Purpose : The study examined when mobile-accessible artificial intelligence chatbots created public value in citizen grievance redressal and public-service delivery, with particular attention to interaction quality, inclusion, trust, institutional integration, and human escalation.

Design/Methodology/Approach : A systematic literature review of studies published between 2015 and 2026 was conducted using Scopus and Web of Science. Study selection followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework. Thirteen eligible studies were retained after Critical Appraisal Skills Programme-aligned quality assessment and were synthesized through open, axial, and selective coding.

Findings : Three interconnected themes emerged: (a) Digital access creates public value only when interaction produces usable service outcomes; (b) Inclusive use depends on interaction quality, flexibility, and citizen trust; and (c) Responsible automation requires institutional capacity, accountability, and human escalation. Together, the findings established an access–interaction–resolution continuum.

Practical Implications : Public managers were advised to evaluate chatbots through service progression, successful routing, interactional flexibility, and escalation quality rather than response speed alone, while connecting conversational interfaces with language infrastructure and accountable administrative processes.

Originality/Value : The study contributed an integrated access–interaction–resolution perspective that connected chatbot accessibility, interactional inclusion, and administrative responsibility within one public-service process.

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