This topic surveys the landscape of AI healthcare copilots and clinical decision tools in 2026: systems that augment clinicians, care teams, and patient-facing workflows with conversational assistants, real‑time guidance, documentation automation, and patient coaching. Demand for tools that reduce clinician documentation burden, speed information synthesis, and support care decisions has driven consolidation of capabilities into enterprise platforms and marketplaces, while regulatory, privacy, and explainability requirements shape adoption. Key categories include AI tool marketplaces (model and app catalogs that accelerate integration), clinical documentation tools (assistants that summarize charts, draft notes, and extract coded data), and AI health coaching (automated longitudinal support for behavior change and chronic disease management). Representative offerings include Anthropic’s Claude family for conversational and developer use cases; Microsoft 365 Copilot for embedding AI into productivity workflows (Word, Excel, Teams, Outlook) and clinical documentation workflows; Observe.AI for conversation intelligence, real‑time agent assist, and automated QA in contact‑center and patient outreach settings; Yellow.ai for omnichannel CX/EX automation; Relevance AI as a no‑code/low‑code platform to build and scale autonomous agents and workflows; Xilos for enterprise agentic AI infrastructure with increased visibility and control; and Crescendo.ai’s hybrid model combining agentic AI with human experts for managed outcomes. Trends to watch: growth of low‑code/no‑code deployment paths, multi‑agent orchestration for end‑to‑end care processes, emphasis on observability and governance, and hybrid human‑in‑the‑loop models to manage risk. Evaluations should prioritize safety, interoperability with EHRs, and measurable clinical and operational outcomes rather than feature lists.