| Category | Metric | Capacity |
|---|---|---|
| Response Time | <1s | 15,000 Concurrent Calls |
| Speech Recognition | 99% | 100k calls/day |
| Uptime | 99.99% | 24/7/365 |
| Failover Time | 50ms | Auto-recovery |
| First-call Resolution | 98% | All calls |
| Recovery Time | <1s | Automatic (full-context retained) |
| Queue Time | 200ms | Peak hours |
Delays, errors, and unhappy customers at every turn
Automates Inbound/Outbound Calls by
90%
Reduces Customer Effort Score (CES) by
80%
Brings down Errors & Inaccuracies by
50%
Decreases Average Handling Time (AHT) by
70%
Drops Call Abandonment Rates by
55%
Leverage the power of Agentic AI and conversational workflows to build customized AI agents without writing a single line of code.
Try NowAutomate test cases with Floatbot, run simulations with just a prompt, tweak responses, and ensure your AI Agent performs flawlessly across different workflows.
Try NowConnect your Voice AI to your existing contact center, CRM, telephony, or messaging platforms seamlessly.
Try NowDeploy with confidence and have AI Agent live in production faster than ever.
Try NowUse detailed analytics and insights to monitor interactions, identify improvement areas, and enhance your Voice AI Agent’s efficiency.
Try NowFor conversations that require human intervention, the call can be transferred to a live agent with full context retained, keeping humans-in-the-loop.
Human Sounding with Near-Zero Latency
Smart interruption
Warm Handoff
50+ Analytics on Consumption, Goals, AI Usage, Success Metrics
Uninterrupted Multi-Modal Communication: Voice and SMS/Text/Chat/Email
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.
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.