Insurance AI Use Case Ranking

Tata Consultancy Services (TCS) provides an AI-native platform for insurance claims processing that transforms a linear claims workflow into an agent-driven ecosystem.,The solution uses Amazon Bedrock Agents with specialist agents to handle document and image ingestion, data extraction, NIGO checks, triage, anomaly detection, and auto-adjudication across workers compensation and disability claims, including live audio transcript generation and dynamic FNOL form filling.

Artificial Labs used Google Cloud to build insurance claims automation that recognizes patterns in complex insurance documentation and moves risks toward quote readiness with humans in control.,Conscium, Artificial Labs, and Oxford Quantum Circuits also used Google Cloud to manage thousands of LLM requests efficiently and support adjacent AI evaluation and quantum workloads.,The implementation centers on Gemini Enterprise Agent Platform, Gemini for Google Cloud, and BigQuery as the data and analytics foundation.

OneAssure is an insurtech platform in Bengaluru, India that simplifies health insurance through a digital-first, human-centric model.,The company needed to process large volumes of unstructured insurance policy PDFs and images that required manual data entry across many fields and caused errors in premium and nominee details.

omni:us, a Berlin-based company in financial services and insurance, built a cloud-assisted AI pipeline to sort insurance claims paperwork and automate processing.,The workflow handles unstructured claim documents such as forms, photos, police reports, invoices, repair estimates, and handwritten text, then converts them into structured data for claims review and fraud checking.

Hedvig replaced siloed data infrastructure with a unified semantic layer using Looker and BigQuery to enable self-service analytics.,Implemented advanced data workflows with dbt and Vertex AI for predictive pricing models and AI-ready data structure.,Democratized data access across claims, underwriting, and sales teams, reducing manual report generation.,Exploring conversational AI to allow natural language queries on self-explainable data models.,Achieved rapid claim processing and scalable analytics without increasing data team headcount.

OneAssure is a Bengaluru insurtech platform in India that simplified health insurance workflows using Google Cloud AI.,The company used Document AI to extract structured information from unstructured policy PDFs and deployed the solution on Google Kubernetes Engine.,It also used Gemini Enterprise Agent Platform to support product and policy Q&A, coverage gap analysis, and a Gemini-powered D2C chatbot for real-time policy assessments.

EXL, a global data and AI company, sought to reduce the manual effort in insurance underwriting by developing a generative AI virtual assistant on AWS to streamline document processing and evaluation.,The company developed LDS™ Underwriting Assist, a generative AI chatbot on Amazon Bedrock integrating multiple large language models and AWS services including Amazon Textract, Amazon Comprehend, and Amazon Kendra, ensuring data privacy and compliance with India's PII regulations.,Launched in August 2024 after 60 days of development, the solution reduced underwriting time from days to hours and cut costs by up to 80%. The platform improved accuracy, data security, and accelerated customer adoption with positive market impact.

Generali, an insurance and asset management group, built a central data, analytics, and AI solution on AWS to standardize common workflows across more than 40 operating entities.,The platform centralizes data access for shared processes such as claims and underwriting, helping teams avoid duplicated efforts and scale AI applications across the company.

A US-based insurance organization significantly improved its claim processing operations by leveraging a comprehensive AI-driven solution built on Microsoft Azure. Previously, insurance underwriters processed only 2-3 claims per day due to slow, manual handling of email-submitted claim forms. With the new system, the intake, classification, extraction, summarization, and storage of claim information have all been automated using Azure services, including advanced language models evaluated for quality via LLM Evaluation SDK and Azure AI Foundry. The automated architecture includes Logic Apps for email workflow, Blob Storage for document management, Document Intelligence for OCR and data extraction, OpenAI for summarization, Cosmos DB for structured data storage, and Power BI for reporting. The results include a 60% increase in claims throughput, improved accuracy, reduced manual effort, enhanced decision-making, and better customer satisfaction.

Markerstudy Group, a leading UK insurance provider, modernized its contact centre by developing a call summarisation app for its claims department using Azure OpenAI. The app automates the complex task of summarizing claims calls, saving four minutes per call for each handler. With 300 claims handlers fielding 840,000 calls a year, this equates to 7,500 working days saved. The solution improves summary quality and allows agents to focus on complex claims and effective complaint resolution. Markerstudy’s dedicated innovation team is rolling out more AI-driven improvements, including Microsoft 365 Copilot for process support in procurement, HR, marketing, and leadership, and GitHub Copilot for accelerating software development. The company enforces a comprehensive AI governance process, ensuring customer trust, quality assurance, and responsible AI use, and plans to expand Copilot seats in 2025 following positive results.

UNIQA SEE faced fragmented and complex medical referral letters and invoices, heavy manual document review and validation, call center reliance, and long claims processing cycles.

