Strategically automate and digitize policy and claims processes.
Digital Intelligence enables you to make data-driven decisions to strategically automate and digitize complex processes across multiple business functions, platforms, and tools.
The insurance industry is document-driven, but few insurers have fully automated their handling of the essential documents used in quoting, underwriting, onboarding, claims adjudication, and compliance. This slows quoting, underwriting, and claims processes, and ultimately negatively impacts customer experience. Understanding the flow of information in your processes—and where delays and interruptions are—is the first step in intelligent automation in insurance.
Get your free copy of our eBook to learn how insurance organizations attract modern customers by unlocking exceptional customer experiences with automation.
Learn how to use data to improve your underwriting processes with Process Intelligence and AI, and enhance customer experience. Watch the panel with Neil Ward-Dutton from IDC, Dermot McCauley from Lithe, and the ABBYY experts.
Insurance process transformation: see how we address your organizational needs.
See your processes as living in real time and discover where bottlenecks occur, where repetition happens, where data is missing, and where automation is working or not. See the flow of documents and their data through your processes, identifying exactly where automation can make the biggest impact.
Automatically capture and process documents coming into any insurance process, such as customer onboarding, underwriting, policy analysis, reinsurance, claims, subrogation, legal disputes, and regulatory compliance.
Paper-based and electronic documents can be quickly and accurately converted to editable formats and clean data for downstream processes.
ABBYY provides a powerful enterprise platform for centralized and distributed conversion of high volumes of paper or image-original documents into searchable archives and repositories.
Simply add specific skills to your digital workforce to automate document processing as needed to make RPA and BPM applications smarter, faster, and more effective.
ABBYY’s scalable solution automates and accelerates the processing of high volumes of forms, invoices, and other documents , classifying them, extracting valuable indexes, and exporting them as searchable files into business applications or archives.
We have a skill for that.
Content is the fuel of insurance processes.
Seamlessly process documents exactly as your customers provide them to your organization through apps, portals, email, or messages. Content-enable your systems of record/engagement (Pega, Appian) with connectors based on best practices in the insurance industry.
Use real-time process monitoring to measure the success of automation and ensure you’re meeting, or exceeding, agreed-upon response times for customer service. Meet regulatory requirements and reduce processing costs and time.
It’s the content contained within documents that is generally required to initiate a business process. The quicker, more accurately, and consistently that content arrives in the right place to start the right process, the better you are able to respond to your customers quickly, onboard new ones, and redefine your overall customer experience.
With RPA and BPM introducing new possibilities for automating repetitive, error-prone processes, the ability to transform documents into targeted, easy-to-consume data, has never been more relevant than now. ABBYY Process Intelligence helps you gain a true understanding of what’s going on inside your processes to identify opportunities for real efficiency gains.
In this Q&A, principal analyst Ellen Carney provides Forrester’s analysis on how Digital Intelligence can deliver operational change and accelerate true digital transformation for insurers.
This infographic explores the biggest disruptors to digital transformation projects and the opportunity that automation technologies can play to overcome those challenges as part of your 2022 initiatives.
This TIN report sponsored by ABBYY provides expert guidance on achieving the kind of fast, simple, and responsive experience that the modern insurance customer expects.
To make the best decisions for improving your policy management lifecycle, you must have visibility into the data and content that flow through it. Download this eBook to get the recommended steps you should take to get such visibility.
This white paper features global insights on the future of insurance from insurance carrier Allianz, professional services firm Aon, and ABBYY.
This eBook explores the various and specific problems in claims management lifecycle, and the technologies available to have the visibility and fact-based insight to improve claims management and increase your flexibility to scale.
Download this white paper to learn how Digital Intelligence can enable you to refine your process efficiency and document management, and join market leaders in intelligent digital transformation.
This paper, published by Reuters Events in partnership with ABBYY, shares insights from global leaders about post-COVID insurance industry change.
This TIN report sponsored by ABBYY summarizes the outcomes of the survey and the issues raised during the keynote session at Virtual Digital Claims as well as some of the following sessions.
This checklist outlines seven steps for insurers to consider as you build out strategies for process that delivers next-level customer experiences and elevates digital transformation efforts.
Download this Novarica Executive Brief to see the landscape of solutions as they exist today, enabling you to better understand the differentiators of each, and how using a platform approach that applies AI – and insurance industry intelligence – can drive process improvement across your entire organization.
By targeting automation to remove friction from the customer experience, insurers can overcome today's challenges. View this infographic to learn more.
Find out how ABBYY Digital Intelligence solutions for Insurance can address your needs.
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