This topic surveys AI-powered finance assistants that automate bookkeeping, support accounting close workflows, and help consumers manage money. It covers enterprise agents such as Microsoft Finance Agent and Kore.ai-based deployments, productivity and conversational offerings like ChatGPT Finances, and accounting-focused platforms such as FloQast and Bookeeping.ai (Paula). Relevance in 2026: finance teams and consumers are adopting AI to reduce repetitive work, accelerate month-end close, and deliver on-demand financial insights. Key trends include multi‑agent orchestration and governance (Kore.ai), hybrid human+AI delivery models for complex implementations (FirstMate), integration with enterprise ML/GenAI stacks (Vertex AI), and embedding assistants into work management systems (Asana). These trends make AI finance assistants timely for improving accuracy, auditability, and team productivity while raising new priorities around observability, controls, and data integration. Tool roles and categories: Personal AI Assistants (ChatGPT Finances and Microsoft Finance Agent) provide conversational querying, budgeting help, and quick reports for both consumers and internal teams. Bookkeeping Automation Tools (Bookeeping.ai / Paula, FloQast) focus on automating routine accounting tasks, reconciliations, and close workflows. Enterprise platforms (Kore.ai, Vertex AI) support building, deploying, and governing multi-agent or custom model solutions. Service-led approaches (FirstMate) combine senior human architects with AI to accelerate and de-risk implementations; productivity platforms (Asana) surface financial tasks and automations in team workflows. Understanding these distinctions helps teams choose solutions that balance automation, compliance, and human oversight depending on scale, regulatory needs, and integration requirements.