Agent M - Jeetro
Menu Close
Agent M
β˜†β˜†β˜†β˜†β˜†
Chatbots (185)

Agent M

Agent M by Floatbot is a powerful Generative AI conversational platform designed to build, train, and deploy intelligent virtual assistants (IVAs) for businesses.

Last Update: 2026-03-11

Visit Tool

Starting price Free + from $99/yr

Tool Information

Agent M is an advanced AI virtual assistant builder developed by Floatbot that allows organizations to create highly intelligent conversational agents powered by Large Language Models (LLMs). The platform focuses on automating complex interactions by enabling businesses to build AI agents that can understand context, analyze data, and provide accurate responses across multiple communication channels. These intelligent assistants can be used for customer support automation, business process assistance, and enterprise AI chatbot deployment.

One of the key strengths of Agent M is its ability to connect with enterprise data systems and APIs, allowing AI assistants to access information, process requests, and solve customer queries in real time. The platform supports omnichannel communication, enabling businesses to deploy AI chatbots across websites, mobile apps, messaging platforms, and voice-based systems. This ensures that users can interact with AI assistants seamlessly regardless of the platform they use.

Agent M also offers advanced voice AI capabilities, including real-time Automatic Speech Recognition (ASR) and multilingual voice support. These features make it possible to create voice-enabled assistants that understand and respond naturally in multiple languages. In addition, the platform includes live chat with co-browsing tools and AI Agent Assist, allowing human agents to step in when necessary while receiving AI-powered suggestions to resolve customer queries more efficiently.

 

Another powerful component of Agent M is its cognitive search and self-learning functionality, which enables AI systems to learn from structured and unstructured data sources. This allows conversational AI bots to continuously improve responses and provide smarter recommendations over time. With strong voice recognition technology for security and authentication, the platform also supports secure AI-driven interactions. Designed for industries such as banking, insurance, telecom, and BPO, Agent M helps businesses enhance productivity, automate customer engagement, and deliver faster, more intelligent support experiences.

F.A.Q (20)

Agent M automates complex conversations as its primary function.

Absolutely, Agent M is designed to communicate with APIs.

Some of the key features of Agent M are omnichannel chatbots, multi-language support voice AI, live chat with a co-browsing solution, AI Agent Assist, real-time ASR, voice recognition, and a cognitive search capability.

The voice AI of Agent M supports multiple languages.

Yes, Agent M supports human intervention through its AI Agent Assist feature.

Yes, Agent M offers a free trial for users.

Agent M is designed for various industries such as banking, insurance, and BPO among others.

Agent M improves the customer experience by automating complex conversations and connecting to data for solutions to intricate problems.

The 'cognitive search' feature of Agent M allows it to enable self-learning from unstructured data for conversational AI bots.

Yes, Agent M fosters efficient collaboration and significantly boosts productivity by automating complex conversations and offering real-time solutions.

Yes, Agent M can create omnichannel chatbots.

The ASR feature in Agent M is used for voice-based applications.

The Agent Assist feature in Agent M is used when there's a need for human intervention.

Agent M handles voice recognition for security with its advanced voice recognition technology.

Yes, Agent M can deploy Intelligent Virtual Assistants.

Yes, Agent M supports self-learning from unstructured data.

Yes, Agent M can connect with data.

Agent M can resolve intricate problems by leveraging its Generative AI to connect to data, communicate with APIs, and enable self-learning from unstructured data.

Yes, Agent M is perfectly suitable for industries like banking and insurance due to its advanced features that can handle complex conversations, multilingual voice AI, and robust security measures.

Agent M can boost productivity by automating complex conversations, thus freeing up human employees to handle other important tasks.

Pros and Cons

Pros

  • Automates complex conversations
  • Omnichannel chatbots support
  • Real-Time ASR
  • Advanced voice recognition
  • Cognitive Search capabilities
  • Self-learning from unstructured data
  • Co-Browsing Live Chat
  • Applies to various industries
  • Free trial available
  • Boosts productivity
  • Improves customer experience
  • Intelligent Automation
  • API communication
  • Handles complex problems
  • Latency improvement
  • No-code bot builder
  • Built-in memory module
  • Proprietary LLM Master Agent
  • Specific agent training
  • Automates BPO operations
  • Automates claims submissions
  • No credit card required for trial
  • Automates user sales journey
  • Agent orchestration
  • Supports 150+ languages
  • Real-time voice-based applications
  • Cognitive search optimization
  • CRM integration
  • Seamless API integration
  • Floatbot armor for security
  • Human-like conversations
  • Connects to user's data
  • NEO - Speech Transcription
  • User state management
  • Responsive in <5 seconds
  • Token usage optimization
  • Automates debt collection
  • Schedule a demo feature

Cons

  • Lacks clear pricing structure
  • No mention of scalability
  • Potentially complex to implement
  • Specific industry focus
  • Potential language limitations
  • ASR not 100% accurate
  • No documented success cases
  • No mention of data privacy
  • Unclear integration process
  • No third-party tool integrations

Reviews

You must be logged in to submit a review.

No reviews yet. Be the first to review!