Agent M

Agent M

Agent M is an AI-powered master agent platform for building, training, and deploying intelligent virtual assistants that automate complex conversations.

Screenshots

Agent M screenshot

About Agent M

Agent M is a generative AI platform designed to streamline the creation and deployment of intelligent virtual assistants capable of handling intricate, multi-turn conversations. Built by Floatbot, it connects seamlessly to your data sources and APIs, enabling AI agents to access real-time information and deliver contextual solutions without manual intervention. The platform combines multiple conversational capabilities into a unified system, including omnichannel chatbot deployment, multilingual voice AI, live chat with co-browsing features, and advanced voice recognition for security-sensitive applications. This integration eliminates the need to manage separate tools, reducing complexity and implementation time across customer service, support, and engagement channels. Agent M leverages cognitive search and self-learning capabilities, allowing your virtual assistants to continuously improve by extracting insights from unstructured data. When human expertise is required, the AI Agent Assist feature enables seamless handoffs, ensuring customer issues are resolved efficiently while maintaining context throughout the interaction. Ideal for banking, insurance, BPO, and other service-heavy industries, Agent M helps organizations reduce operational costs, accelerate response times, and enhance customer satisfaction. The platform offers a free trial, allowing teams to evaluate its capabilities before committing to full deployment.

Pros

👍 Omnichannel support with voice, chat, and co-browsing integration 👍 Self-learning from unstructured data improves response accuracy over time 👍 Multilingual voice AI supports global customer bases 👍 Seamless API and data connectivity for real-time information access 👍 Free trial available to test features before purchase

Cons

👎 Complex setup may require technical expertise or implementation support 👎 Performance depends on quality and structure of connected data sources 👎 Pricing details not publicly available; custom quotes required 👎 Limited to conversational automation; not suitable for purely transactional task