How Lawyers Use AI for Insurance Claims to Defend Carriers
Learn how lawyers and in-house legal teams at insurance carriers can use enterprise AI to improve collaboration and help make better claims decisions.
8 Claims-Processing Performance Metrics for AI in Insurance
Learn which performance metrics and KPIs for AI claims-processing will help insurance leaders enable better claims decisions and optimize ROI.
Ethical AI in Insurance: Why It Matters for Claims Teams
Ethical AI for insurance fosters accountable, just, and transparent claims decisions based on the foundations of compliance, fairness, and empowerment.
Creating an AI Medical-Records Summary for Claims
Medical-record summaries generated by AI help insurance teams instantly get up to speed on a claimant's medical history for faster & fairer decisions.
How to Create an AI Medical Chronology for Insurance Claims
Learn what an AI medical chronology is and how claims teams can leverage them to make better insurance decisions.
AI Claims Data Insights for Better Insurance Decisions
Learn how AI analyzes claims data from insurance documents and external sources to provide insights for adjusters to help them make better decisions.
AI for Fraud Detection: What Insurance Leaders Should Know
AI fraud detection helps carriers reduce claims leakage, enable adjusters, and support policyholders, empowering leaders to transform insurance.
What Is AI Document Automation for Insurance?
Learn what AI document automation for insurance is, its applicability & benefits, and how the technology works to make faster & fairer claims decisions.
How AI Is Transforming Claims Processing in Insurance
Learn what AI for insurance claims processing is, what are the different types of AI, and how insurance leaders can create change with human-centric AI.
What Is AI Document Classification for Insurance?
Learn how AI document classification automatically processes, segments, and categorizes claims documents to save time and liberate insurance teams.
Explainable AI in Insurance: Bringing Clarity to Insights
Learn more about explainable AI for insurance, processes that explain and justify AI insights to help insurers deliver accurate and fair claims decisions.
How Non-Textual Gen-AI Improves Insurance Claim Decisions
Learn what non-textual gen-AI is for insurance carriers and how it helps liberate claims teams from tedious tasks so they can do their best work.
Case Study: Streamlining Claims Management with Owl.co AI Solutions
Learn how Owl.co's AI-driven solutions enabled a leading insurer to transform claims processing, minimize errors, and combat fraud—delivering exceptional improvements in efficiency and accuracy.
How Insurance Document Generation Benefits Claims Teams
Adjusters spend excess time managing claims instead of supporting claimants. Learn what AI document generation is to improve efficiency and customer service.
Future-Proofing AI: Understanding Current and Emerging Regulations
Part 4 of a series on AI compliance in insurance. Explores how insurers can ensure AI compliance with current and emerging regulations, like GDPR and the EU’s AI Act.
Global Milestone: US, UK, and EU Sign the World’s First International AI Treaty
On September 5, 2024, the US, UK, and EU signed a landmark international AI treaty, promoting global AI governance, protecting human rights, and ensuring transparency.
AI By the Rules: A playbook for Embedding Compliance in Insurance
Part 3 of a series on AI compliance in insurance: This guide delineates six key steps for embedding compliance in AI, emphasizing practical implementation strategies.
Introducing (VET AI) Act
introduction the "Validation and Evaluation for Trustworthy Artificial Intelligence (VET AI) Act" by U.S. Senators John Hickenlooper and Shelley Moore Capito represents
The Compliance Compass: Mastering AI Compliance Benchmarks in Insurance
Part 2 of a series on AI Compliance in Insurance. To ensure AI aligns with industry standards, it's crucial to benchmark its compliance effectively. This article explores how to measure AI's adherence to regulations and ethical guidelines.
The Emerging Dilemma: Identifying the Compliance Risks in AI for Insurance
Part 1 of Compliant AI Playbook for Insurers. As AI grows in the insurance industry, it brings significant risks like privacy issues, bias, and harmful recommendations. This article highlights these key compliance challenges, laying the groundwork for exploring solutions in upcoming parts.
Effectively Managing Worker Compensation Claims Across Multiple States
Explore best practices for navigating state-specific regulations in worker compensation claims. Learn how to collaborate with legal experts, invest in the right AI, and foster a culture of compliance to enhance claims management and ensure adherence to laws.
Fair AI in Insurance: Insights from Colorado's Bold Move
AI risks perpetuating biases in insurance. Colorado's regulation requires insurers to ensure fair AI, conducting annual reviews and maintaining transparency. Insurers must audit data, test algorithms, and document processes. Tech providers help meet compliance and prevent discrimination.
Navigating the Perception of AI Among Teams
A leaders' guide to introducing AI to teams thoughtfully and with care, to mitigate any intimidation or fear of job security.
Data Privacy and Security in Vendor Relations
How the insurance industry can navigate data privacy and security challenges in third-party claims management, in the US and Canada
Understanding the Implications of the Georgia House Bill on Using AI in Insurance Decisions
Georgia House Bill 887 aims to protect against bias in AI tools. Predictive analytics can lead to discrimination and perpetuate inequalities. Individualized analytics, like Owl.co, provide fair and accurate insights for insurance claims.
The Costly Impact of Outdated Technology on Insurance Claim Payers
Outdated technology in insurance claims management causes inefficiencies, delays, and human errors. Claims automation tools can improve efficiency, reduce costs, and increase customer satisfaction.
Identifying Fraud in Insurance Claims: Leveraging ML and AI for a Fair and Sustainable Insurance Ecosystem
Discover how ML and AI are transforming insurance fraud detection. Owl.co leverages these technologies to analyze data, automate investigations, and enhance accuracy. Improve efficiency, reduce costs, and provide a better customer experience.
Reinvention in the Age of Generative AI: Implications for the Insurance Claims Industry
Discover how generative AI is revolutionizing the insurance claims industry, enhancing efficiency, improving decision-making, and streamlining operations. Embrace the power of AI for a competitive edge in claims management.