Floatbot.AI
AI agent platform automating phone calls, chat, text and email
About Floatbot.AI
Floatbot.AI is enterprise conversational AI aimed at regulated, high-volume contact operations rather than at general customer chat. That focus is visible in the use cases it names: automating debt collections, handling first notice of loss on insurance claims, and supporting collectors and customer service representatives in live conversations. These are domains where a generic chatbot is useless, because the workflows are compliance-bound, integrated with core systems, and involve conversations no one wants to get wrong. The platform recently earned recognition as a Core Performing solution across all three CMP Prism categories.
The architecture separates two things most vendors bundle. Self-service intelligent virtual agents handle conversations autonomously across voice, chat, text and email. Agent Assist works alongside a human, supporting a live representative during a call rather than replacing them, which is usually the more realistic starting point in regulated industries. Underneath sits an LLM stack including FloatGPT, RAG-based cognitive search, and Agent M. The Floatbot UNO platform, a built-in assistant called Scout, a speech-to-text API and FloatSpace complete the surface. AppXchange provides integrations across CCaaS, banking and insurance systems. Pricing is described as value-based and arranged through a demo.
Deployment starts by choosing between autonomous self-service agents and agent assist, since those solve different problems and most organisations need both. Voice AI Agents handle inbound and outbound phone conversations; Digital AI Agents cover chat, text and email. The LLM stack, including RAG cognitive search, grounds responses in your actual policy and product documentation rather than in model priors, which is what makes the output defensible in a regulated context. Integration runs through AppXchange into existing CCaaS, banking and insurance systems, so the agents operate against real records. For live calls, Agent Assist surfaces guidance to the human representative in real time. Engagement begins with a scheduled demo rather than self-serve signup.
- •Voice and Digital AI Agents - Autonomous handling across phone, chat, text and email rather than chat alone
- •Agent Assist - Real-time support for a human representative during live voice, chat and email interactions
- •RAG Cognitive Search - Responses grounded in your own documentation, which is what makes them defensible in regulated conversations
- •Industry-Specific Solutions - Purpose-built for insurance, collections, healthcare, banking, lending and BPO rather than generic support
- •Debt Collection Automation - A named use case, and one of the highest-volume regulated conversation types
- •Claim FNOL Automation - First notice of loss handling for insurance, automating the intake stage of a claim
- •AppXchange Integrations - Connectors into existing CCaaS, banking and insurance platforms so agents work against real systems
- •Speech to Text API - Underlying transcription available as its own API alongside the agent platform
For contact centre and operations leaders in insurance, banking, lending, healthcare and collections, where call volume is high, conversations are compliance-bound and generic chatbots have already failed. It suits BPOs looking to automate a portion of their handled volume, and organisations wanting to support existing representatives before replacing any of them, which is what Agent Assist is for. This is an enterprise product with demo-led sales and value-based pricing, so it is not a fit for small teams wanting to self-serve a chat widget.
Pricing
$99 - $4999/mo
- Lite$99/mo
- Essential$1999/mo
- Growth$4999/mo
- EnterpriseContact sales
From the vendor pricing page, 2026-09-19
