The building blocks that make Agent M run your entire AI Agent setup
The building blocks that make Agent M run your entire AI Agent setup
| Category | Agent M | Others |
|---|---|---|
| Conversation Handling | Excels at complex, multi-agent conversations | Struggles with multi-step logic |
| Contact Center AI | Optimized for real enterprise scenarios | General-purpose |
| Memory Module | Unlimited contextual recall | Limited to short-term sessions |
| Orchestration | Built-in multi-agent orchestration | Requires external tools |
| Latency | Responds in under 5 seconds | Takes 1–6 minutes |
| Guardrails & Hallucination Control | Has a native verification layer to reduce errors | No built-in control system |
| LLM Flexibility | Works with ChatGPT, Claude, Gemini and others | Usually locked to a single LLM |
Talk to your customers anywhere – web, app, or voice. Agent M powers smooth, human-like conversations across 15+ channels including WhatsApp, Messenger, and more.
Support your human agents with AI-driven suggestions, summaries, and AutoQA for SOPs' adherence.
Use Agent M to integrate ChatGPT (or any LLM) directly into your app. Connect it with your own data, workflows, and APIs without coding.
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.
No. Floatbot.AI provides a no-code interface. However, developers can extend functionality using APIs and pro-code options when needed.
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.
Yes. Agent M supports SOC 2, HIPAA, GDPR, PII masking, and data encryption. Sensitive data is never used to train models.
Yes. Floatbot.AI offers a service terminal for debugging, testing queries, validating responses, and inspecting real-time logs before deployment.
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, or custom enterprise LLMs.
