AI copilots for finance teams are specialized conversational agents and orchestration platforms that help automate reporting, forecasting, reconciliations, transaction analysis, and workflow coordination. This topic covers vendor-built finance copilots (Microsoft Finance Agent, Google Duet, Anthropic-powered assistants) and the platforms used to build, deploy, and govern them—AI agent marketplaces, automation platforms, and personal assistants integrated into day-to-day finance tools. Relevance and timing: by mid-2026 finance organizations are moving beyond proof-of-concept pilots into production deployments, driven by pressure to reduce close-cycle times, improve auditability, and scale analyst productivity. That shift increases emphasis on data governance, model choice, observability, secure integrations with ERPs and data warehouses, and vendor interoperability. Key tools and roles: Microsoft Finance Agent represents vendor-integrated copilots that tie into Microsoft 365 and Dynamics for spreadsheet, report, and workflow automation; Google Duet leverages Google’s Gemini models via Google Cloud for conversational analytics and multimodal queries; Anthropic’s assistant offerings focus on safety, controllability, and enterprise APIs. Platform- and developer-focused options—Kore.ai (no-code to pro-code multi-agent orchestration with governance and observability) and LangChain (open-source framework for building, testing, and deploying LLM agents)—enable custom finance workflows and agent marketplaces for reusable skills. Productivity and engineering tools (Notion for knowledge+databases, GitHub Copilot, Replit, JetBrains AI Assistant) support the surrounding developer, reporting, and documentation lifecycle, while lightweight search/answer tools (GPTGO) supplement exploratory queries. Practical considerations for finance leaders include integration with ERP/GL systems, data lineage and RAG strategies, audit trails and explainability, vendor lock-in risk, and the balance between prebuilt copilots and bespoke agent workflows built on platforms like Kore.ai and LangChain.