Agile Change Management: Navigating Uncertainty and Complexity

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Tarun Madan Kanade
Cyril Crasto
Snehal Patel
Hemant Wanjare
Tushar Savale
Ashima Varghese

Abstract

In an era marked by rapid technological evolution and socio-economic volatility, the ability of governments to adapt quickly and efficiently has become more critical than ever. This paper introduces a pilot experiment designed to implement Agile Change Management principles within the Indian government framework to foster adaptive governance.
Inspired by real-world case studies from organizations like Spotify, Atlassian, Infosys, and Tata Consultancy Services, the framework emphasizes iterative progress, cross-functional collaboration, digital tool integration, and a feedback-driven approach. The first phase involves evaluating the current state and identifying areas ready for Agile transformation. The second phase focuses on leadership training, cultural alignment, and equipping teams with Agile tools and mindsets. The third phase includes pilot implementations in selected departments using Agile sprints and retrospectives to refine workflows. Finally, the fourth phase monitors outcomes, measures impact, and iteratively improves practices based on performance metrics and stakeholder feedback.
This pilot aims to produce scalable insights on how Agile can enhance public administration, especially in improving policy delivery, reducing turnaround time, and fostering interdepartmental synergy. The initiative also sets the foundation for further research into ROI, sector-specific challenges, and post-adoption performance. Ultimately, this Agile model envisions a governance paradigm that is proactive, resilient, and responsive to citizens’ evolving needs, positioning India at the forefront of public sector innovation.

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Original Research Articles

How to Cite

Kanade, T. M., Crasto, C., Patel, S., Wanjare, H., Savale, T., & Varghese, A. . (2025). Agile Change Management: Navigating Uncertainty and Complexity. International Insurance Law Review, 33(S4), 127-142. https://doi.org/10.64526/iilr.33.S4.8

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