Warm Handoff
Smart Interruption
Privately Hosted & Fine-Tuned LLMs & Speech Models (industry-specific)
50+ Analytics on Consumption, Goals, AI Usage, Success Metrics
Orchestrate Between 50+ LLMs and Speech Models
Advanced Frameworks: Agentic Flow and Agent M (MultiAgent) + Fixed Flow
Simply give a prompt – and instantly create an AI Agent, or choose from industry-ready, pre-trained AI Agents.
Add and run test cases to validate your AI Agent’s performance.
Unite customer self-service, agent productivity, workflow automation
Transform customer engagement across channels, ensuring smooth fallback from voice to text or live chat (with warm handoff)
Boost the productivity of agents with next-best action suggestions, AutoQA for SOP adherence and Call or Chat summarization (reduces ACW by 90%), along with 50+ insights to evaluate performance
Engage with customers efficiently with live chat, audio/video calling, and co-browsing for guided assistance. Features include file sharing, highlighting, masking sensitive data, and document signing
Industry-grade speech recognition with 95%+ accuracy, <50ms response time, and voice biometrics. Deployable on cloud, on-premises, or hybrid setups with fine-tuning on custom data.
An AI Workspace built for insurance teams – Adjusters, Technical Support, CSRs, and Underwriters. It automates routine admin tasks like emails, scheduling, note-taking, getting insights, report generation and document handling.
Build mid to back-office workflow automation AI Agents with human-in-the-loop. It automates data entry, email parsing, document extraction, support ticket triage; summarizing, classifying, and extracting key information from emails and documents.
Unlocks conversations that are human-like, error-free and faster
Automate workflows & business conversations with near-zero latency, driven by proprietary, privately hosted, low-latency LLM model. It works on real-time use cases with Voice AI, Chat AI, & AI Agent Assist. FloatGPT is fine-tuned on industry specific data and can be fine-tuned with your enterprise data.
Generative AI module powered by RAG that automatically learns from unstructured knowledgebase, past cases, PDF, word, graphs, documents, and website content to resolve user queries. Seamlessly integrates with third-party knowledgebase and can self-train from millions of data sources.
A powerful Master Agent framework that lets you create multiple LLM based Agents. Agent M orchestrates LLM agents that perform various tasks such as natural language-based, API calls & connects to your data, knowledgebase. It helps automate complex conversations and workflows in real time.
From API creation to AI Agent deployment, everything is intuitive
A secure connection layer that links your AI Agents to any telephony system - SIP, PSTN, Twilio, Genesys, and more – enabling real-time, reliable and fully automated voice interactions.
Conversational AI can automate and streamline claims submissions & status updates, adjuster workflows, distribution, underwriting, billing, payment, policy management and customer service. It also supports agents (acting as a Copilot or AI Agent Assist) by offering real-time guidance to maximize their productivity.
Yes. AI can handle and scale instantly to manage spikes in volume – handling thousands of claims calls or chats simultaneously. This ensures policyholders receive immediate updates while freeing human agents to focus on complex cases during CAT seasons.
For routine, high-volume tasks such as verifying policy details or providing claims status – AI consistently outperforms humans in speed and accuracy, while reducing errors caused by fatigue or manual entry. Humans remain critical for empathy and judgment in complex scenarios.
Floatbot.AI supports 100+ languages across text and voice, enabling insurers to serve diverse customer bases globally. This includes regional dialects, so customers can interact in the way that feels most natural to them.
Agent M, Floatbot’s proprietary LLM, actively monitors and verifies responses from AI, correcting or rejecting any inaccuracies. By applying strong guardrails, Agent M keeps AI aligned with defined goals, ensuring their behavior and output remain accurate, consistent and purpose-driven. Unlike general-purpose AI, it’s grounded in verified insurance data and workflows, minimizing the risk of hallucinations.
Floatbot.AI follows industry-leading security standards (SOC 2, ISO 27001, GDPR, HIPAA where applicable). All data is encrypted, access-controlled and auditable. Additionally, workflows are built to comply with insurance-specific regulations such as NAIC model laws and state-level privacy requirements.
No. AI is augmenting, not replacing, human teams. It handles repetitive, high-volume tasks so agents can focus on empathetic, judgment-driven work. Insurers are using AI to improve efficiency, customer experience and employee satisfaction – not to remove the human element.