Agent M
3.40
0
Agent M automates complex conversations with omnichannel chatbots, real-time ASR, and self-learning capabilities.
What is Agent M?
Agent M is a conversational AI tool that specializes in automating complex conversations, supporting omnichannel chatbots, providing real-time ASR (Automatic Speech Recognition), advanced voice recognition, cognitive search capabilities, self-learning from unstructured data, co-browsing live chat, and intelligent automation. It caters to various industries such as banking, insurance, and BPO among others, offering features like API communication, no-code bot building, automated BPO operations, and more. Agent M enhances productivity, improves customer experiences, and supports human intervention when needed. It also offers a free trial for users.
Who created Agent M?
Agent M was created by Jimmy, an expert in SaaS-based automation solutions with a focus on innovating customer experiences through AI automation. The company behind Agent M is Floatbot.AI, where Jack Welch and Jim Iyoob serve as advisors. Floatbot.AI offers various pricing plans for Agent M tailored to different needs, starting from Lite to Enterprise, with features like AI services, cognitive search, and integration with popular third-party tools. The launch date of Agent M was on October 1, 2023, marking a significant step in providing advanced conversational AI tools for transforming the customer experience across industries like banking, insurance, and BPO.
What is Agent M used for?
- Automate claims First Notice of Loss (FNOL) in the insurance industry
- Facilitate renewals and customer onboarding in the insurance industry
- Automate debt collections, payment negotiation, and disposition
- Automate retail and corporate banking bots
- Offer core banking services through various channels
- Automate telemarketing and customer support in contact centers and BPOs
- Enable hybrid AI and Agent business models in contact centers and BPOs
- Automate inbound and outbound calls for customer support and sales in banking and financial institutions
- Automate debt collection, accelerate payment negotiation in debt collection processes
- Launch WhatsApp and SMS/Text-based collections bot for debt collections
How to use Agent M?
To use Agent M effectively, follow these comprehensive steps:
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Primary Function: Agent M automates complex conversations, enhancing productivity and customer experience across various industries like banking, insurance, and BPO.
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Key Features: It offers omnichannel chatbot support, real-time ASR, voice recognition, cognitive search capabilities, and self-learning from unstructured data.
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Communication: Agent M can communicate with APIs, supporting seamless integration for efficient operations.
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Human Intervention: It allows human intervention through the AI Agent Assist feature, ensuring personalized interactions.
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Free Trial: Users can explore Agent M's capabilities through a free trial, experiencing its potential before committing.
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Industry Applications: Designed for banking, insurance, and BPO sectors, Agent M streamlines processes and boosts efficiency.
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Voice AI Support: Enables interactions in multiple languages, catering to diverse customer bases globally.
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Security Measures: Handles voice recognition for security, ensuring data privacy compliance and secure connections.
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Boosting Productivity: Automates user sales journeys, supports intelligent automation, and offers no-code bot building for streamlined operations.
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Advanced Functions: Cognitive search allows self-learning from unstructured data, empowering AI to deliver intricate solutions efficiently.
By following these steps, users can leverage Agent M's advanced features to automate conversations, enhance customer experiences, and drive productivity across various industries.
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
Cons
- Lacks clear pricing structure
- No mention of scalability
- Potentially complex to implement
- Specific industry focus
- Potential language limitations
- ASR not 100% accurate
Agent M Pricing and plans
Paid plans start at $4999/month and include:
- Agent M, LLM based Master Agent Framework
- Cognitive Search
- Integration with popular third-party LLM for Prompt engineering
- Intent, Entity, Classify models
- Custom NLP
- Custom Cognitive Search models
Agent M FAQs
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What is the primary function of Agent M?
- Agent M automates complex conversations as its primary function.
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Can Agent M communicate with APIs?
- Absolutely, Agent M is designed to communicate with APIs.
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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.
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Does Agent M offer a free trial?
- Yes, Agent M offers a free trial for users.
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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.
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What industries is Agent M designed for?
- Agent M is designed for various industries such as banking, insurance, and BPO among others.
Get started with Agent M
Agent M reviews
Rahul Kumar
January 14, 2025
What do you like most about using Agent M?
I appreciate the real-time ASR feature. It's quite helpful for my team to handle customer calls without needing to transcribe everything manually.
What do you dislike most about using Agent M?
The user interface can be quite complicated for new users. It took some time for my colleagues to get accustomed to it.
What problems does Agent M help you solve, and how does this benefit you?
Agent M automates responses for frequently asked questions which saves our team a lot of time. However, it lacks the ability to handle very specific inquiries effectively.
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Clara Martinez
January 12, 2025
What do you like most about using Agent M?
The no-code bot building feature is fantastic. It allows our marketing team to create chatbots without needing a tech background.
What do you dislike most about using Agent M?
Sometimes, the chatbot struggles with understanding context in conversations. It can lead to customer frustration.
What problems does Agent M help you solve, and how does this benefit you?
Agent M helps us automate customer support, reducing the workload on our agents. This allows them to focus on more complex tasks.
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Michael Johnson
December 14, 2024
What do you like most about using Agent M?
I like the concept of self-learning capabilities. It has potential if it can properly learn from user interactions.
What do you dislike most about using Agent M?
The integration with our existing systems has been a hassle. It seems like it doesn’t play well with other tools we use.
What problems does Agent M help you solve, and how does this benefit you?
It does help in automating basic queries, but I find myself often stepping in to resolve issues that the AI fails to handle.
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