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.

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Agent M was manually vetted by our editorial team and was first featured on February 10th 2024.

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Impact: 85%

Tasks: 1227

AIs: 11,868

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

Q&A

What is the primary function of Agent M?

Agent M automates complex conversations as its primary function.

Can Agent M communicate with APIs?

Absolutely, Agent M is designed to communicate with APIs.

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.

What languages does the voice AI of Agent M support?

The voice AI of Agent M supports multiple languages.

Is human intervention possible with Agent M?

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

Does Agent M offer a free trial?

Yes, Agent M offers a free trial for users.

What industries is Agent M designed for?

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

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.

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.

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.

Can Agent M be used to create omnichannel chatbots?

Yes, Agent M can create omnichannel chatbots.

What is the ASR feature in Agent M used for?

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

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.

How does Agent M handle voice recognition for security?

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

Can Agent M deploy Intelligent Virtual Assistants?

Yes, Agent M can deploy Intelligent Virtual Assistants.

Does Agent M support self-learning from unstructured data?

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

Can Agent M connect with data?

Yes, Agent M can connect with data.

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.

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.

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.