AI for Insurance Claims

Cut claim time by 50% and reduce back-office workload

Challenge

Long waits and poor experiences frustrate customers, adding stress when dealing with insurance companies

Our approach

AI for claims processing is available anytime, across chat and voice channels, guiding customers from first notice of loss to settlement

Impact

Cuts call waiting time by 70%, delivers 83% first-call resolution, and drives faster settlements, better customer experience, and stronger revenues

AI that makes claims
faster and easier

AI for insurance claims helps insurers speed up the process, from first notice to final payment

It can be integrated with operator workstations, ensuring smooth communication and data flow

case study

How BNP Paribas Cardif scaled with AI

BNP Paribas Cardif, a global insurance leader in 33 countries, partnered with Tovie AI to automate its call centre. Agents were handling repetitive questions during long shifts, making it hard to provide fast support to customers with urgent claims.

By introducing Cardi, an AI-powered voice bot, Cardif automated claim reporting and eased the workload on human agents, improving response times and customer satisfaction.

How BNP Paribas Cardif got more with AI

66%

of client service automation

70%

reduction in call waiting time

$9m

saving in operational costs over two years

-20%

missed client calls

-60%

call-centre loads

83%

first call resolution
			string(5) "icons"

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bool(false)

What can AI in insurance claims processing do?

Verify customer identity
Collect documents and register new claims
Confirm receipts and share status updates
Notify the customer when action is needed
Explain the next steps and payment procedures
Escalate complex cases to a human agent

Implement an automated claims processing workflow

Faster claims settlement

Fraud detection

Cost efficiencies

Litigation avoidance

Tovie AI seamlessly connects to any CRM, communication channel or knowledge base

Benefits of AI for Insurance Claims Management

Available 24/7 across channels

Customers can start a claim whenever they prefer (chat, phone, web, messaging)

Faster settlements

Claims move through triage and validation sooner

Cost-effective

Smarter claims processes reduce expenses

Integrates with your systems

Plug into policy systems, claims platforms, and case management tools

18% CAGR

projected global market growth through 2034
Read more

43%

portion of insurance market using machine learning
Read more

$128 billion

size of Europe’s digital insurance market
Read more

Built for finance, backed by security

Enterprise-grade security:

IBM FS validated, GDPR, SOC 2 Type 1, Cyber Essentials, PII

Purpose-built for finance:

Solutions designed for claims, renewals, compliance, not generic chatbots

Seamless integrations:

Tovie AI natively integrates with Salesforce, HubSpot, and SharePoint, as well as core banking APIs

Proven ROI:

Up to 50% faster processes, 80% automation, millions in savings

			string(5) "image"

bool(false)
bool(false)

Trusted compliance and security with IBM Cloud

Tovie AI’s solutions for Financial Services are validated and available on the IBM Cloud for Financial Services®

Shaped by real Enterprise needs

Working side by side with leading companies has taught us how to solve problems that matter most to their teams and customers
			string(5) "image"

bool(false)
bool(false)

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FAQs

What is the use of bots in insurance?

Bots in insurance, specifically chatbots and virtual assistants, have multiple uses. They assist with customer support by answering questions and providing information. They also aid in claims processing by collecting initial information, validating claims, and guiding the customer through the entire claims process until it is settled. Additionally, they offer personalised policy recommendations based on customer preferences and profile analysis.

What are the benefits of AI in insurance?

AI chatbots can provide numerous benefits to insurance companies. They include reduced operational costs by automating routine tasks, enhanced customer engagement by providing a convenient, intuitive, and interactive way for customers to engage with companies, data-driven insights, scalability, improved compliance and risk management, 24×7 support, personalised policy recommendations, instant responses to customer requests and multilingual support.

How AI can save insurance companies time?

Conversational AI-powered chatbots help automate data collection and initial assessment. At the first call, they can gather necessary information from policyholders, such as accident details or damage descriptions. This eliminates the need for manual data entry and speeds up claim processing. As a result, both customers and insurance company staff can save time and get things done more quickly.

How AI is transforming insurance industry?

One of the most remarkable impacts of digital transformation with AI in insurance is the optimisation of claims management. Carriers are increasingly adopting conversational AI to enhance efficiency in claim filing, reduce manual work, and save costs. An example is BNP Paribas Cardif, a global insurance leader, which implemented a voice bot, Cardi developed by Tovie AI. This resulted in a significant rise in first call resolution (FCR) to 83% and savings of over $9 million in operational costs over two years.

