AI Agents: Your Policy for Seamless Coverage

AI Agents for theInsurance Industry

Deliver premium service experiences for every customer worldwide, on any channel and in any language with Conversational AI solutions for insurance.

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Case Study: The Impact of AI Agents

+37%

increase in NPS

70%

lower AHT

99.5%

faster response times

Exceptional Customer Service Across Voice and Text Channels

AI Agents for insurance let you tackle the complete spectrum of self-service automation use cases.

Built for unlimited flexibility, interoperability, and ease of use, our Cognigy's AI Agents empowers business and development teams to create excellent service experiences and achieve higher efficiency across the board.

 

eBook: AI Agents for Insurance

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Pre-trained AI Agents

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Automated ID&V

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First Notice of Loss

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Claims Processing

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Instant Document Collection

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Product Recommendations

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License Plate Detection

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E-signatures

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Policy Underwriting

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Coverage Questions

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And more...

Deliver round-the-clock support and swift claim resolution with pretrained AI Agents, ensuring a frictionless experience and peace of mind at every step.

Frictionless, Instant Service

Cognigy's AI Agents simplify and speed up manual insurance processes, lowering customer effort. Customers enjoy 24/7 service on any channel and can seamlessly be handed over to a service agent when a human touch is needed.

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Easily Scale for High Demand

Whether hurricane, earthquake or other unforseen event, AI agents can handle large volumes of customer inquiries during peak times. This scalability prevents system overloads and ensures unbroken customer support during crises.

Automate Common Self-Service Processes

AI Agents with intelligent routing and out-of-the-box integrations can automate individual steps or entire self-service processes. 

Reduce your operating costs, unburden your agents and create a foundation you can easily scale.

 


Case Study: Fortune 500 Insurance Company

A Fortune 500 global insurer selected Cognigy.AI to handle their millions of yearly incoming calls.

They first launched Conversational IVR to immediately answer incoming calls, enable customers to explain their needs in natural language and then intelligently route them to the right person or process.

Next, they tackled caller identification and verification. Just by completely automating their IVR and ID&V, they were able to reduce average handling time by 15%.

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Loved by Customers

Hear what they have to say

5.0

Reviewer Function:

Research and Development

Company Size:

30B + USD

Industry:

Transportation

Excellent Choice for Complex Conversational AI at Scale

"The use of Cognigy AI has allowed us to build several bots, use cases and integrations at scale for different companies at once. It is in use for four different legal entities of our international corporation, with several new ones to follow. Major advantages that we saw over other vendors...

5.0

Reviewer Function:

Software Development

Company Size:

<50M USD

Industry:

Healthcare and Biotech Industry

Feature-rich, and Stable Platform to Build a Sophisticated and Complex Product.

"Cognigy have provided exemplary support which is key to deploying sophisticated and complex solutions. What surprised me was that the platform is feature rich, but also robust - not a common combination in this space...

5.0

Reviewer Function:

Product Management

Company Size:

1B - 3B USD

Industry:

Telecommunication

Best Conversational AI Platform!

"Fantastic experience! Very responsive team and delivering new innovation quickly. The NLU is the best in the market and is extremely easy to build bots/virtual agents."

5.0

Reviewer Function:

Data and Analytics

Company Size:

30B + USD

Industry:

Retail

The Highly Interactive and Profitable Customer Interaction System

"Cognigy.AI; is a complete enterprise conversational platform that we use daily to automate our interaction with our customers. It's AI technology offers us Chatbots and virtual assistants that interact effectively and intelligently with clients and employees and reply to them in real-time. ...

5.0

Reviewer Function:

Customer Service and Support

Company Size:

500M - 1B USD

Industry:

Energy and Utilities

Bring Your Conversational AI Strategy To The Next Level With Less Code

We are using Cognigy since a year and have around 20 chatbots and 3 voicebots on the platform with above 1 million conversations. The product is ease to use, offers alot of prebuild integrations and is therefore a great product for enterprise usage, especially in a multi brand environment. The support acts fast and feature requests are always welcome and treated fast."

5.0

Reviewer Function:

Data and Analytics

Company Size:

1B - 3B USD

Industry:

Transportation

Most Flexible Conversation AI Platform

"The platform is a breeze to use. The set-up is done very quickly and it's all low code. Which gave us a lot more possibilities to speed up the process of creating flows and integrations with our back-end systems. They're very helpful in setting up the platform and helping to design the implementation plan."

Frequently Asked Questions

What is conversational AI in insurance?

Conversational AI in insurance refers to the use of AI-powered virtual agents or chatbots that interact with customers through natural language. These AI agents help automate tasks like policy inquiries, claims processing, and customer support, providing a seamless and personalized experience. This technology improves efficiency and enhances customer engagement across digital channels.

What is an AI Agent?

An AI Agent are human-like virtual agents based on Conversational AI and Generative AI designed to automate customer service interactions across chat and voice channels. AI Agents deliver instant, personalized support in over 100 languages and integrate seamlessly with enterprise systems. They are equipped with industry-specific skills, emotional intelligence, and the ability to understand and use a company’s service knowledge and processes. Additionally, AI Agents work alongside human agents, providing real-time assistance, knowledge lookups, next best actions, sentiment analysis, and more.

How does an AI agent work in a contact center?

In a contact center, an AI agent interacts with customers through voice or chat, understanding their requests using natural language processing. It can handle routine tasks like answering FAQs, processing payments, or updating account information, freeing up human agents for more complex issues. The AI agent continuously learns from interactions to improve responses and provide a better customer experience over time.

What are examples of conversational AI in insurance?

Examples of conversational AI in insurance include virtual agents that assist customers with policy information, help file claims, or provide quotes for new coverage. AI chatbots can also guide customers through the claims process, answer billing questions, and recommend personalized insurance products. These solutions streamline customer interactions across voice and digital channels like websites, social media and messaging platforms.

What are the cases of conversational AI being used in insurance?

Conversational AI is used in insurance for automating claims processing, providing instant policy information, and guiding customers through onboarding. It also assists with billing inquiries, policy renewals, and recommending coverage options based on customer needs. These use cases improve efficiency, reduce operational costs, and enhance customer satisfaction.

What is the difference between conversational AI and generative AI?

Conversational AI focuses on enabling machines to understand, process, and respond to human language in a natural, context-aware manner. It often uses predefined responses and rules-based models to manage interactions, typically found in chatbots or virtual assistants. Its primary goal is to automate and streamline specific tasks like customer service or inquiries. Generative AI, on the other hand, uses advanced algorithms like large language models (LLMs) to generate new content, such as text, images, or even responses, based on the input it receives. Unlike Conversational AI, it doesn't rely on predefined scripts and can create more flexible, diverse, and human-like responses. In summary, Conversational AI is task-oriented and structured, while Generative AI is more creative and open-ended, and cannot model processes or integrate with enterprise systems. That's why together, they are a powerful combination which brings the advantages of each while cancelling out their respective disadvantages.

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Shape the future of customer service, today

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