Tool Information
Agent M is an AI tool by Floatbot, specifically built to create, train and deploy intelligent virtual assistants (IVAs), also known as Agent LLM. The primary function of this tool is to automate complex conversations. This Generative AI-based Master Agent is designed to connect to your data, communicate with APIs, and provide solutions to intricate problems. Agent M encapsulates a variety of features provided by Floatbot like omnichannel chatbots, voice AI that supports multiple languages, live chat with a co-browsing solution, AI Agent Assist if human intervention is needed, real-time ASR for voice-based applications, and advanced voice recognition technology for security purposes. It is also capable of cognitive search, allowing it to enable self-learning from unstructured data for your conversational AI bots. Thanks to these capabilities, Agent M can significantly boost productivity, foster efficient collaboration, and greatly improve the customer experience. Agent M is designed to be used in various industries such as banking, insurance, and BPO, among others. It provides a free trial for users who would like to explore its features and functionalities before availing of the service.
F.A.Q
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
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