Digital Workforce Services Plc in Finland has modernized insurance claims processing for its clients by deploying a fully AI-native Agent Workforce, orchestrated by Microsoft Foundry and powered by Azure Cloud. The solution covers the entire claims lifecycle, including data capture, coverage eligibility verification, fraud detection, adjudication, and settlement.,The modular Agent Workforce architecture rapidly integrates with existing systems, automates repetitive tasks, and enables claims organizations to scale without additional human headcount. Agent reasoning and orchestration is directed via Microsoft Foundry technology—increasing flexibility and reliability.,Insurers adopting the solution report significant reductions in manual processing time, improved accuracy of claims handling, and faster claim settlements.,The Azure-based solution provides enterprise-grade scalability, security, and generalizes across insurance lines making it adaptable for different products and regulatory regimes.,By automating more claims, insurers can free experts for customer care and complex cases, boosting both operational efficiency and customer satisfaction.

Upsure is an insurtech company headquartered in India that helps insurers reduce operating costs and improve sales, productivity, and revenue.,To meet strict regulatory requirements, scale cost-effectively, and support its AI roadmap, Upsure moved to a full cloud environment on Google Cloud.,The company is exploring Vertex AI and Gemini to help insurers automate anti-money-laundering checks, KYC scoring, lead scoring, claims automation, and document creation.

Informatica's Intelligent Data Management Cloud (IDMC) integrates with Azure AI Foundry to provide context-aware AI agents that enable trusted, compliant, and explainable enterprise AI decisions.,The integration focuses on handling fragmented, ungoverned enterprise data with high-quality, governed data accessible in real-time by AI agents, using MCP servers as a bridge between data and AI.,The system supports data discovery, integration, privacy, access control, governance, lineage tracking, and master data management, ensuring AI decisions are based on reliable and verified data.,A real-world insurance fraud detection agent uses Azure AI Foundry and Informatica MCP to analyze claims data, identify anomalies, and reduce fraudulent claims while accelerating valid claims processing.

Microsoft introduced a new era of low-code app development integrated with AI agents, generative pages, and the full integration of Copilot Studio, Power Automate, and RPA, evolving the Power Platform from a simple development tool into an intelligent ecosystem.

180 Seguros is a São Paulo-based insurtech company that provides an end-to-end infrastructure for businesses to sell insurance policies across Brazil.,The company migrated its analytics environment to Google BigQuery to improve data organization, make operational metrics more frequently updated, and reduce manual effort for data environment maintenance.,It also developed an experimental conversational knowledge base for product professionals and developer teams in partner companies, integrating the solution into its own APIs and using Google Cloud generative AI resources including Vertex AI Search.

Liberty Mutual Insurance modernized its Financial Central Services (FCS) transaction processing by moving to a serverless-first architecture on AWS.,The company consolidated disparate lines of business into a centralized general ledger and used event-driven processing to improve resilience, reduce operational overhead, and speed delivery.

NamiTech, a Vietnam-based technology company, built VoiceGate, an AI compliance platform for BaoViet Life to meet new insurance regulations for face-to-face sales consultations.,The solution automates compliance checks, authenticates identities through voice biometrics, and flags potential fraud in near real time.,VoiceGate was deployed on AWS with Amazon Bedrock, Amazon EC2, and Amazon S3 to support scalable voice processing and secure storage.,The platform reduced manual verification time from up to 60 minutes to under 1 minute and can process up to 40,000 contracts per month.

Insurance companies face increasing pressure to streamline claims processing. Manual workflows burden call centers with high costs, long wait times, and human errors, leading to customer dissatisfaction and churn. Netguru addressed these challenges by developing a custom AI voicebot using Microsoft Azure OpenAI and Azure Speech Services. Unlike off-the-shelf solutions that lack insurance-specific adaptation, their tailored bot automates claims intake, supports complex workflows and multilingual interactions, and integrates with insurers’ CRM platforms. The system is capable of natural interruption handling, accurate speech recognition, and can scale for 24/7 support. By shifting routine tasks to AI, call center costs are cut dramatically while customer satisfaction rises. The architecture leverages Twilio for voice calls, STT via Azure and OpenAI Whisper, and CRM integrations for data flow. Operational efficiency, error reduction, and regulatory compliance are core benefits, demonstrated by monthly cost reductions and faster claim registrations.

Swiss Re, a global reinsurance leader, launched a fully automated digital insurance platform for flight delay insurance. The platform leverages Microsoft Azure cloud services, including Azure App Service, API Management, SQL Database with elastic pools, and Azure DevOps, to deliver instant claims processing, real-time monitoring, and rapid product deployment. Collaborating with FlightStats for live flight data and working with Microsoft partner Codit for cloud technology integration, the solution enabled Swiss Re to process millions of micro-insurance policies with minimal manual intervention. The system is scalable and cost-effective, requiring no specialized IT for operations, and can be easily integrated by airlines and travel agencies as a value-added service. Most claims are reimbursed within one hour post-landing. The success of this project accelerated further digital transformation and platform-based innovation at Swiss Re, with other IoT projects now being built on the same Azure foundation.