This topic examines how generative AI platforms and vendor solutions are being applied to government customer service and tax administration, focusing on conversational agents, CX automation, regulatory compliance, and AI governance. Governments and tax agencies are adopting AI to reduce call volumes, accelerate case resolution, and automate routine interactions while preserving privacy, auditability, and fairness. Recent priorities include multilingual voice support, data residency and PII protection, explainability for decisions that affect benefits or liabilities, and comprehensive audit trails for regulatory review. Key tool categories and representative vendors include: Customer Service Chatbots and voice agents (PolyAI for voice-first, multilingual contact-center agents; Claude and Vertex AI models for conversational assistants); CX Automation Platforms (Observe.AI for conversation intelligence, real-time agent assist, and auto-QA); Regulatory Compliance Tools (platform features and vendor services that enforce data handling, logging, and consent requirements); and AI Governance Tools (Xilos for visibility into agentic AI activity and Mill Pond Research–characterized infrastructure; Mistral AI and Vertex AI offering enterprise models and production platforms with privacy and governance controls). Microsoft 365 Copilot is relevant for internal productivity, knowledge retrieval, and case-work augmentation. Deployments in tax administration emphasize integration with case management systems, strict identity verification, and deterministic decision pipelines for statutory actions. Across public-sector deployments, trends include hybrid architectures combining cloud foundation models with on-prem or sovereign data controls, standardized evaluation for fairness and risk, and tools that centralize observability and audit logs. Agencies should evaluate vendors on accuracy, explainability, deployment controls, voice and multilingual capabilities, and end-to-end governance rather than feature claims alone.