How does AI in insurance claims management system work?
AI is changing how insurers handle claims, making processes faster, more accurate, and less dependent on manual work. Traditionally, claims processing involved lengthy paperwork, multiple approvals, and back-and-forth communication with customers. This often meant claims could take hours or even days to resolve, driving costs up and customer satisfaction down. AI now automates many of these steps, helping insurers manage claims more efficiently.
At its core, an AI system works by analysing incoming claim data (photos, documents, or voice recordings) and generating structured information that insurers can use immediately. For example, if a customer submits a car accident claim, an AI model can automatically read the accident report, extract key details like the date, location, and type of damage, and suggest next steps. This reduces the time staff spend on routine tasks and helps avoid human error.
AI also enhances decision-making. By integrating with an insurer’s databases and historical claim records, the AI can detect patterns, predict potential fraud, and flag unusual claims for review. It can summarise complex documents, identify missing information, and even draft communication templates for customers or internal teams. For instance, if a customer submits a claim for property damage, the AI can generate a first-response email summarising the required documents and steps, personalised to the customer’s profile.
Also, AI can be deployed through enterprise-grade on-premise solutions to ensure full control over outputs, maintain compliance with regulations, and protect sensitive data. Employees interact with AI via dashboards or internal chatbots that act like a smart assistant, helping them locate information quickly across multiple data sources, from Excel files to PDF reports. In effect, generative AI transforms the claims process from a largely manual and fragmented operation into a streamlined, data-driven workflow, freeing employees to focus on complex cases while improving the customer experience.
What are insurance claims management services?
Insurance claims management services refer to the range of processes and solutions insurers use to handle claims efficiently, from initial submission to final settlement. These services aim to simplify the claims journey for customers, reduce operational costs for insurers, and ensure that claims are handled accurately and in compliance with regulations. Traditionally, claims management was heavily manual, requiring agents to review paperwork, verify details, and communicate with customers. Today, generative AI is increasingly at the heart of these services, offering faster, smarter, and more personalised solutions.
Modern claims management services often start with claim intake. Customers can submit claims via online portals, mobile apps, or even AI-powered voice systems. AI can interpret unstructured data, such as descriptions of accidents, photographs, or scanned documents, and automatically convert it into structured formats. This helps insurers process claims more quickly and reduces errors that may occur with manual entry.
Another key function is claims assessment. AI models can analyse historical data to identify trends, detect inconsistencies, and even predict the likelihood of fraudulent claims. For example, a model can flag unusual patterns in car insurance claims or identify anomalies in health insurance submissions. This allows insurers to prioritise high-risk claims for human review while automating routine cases.
AI also supports communication and documentation. It can draft personalised updates for customers, summarise claims progress for internal teams, or generate reports for compliance purposes. Employees benefit from AI-driven search tools that quickly find relevant information across multiple systems, cutting down the hours spent looking through documents or emails.
In short, insurance claims management services now combine traditional claims expertise with AI technologies. This combination improves efficiency, lowers operational costs, ensures regulatory compliance, and enhances the customer experience. By integrating AI, insurers can handle a higher volume of claims with greater accuracy while providing personalised support and faster responses.
How to use AI in health insurance claims?
Health insurance claims are complex and costly, often requiring insurers to manage large amounts of data, verify information, and maintain strict compliance with regulations. AI is transforming this process by improving efficiency, accuracy, and customer experience at every stage of the claims journey.
One key use case is enhanced risk assessment and underwriting. Traditional underwriting relies heavily on manual review and static data. With generative AI, insurers can analyse vast datasets, from medical records to legal documents, quickly and accurately. This allows underwriters to assess risks more effectively, identify cross-selling opportunities, and adjust pricing strategies in real time. AI can even act as a virtual assistant for risk officers, summarising policies or flagging important details, which helps accelerate decision-making.
Another important area is insurance claims automation. Claims indemnity typically accounts for 60–70% of property and casualty insurers’ expenses, and health insurance claims often follow a similar pattern. By using AI, insurers can automate routine but time-consuming tasks such as reviewing documents, validating claims, and extracting data from forms. This allows human adjusters to focus on complex cases while routine claims are processed quickly and at lower cost.
AI also improves customer service with real-time data access. Instead of searching through multiple databases, agents can use AI-powered tools like AI search tools to instantly retrieve policy information while on a call. This means customers get fast, accurate answers about their coverage, without long wait times.
For health insurers, unified data access is another major benefit. Claims processors can use AI to search across different databases, making it easier to identify fraud patterns and track historical claims. This improves both efficiency and accuracy.
Finally, AI supports personalised policies and engagement. By analysing demographics, medical histories, and past claims, AI can help insurers offer tailored plans that better match individual needs. Customers benefit from more relevant coverage, cost savings, and round-the-clock personalised support through intelligent AI search tools and assistants.
What can insurance claims management software do?
Insurance claims management software powered by AI provides a wide range of capabilities that make claims handling faster, more accurate, and more customer-friendly. At a basic level, such software automates routine tasks, allowing insurers to process claims without the extensive manual input that was traditionally required. This includes extracting information from documents, verifying data, and generating initial responses to customers.
One of the key benefits of this software is intelligent claim processing. When a customer submits a claim, the AI can read documents, photos, and descriptions, identify key details, and organise the data into actionable steps. This dramatically reduces the time to process claims – from hours to minutes while maintaining accuracy.
The software also improves decision-making. By analysing past claims and internal data, it can flag potential fraud, spot patterns, and highlight discrepancies that may require human review. Employees can focus on complex cases while routine claims are automatically handled by AI, boosting efficiency and reducing operational costs. AI can also summarise lengthy documents, create reports, and draft personalised customer communications, ensuring that clients receive clear, timely updates throughout the process.
Another important feature is knowledge management. Insurance claims management software often includes AI-powered search tools that allow employees to query internal databases and find information quickly. This could be anything from policy terms in Word documents to historical claims stored in Excel files. By providing instant access to relevant data, AI reduces the time staff spend searching for information and lowers the risk of errors.
Finally, enterprise-grade AI solutions for insurance claims come with safeguards such as compliance with GDPR and PII regulations, full output control, and on-premise deployment options. Overall, insurance claims management software helps insurers process claims more efficiently, enhance customer experience, support employee productivity, and maintain regulatory compliance.
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