Madhurai Das
Lead Consultant, Agile Coach & Mentor
Hyderābād, India
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Madhurai, is an accomplished Scrum Master and Agile Coach with over half a decade of proven success driving organizational agility for large-scale financial services and investment banking clients in Canada and the US. This includes leading teams in banking, credit cards, lending, and capital markets, achieving measurable improvements in delivery speed, quality, and cross-team collaboration.
Having coached global, cross-functional teams across multiple time zones, Madhurai blends human-centered leadership with the transformative possibilities of AI-enhanced agility. Drawing on deep expertise in both Agile and AI tools, they bridge traditional Agile values with data-driven insights, automation, and Generative AI, ensuring teams are high-performing and future-ready.
A seasoned speaker at regional and international conferences, leadership forums, and professional communities, Madhurai is known for translating complex concepts into actionable strategies that inspire leaders and practitioners alike. They are committed to shaping a future of work where technology amplifies human potential rather than replacing it.
In every engagement, Madhurai combines visionary thinking with practical execution, enabling organizations not only to adapt to the future, but to help define it.
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Area of Expertise
Topics
Data-Driven Agility: Harnessing AI Analytics to Build High-Performing Teams
About the Topic:
This session focuses on how AI-powered analytics can help Agile leaders make informed decisions, uncover hidden performance patterns, and boost team efficiency. Learn how to turn raw data into strategic insights that foster continuous improvement and high performance.
Objectives:
1. Explain the role of AI analytics in tracking Agile metrics and KPIs.
2. Show how leaders can use data to identify improvement areas and remove delivery bottlenecks.
3. Address challenges such as data bias, accuracy, and ethical considerations.
Key Takeaways:
1. Frameworks for implementing AI analytics in Agile environments.
2. Examples of AI dashboards and predictive analytics for teams.
3. Best practices for ethical and transparent use of AI insights.
Target Audience:
Agile Leaders, Scrum Masters, Data Analysts in Agile teams, PMO professionals, and executives responsible for delivery performance.
AI-Augmented Scrum: Leveraging Generative AI to Drive Sprint Outcomes
About the Topic:
This session explores how Scrum Masters and Agile teams can integrate Generative AI tools to improve sprint planning, backlog refinement, and daily collaboration. By blending AI capabilities with human decision-making, teams can accelerate delivery while maintaining quality and adaptability.
Objectives:
1. Showcase practical use cases of Generative AI in core Scrum events.
2. Demonstrate how AI can automate repetitive tasks while enhancing creativity and problem-solving.
3. Highlight methods to maintain transparency, trust, and Agile values in AI-assisted workflows.
Key Takeaways:
1. Real-world AI tools and techniques that streamline Scrum practices.
2. Balancing AI-driven recommendations with human judgment.
3. Metrics for measuring AI’s impact on sprint performance.
Target Audience:
Scrum Masters, Agile Coaches, Product Owners, Project Managers, and team leaders seeking to integrate AI into Agile delivery.
Agile Leadership 2030: Thriving in the AI-Driven Future of Work and Society
About the Topic:
By 2030, AI will not only redefine how organizations operate but also reshape societal norms, career paths, and human collaboration. This session explores how Agile leadership principles can guide organizations and individuals through the complex, AI-driven transformation of both work and society. We’ll look beyond team-level agility to the broader role of leaders in shaping responsible AI adoption, fostering inclusion, and ensuring technology serves humanity.
Objectives:
1. Examine global trends in AI adoption, regulation, and their societal implications.
2. Identify the leadership mindset and skills required for managing hybrid human–AI ecosystems.
3. Discuss ethical, cultural, and social considerations in AI-powered workplaces.
Key Takeaways:
1. A leadership roadmap for thriving in the AI-first economy and society.
2. Strategies for balancing technological advancement with human-centric values.
3. Practical steps for leading adaptable, ethically responsible, and resilient organizations.
Target Audience:
Scrum Masters, Agile Coaches, HR leaders, Change Managers, executives, policymakers, and professionals preparing for AI’s broader societal impact.
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