This topic surveys enterprise chatbot and virtual assistant platforms used for customer support, CX automation, personal AI colleagues and AI meeting assistants as organizations prepare for 2026. Advances in large language models, multimodal APIs and build-or-buy ecosystems have shifted priorities from proof-of-concept pilots to scalable, governed deployments that integrate with knowledge bases, business systems and workflows. Key platform types include Customer Service Chatbots (no-code builders and RAG-enabled responders), CX Automation Platforms (multi-channel orchestration and action execution), Personal AI Assistants (embedded productivity assistants across apps) and AI Meeting Assistants (real-time capture, summarization and follow-up). Representative tools reflect these categories: IBM watsonx Assistant (enterprise virtual agents and multi-agent orchestrations, no-code and developer paths); Microsoft 365 Copilot (productivity assistants integrated across Office apps); Kore.ai and Yellow.ai (enterprise-grade orchestration, governance, observability and omnichannel CX/EX automation); Duckie and Anakin.ai (no-code support agents and prebuilt AI apps for document search, automation and batch tasks); Harvey (domain-specific assistant and knowledge/vault features for legal and professional services); and foundation-model providers like Google Gemini and Anthropic’s Claude family powering conversational and developer assistants. Shield AI is included as an example of autonomy and mission-critical agent software in regulated environments. Enterprises selecting platforms should weigh integration, data governance, observability, actionability (ability to take transactions), domain tuning and deployment options (cloud vs. on-prem). The market in late 2025 favors multi-agent orchestration, tighter enterprise security controls, and domain-specific stacks that combine retrieval-augmented generation, vector stores and workflow automation to deliver reliable digital colleagues and support agents at scale.