’ accommodation.
• Apply effective management practices for day-to-day facility operations and compliance.
• Identify opportunities to leverage accessible data and simple technological tools to enhance efficiency.
• Recognize the potential of AI and data analytics as a starting point for future-proofing management practices.
• Develop a basic action plan for introducing low-tech, data-driven improvements.

Day 1: Foundational Management and Compliance

Morning Session: Core Principles of Workers’ Accommodation

Module 1: The Regulatory Landscape

• Overview of local and international laws governing workers’ accommodation.
• Understanding compliance requirements for living conditions, sanitation, and safety.
• Ethical considerations and social responsibility in worker welfare.

Module 2: Foundational Management Practices

• Key components of a well-run facility: occupancy management, contracts, and resident well-being.
• Standard operating procedures for day-to-day operations.
• Best practices for health and safety inspections.

Afternoon Session: Effective Grievance Handling and Data Fundamentals

Module 3: Managing Complaints and Feedback

• Establishing a clear and accessible grievance handling process.
• Techniques for effective communication and dispute resolution with occupants.
• Best practices for documenting and tracking resident issues.

Module 4: Introduction to Data for Management

• The importance of data in decision-making and compliance.
• What data should you be collecting? (e.g., inspection logs, maintenance requests, occupancy rates).
• Hands-on exercise: Creating a simple tracking system using spreadsheets.

Day 2: Exploring AI and Practical Applications

Morning Session: Simple Automation and AI Tools

Module 5: Leveraging Existing Technology

• Using automated forms and surveys for data collection (e.g., Google Forms, SurveyMonkey).
• Simple data visualization and dashboard creation using spreadsheets.
• Introduction to AI-powered features in common office software.

Module 6: A Glimpse into AI for Efficiency

• How basic data analysis can inform better maintenance scheduling.
• The concept of using chatbots for frequently asked questions.
• Case studies on how companies are starting with simple AI applications.

Afternoon Session: Practical Application and The Road Ahead

Module 7: Hands-on Workshop: Building an Action Plan

• Participants will work in groups to identify a specific pain point in their facility.
• They will then create a plan to solve it using data collection and a simple technological tool.
• Presentation of group plans and peer feedback.

Module 8: The Future: Moving Forward with AI

• A discussion on the next steps for a more advanced AI strategy.
• Q&A on the benefits and challenges of future AI integration.
• Program wrap-up and final takeaways.