Agent M

Agent M is an AI tool by Floatbot, specifically built to create, train and deploy intelligent virtual assistants (IVAs), also known as Agen...

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What is Agent M?

Agent M is an Agentic AI framework that enables enterprises to build, train, and deploy intelligent AI Agents for voice, chat, and agent assist. It enables multi-agent orchestration and full control over AI Agent behavior, allowing businesses to create multiple LLM-based agents that perform various tasks such as natural language-based API calls, connecting to data, and automating complex conversations like financial advisory or user onboarding.

Key features include session management with unlimited contextual memory, Pre-Defined Skills (FAQ answering, meeting booking, order taking, support tickets, calendar access, CRM data access), Custom Skills for specialized needs, Smart Guardrails with PII redaction to reduce hallucinations, Omni-Channel deployment across chat, voice, SMS/Text, email and 15+ platforms like WhatsApp and Facebook Messenger, Multi-LLM Compatibility (ChatGPT, Claude, Gemini, Llama, custom enterprise LLMs), API Integration without coding, RAG Cognitive Search for fast AI-driven answers, and a Service Terminal for testing before deployment.

Agent M is tailored for Contact Center AI use cases and enterprise teams seeking automation, including Customer Support Managers, Sales Representatives, IT Support Specialists, Business Analysts, and industries like Banking, Insurance, Healthcare, Pharmacy, and BPO companies. It optimizes for real enterprise scenarios with sub-5-second latency, built-in multi-agent orchestration, and compliance with SOC 2, HIPAA, and GDPR.

Agent M pricing

Pricing model: Freemium

Floatbot pricing starts at $99/month (or $119/month billed annually) for the Lite plan with 14-day free trial, no credit card required. Four tiers: Lite ($99/mo) with 500 voice minutes/chat sessions, 2 concurrent calls, 10 concurrent chat sessions, 5 KB sources, 2MB upload; Essential with 25 concurrent calls, 100 chat sessions, 20 KB sources, 10MB upload; Growth with 75 concurrent calls, 500 chat sessions, 50 KB sources, 25MB upload, 180-day history; Enterprise with no limits on calls/sessions/KB sources/upload, forever history. Agent M (LLM Master Agent Framework), Cognitive Search, and Generative AI included in all plans. ChatGPT or equivalent GenAI charges MAY be charged additionally depending on use case and complexity.

Agent M pros

  • Excels at complex multi-agent conversations
  • Optimized for Contact Center AI enterprise scenarios
  • Unlimited contextual memory recall
  • Built-in multi-agent orchestration without external tools
  • Responds in under 5 seconds latency
  • Native verification layer reduces hallucinations
  • Works with ChatGPT, Claude, Gemini and other LLMs
  • No-code interface for bot customization
  • Pre-defined skills for quick setup
  • Comprehensive session management
  • Reduced latency compared to ChatGPT
  • PII masking and data encryption for security
  • SOC 2, HIPAA, GDPR compliance
  • Deploy across 15+ channels including WhatsApp and Messenger
  • API Integration without coding required
  • RAG Cognitive Search for fast knowledge retrieval
  • Service Terminal for testing before deployment
  • Smart Guardrails control agent behavior
  • Custom skills using intuitive no-code studio
  • Lower cost compared to ChatGPT

Agent M cons

  • Potential complexity in custom skill creation
  • Reliance on accurate data sources
  • May require training for optimal use
  • Costs associated with scaling
  • No free tier advertised publicly
  • ChatGPT/GenAI charges may be额外 additionally
  • Custom AI models require enterprise plan
  • Limited to 2 concurrent calls on Lite plan

Frequently asked questions about Agent M

What is Agent M?

Agent M is an Agentic AI framework that enables enterprises to build, train, and deploy intelligent AI Agents for voice, chat, and agent assist. It enables multi-agent orchestration and full control over AI Agent behavior, allowing creation of multiple LLM-based agents that perform tasks like natural language API calls, data connections, and complex conversation automation.

Do I need coding skills to use Agent M?

No. Floatbot.AI provides a no-code interface with an intuitive studio for creating custom skills. However, developers can extend functionality using APIs and pro-code options when needed for specialized requirements.

What types of AI Agents can I build with Agent M?

You can build support agents, sales agents, help-desk agents, outbound agents, knowledge retrieval agents, and complex multi-step conversational agents — all within a single unified framework. Each agent can be trained on specific skills like customer support, sales, or helpdesk.

Is Agent M secure and compliant for enterprise use?

Yes. Agent M supports SOC 2, HIPAA, GDPR compliance, PII masking, and data encryption. Sensitive data is never used to train models, and the platform includes Smart Guardrails with PII redaction to manage data privacy.

Can I test my AI Agent before going live?

Yes. Floatbot.AI offers a Service Terminal for debugging, testing queries, validating responses, and inspecting real-time logs before deployment. This eliminates errors, keeps private data secure, and ensures complete confidence before going live.

Can I use my preferred LLM with Agent M?

Yes. Agent M is LLM-agnostic. You can use Floatbot's low-latency proprietary LLM FloatGPT or integrate your preferred model such as GPT, Claude, Llama, Gemini, or custom enterprise LLMs.

What pre-defined skills are available in Agent M?

Pre-defined skills include: Answer FAQs, Book or schedule meetings, Take and manage orders, Handle support tickets, Check and update calendars, and Access CRM data. These ready-to-use skills enable quick setup for common use cases.

How does Agent M compare to other AI frameworks?

Agent M excels at complex multi-agent conversations while others struggle with multi-step logic. It's optimized for enterprise Contact Center AI scenarios, has unlimited contextual memory vs limited short-term sessions, built-in orchestration vs requiring external tools, under 5-second latency vs 1-6 minutes, native hallucination control vs no built-in system, and works with multiple LLMs vs single LLM lock-in.

What channels can I deploy Agent M on?

Agent M is Omni-Channel Ready and deployable instantly across chat, voice, SMS/Text, email, and 15+ digital platforms including Facebook Messenger, WhatsApp, MS Teams, Telegram, web, and more. It powers smooth human-like conversations across all these channels.

Which industries benefit most from Agent M?

Industries like Banking, Insurance, Healthcare, Pharmacy, and BPO/Contact Center Outsourcers benefit significantly. Floatbot has signed contracts with large Banks, Insurance companies, and Contact Center Outsourcers. Agent M revolutionizes contact center and back-office operations by tackling repetitive tasks.

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