Guiding a new customer through a multi-step digital application over the phone is slow and fraught with errors. A single missed field or upload error can delay account activation for days.
Customers get stuck on complex forms (e.g., loan applications, KYC updates). Without seeing which field is causing confusion, you can't prevent them from abandoning the process.
When a customer says, "I can't log in" or "the payment failed," your agent is left guessing. Is it a browser issue, a user error, or a genuine system bug? Diagnosis takes far too long.
Talking a customer through a sensitive task—like setting up a payee or updating security settings—without visual confirmation increases the risk of them making a costly mistake in the wrong section of the portal.
While on a service call, you can't visually guide a customer to explore a new credit card offer or a wealth management tool. The chance to add value and increase wallet share is lost.
Complex issues that can't be resolved visually over the phone often result in a branch visit. This drives up your operational costs and severely diminishes the customer's digital experience.
AI handles the volume. Agents handle the complexity - supported by co-browsing
Shorten sales cycles, eliminate onboarding friction, resolve high-stakes issues on the first contact
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.