Floatbot.AI

Paid

Build voice-first, omnichannel GenAI agents without code.

#conversational AI#no-code#voice agents#banking#insurance#contact centers#customer interactions#agent assist#cognitive search#compliance

Inputs: text, audioOutputs: text, audio

Type

Saas

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About Floatbot.AI

Floatbot.AI is a no-code, voice-first conversational AI platform designed for enterprises and contact centers, particularly in regulated industries such as banking, insurance, collections, lending, and healthcare. The platform enables businesses to build and deploy LLM-powered chat and voice agents across 15+ channels, including phone calls, chat, text, and email, without requiring coding expertise. It combines real-time Agent Assist, RAG-powered cognitive search, pre-built templates, and enterprise-grade analytics to automate up to 80% of customer interactions while ensuring compliance and seamless live-agent handoff.

The platform offers a suite of AI agents, including Voice AI Agent, Digital AI Agent, AI WorkSpace, and AI Agent Assist, each tailored for specific use cases like claims FNOL, debt recovery, loan origination, patient engagement, and more. Floatbot.AI emphasizes compliance, accuracy, and trust, making it suitable for high-stakes workflows. It also provides multilingual capabilities supporting 150+ languages and claims to deliver measurable results such as increased debt recovery by 60%, reduction in call handling time by 50%, and automation of patient engagement calls by 80%.

Floatbot.AI is part of a broader ecosystem that includes a demo experience zone where users can try voice and chat AI agents. The platform is positioned as a comprehensive solution for automating operations, workflows, engagement interactions, and customer experience across various industries.

Key Features

No-code/low-code GenAI builder for chat and voice agents

Omnichannel deployment across 15+ channels (web, mobile, WhatsApp, SMS, social, IVR)

Real-time, human-like voice and chat interactions powered by LLMs

AI Agent Assist (Copilot) for real-time guidance during calls and chats

RAG-powered cognitive search and self-learning from websites, KBs, PDFs, and docs

Pre-built industry templates and integrations with leading ISVs and contact center platforms

Advanced analytics: sentiment, intent, disposition, compliance, and 50+ metrics

Seamless live agent handoff with full conversation context

Customizable workflows, decision trees, and conversational logic

APIs and SDKs for developer-friendly, back-end integrations and triggers

Pros & Cons

Pros

No-code interface allows rapid deployment without technical expertise
Designed for regulated industries with compliance and accuracy focus
Omnichannel support enables consistent customer experience across multiple touchpoints
Real-time Agent Assist improves agent productivity and reduces handling time
Multilingual capabilities support global operations
Pre-built templates accelerate implementation for common use cases

Cons

Pricing is not publicly listed and requires contacting sales, which may be a barrier for small businesses
Free tier or trial availability should be verified directly with the provider
Platform is tailored for regulated industries, which may limit its applicability for general-purpose use
Effectiveness depends on the quality of underlying LLM and RAG implementation, which may vary by use case
Requires internet access and integration with existing systems for full functionality

Best For

Contact center leaders: Automate inbound and outbound calls with voicebots and increase IVR containment to reduce AHT and costs.Insurance carriers: Streamline FNOL, claims intake, status updates, and policy servicing with chat and voice AI.Collections agencies: Run compliant outreach, payment reminders, and promise-to-pay workflows aligned with Reg F and FDCPA.Banks and fintechs: Handle account queries, onboarding/KYC, card disputes, and balances across web, mobile, and messaging channels.BPOs: Boost agent productivity with real-time copilot guidance, knowledge suggestions, and auto-summaries.Customer support teams: Deflect chats and emails with self-service bots; hand off to live agents with full context when needed.Sales teams: Qualify leads, schedule appointments, and run personalized outbound campaigns via WhatsApp and SMS.IT and CX operations: Deploy, monitor, and orchestrate omnichannel bots with analytics, alerts, and workflow automation.Knowledge managers: Enable cognitive search over websites, PDFs, and knowledge bases for accurate, cited answers.Global enterprises: Deliver multilingual support with localized intents, TTS/ASR, and regional compliance.

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