This topic examines the landscape of mobile AI assistants and Android-compatible alternatives in the wake of recent EU rulings that affect app distribution, interoperability and regulatory duties for AI services. Demand is growing for assistants that run on Android or via open channels, while meeting new requirements for privacy, data portability and enterprise governance. Choices fall into several categories: platform-integrated assistants (Microsoft 365 Copilot delivering AI across Office apps), multimodal developer models and APIs (Google Gemini, Anthropic’s Claude family) that power custom Android clients, consumer-facing answer engines (Perplexity AI, GPTGO) that prioritize web-grounded responses, and enterprise agent platforms (Yellow.ai, Kore.ai) built for orchestrating multi-agent workflows with governance and observability. Notion represents workspace-centric assistants that blend notes, databases and automation for personal and team productivity. For Android users and businesses, relevant evaluation criteria include on-device vs cloud inference, data residency and portability, app-store and sideloading compatibility, and built-in compliance features such as audit logs and model explainability. Enterprise platforms (Yellow.ai, Kore.ai) emphasize governance and observability; developer-focused models (Gemini, Claude) enable bespoke mobile assistants; and search/answer engines (Perplexity, GPTGO) offer lightweight, source-cited experiences suitable for mobile use. Choosing an Android-compatible assistant now involves balancing usability with regulatory compliance: prioritize tools that provide clear data controls, interoperability options, and enterprise-grade governance where required. This topic helps decision-makers compare functional categories and tools in a regulatory context, highlighting practical trade-offs between convenience, control and compliance.