Agent M

Build & deploy intelligent virtual assistants with Floatbot.

Virtual Assistants Intelligent Automation Chatbots Generative AI API communication Multi-Language Support

Tool Information

Primary Task	Chatbots
Category	ai-and-machine-learning
Sub Categories	personal-assistants workflow-automation chatbots generative-text
API Available	Yes
Pricing	Free + from $99/yr
Country	United States

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.

Floatbot.AI is a no-code platform that specializes in generative and conversational AI, founded in 2017 and based in Milpitas, California. The company develops AI-powered solutions aimed at enhancing customer engagement and automating processes, particularly in sectors like banking, insurance, and business process outsourcing.

The platform offers a variety of services, including AI agent assist bots that support call center agents in real-time, self-service chatbots and voicebots for automating customer support across multiple channels, and omnichannel deployment capabilities. Floatbot.AI's technology integrates with popular large language models, natural language processing, and various APIs, ensuring seamless interaction across over 15 customer-facing channels. The platform is also pre-trained on industry-specific rules, particularly for banking, to deliver accurate and timely responses.

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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Frequently Asked Questions

1. What is the primary function of Agent M?

Agent M automates complex conversations as its primary function.

2. Can Agent M communicate with APIs?

Absolutely, Agent M is designed to communicate with APIs.

3. What are some of the key features of Agent M?

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.

4. What languages does the voice AI of Agent M support?

The voice AI of Agent M supports multiple languages.

5. Is human intervention possible with Agent M?

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

6. Does Agent M offer a free trial?

Yes, Agent M offers a free trial for users.

7. What industries is Agent M designed for?

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

8. How does Agent M improve customer experience?

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

9. What is the 'cognitive search' feature of Agent M?

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

10. Does Agent M improve productivity and collaboration?

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

11. Can Agent M be used to create omnichannel chatbots?

Yes, Agent M can create omnichannel chatbots.

12. What is the ASR feature in Agent M used for?

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

13. What is the Agent Assist feature in Agent M?

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

14. How does Agent M handle voice recognition for security?

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

15. Can Agent M deploy Intelligent Virtual Assistants?

Yes, Agent M can deploy Intelligent Virtual Assistants.

16. Does Agent M support self-learning from unstructured data?

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

17. Can Agent M connect with data?

Yes, Agent M can connect with data.

18. How can Agent M resolve intricate problems?

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.

19. Is Agent M suitable for the banking and insurance industries?

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.

20. How can Agent M boost productivity?

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