Beyond Deadlines at ClearTax: Fixing Service and Operational Gaps

Digital tax platforms reduce filing friction but introduce fragility during peak seasons. At ClearTax, an internship highlighted how technical downtimes, pre-payment requirements before submission, and understaffing during surge seasons increase client dissatisfaction and rework. The managerial challenge involves building resilience through scalable infrastructure, transparent client communications, and a comprehensive control stack that stabilizes turnaround times while protecting trust. Grounded in guidance from CBDT, GSTN, and ICAI, the case proposes a staged redesign incorporating partial-payment milestones, queue management, seasonal staffing, and AI-assisted triage. These strategies aim to preserve confidentiality while improving throughput and client experience. The study recognizes implementation constraints and emphasizes the need for triangulation with local contexts to validate findings and assess fidelity

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17810386
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Deadlines at ClearTax: Fixing Service and Operational Gaps

Zenodo (CERN European Organization for Nuclear Research)
E-Government and Public Services
article

Beyond Deadlines at ClearTax: Fixing Service and Operational Gaps

article en

Abstract

Digital tax platforms reduce filing friction but introduce fragility during peak seasons. At ClearTax, an internship highlighted how technical downtimes, pre-payment requirements before submission, and understaffing during surge seasons increase client dissatisfaction and rework. The managerial challenge involves building resilience through scalable infrastructure, transparent client communications, and a comprehensive control stack that stabilizes turnaround times while protecting trust. Grounded in guidance from CBDT, GSTN, and ICAI, the case proposes a staged redesign incorporating partial-payment milestones, queue management, seasonal staffing, and AI-assisted triage. These strategies aim to preserve confidentiality while improving throughput and client experience. The study recognizes implementation constraints and emphasizes the need for triangulation with local contexts to validate findings and assess fidelity

Zenodo (CERN European Organization for Nuclear Research)
Jain University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
E-Government and Public Services
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