Insurance AI Deployments

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.

Delos Insurance Solutions needed to make wildfire-risk underwriting viable for California homeowners who were often considered uninsurable by other carriers.,The company built wildfire-behavior and geospatial risk models with Google Earth Engine, then used Colab notebooks and Vertex AI pipelines for model training and deployment, plus Google Maps Platform for a quote-to-buy underwriting portal.,The solution let Delos price policies more accurately, offer coverage in high-risk areas, and support agents with a fast online underwriting workflow.

Rocket Close is a Detroit-based title agency and appraisal management company that faced bottlenecks in state-specific title examinations because teams had to manually research county, probate, and tax ID requirements across fragmented systems.,To address the workflow, Rocket Close built Supercharger, an agentic AI solution that centralizes title and closing knowledge, guides operations teams through order processing in natural language, and surfaces order-specific context from internal systems.

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.

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.

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.

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.

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.

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.

Gallagher, a global insurance broker and risk management firm, built an AI platform on Microsoft Foundry to support secure enterprise AI in a highly regulated environment.,The company deployed Microsoft 365 Copilot across 70,000 employees and used Copilot Studio to create governed agents connected to internal systems.,AI is applied to claims summarization, document-heavy workflows, multi-line quote letter automation, and RFP automation with human oversight and strict data boundaries.

This article describes a hands-free first notice of loss (FNOL) intake prototype for insurance claims.,It combines Strands Agents for insurance-specific reasoning with Amazon Bedrock AgentCore Browser Tool and Amazon Nova Act to operate existing portals, tag multimodal evidence, and produce decision-ready intake for adjusters.

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.

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.

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.

Tower Insurance, a New Zealand insurer serving about 300,000 customers, modernized its contact center to replace fragmented tools and reduce swivel-chair work for agents.,The company implemented a unified AI-powered omnichannel platform with Amazon Connect Customer and Amazon Bedrock, adding call transcription and summarization, near real-time agent assistance, and generative AI evaluation forms.,Tower and Deloitte ran the work through a Business Value Realization program and a 10-week AI sprint, then expanded the platform to email and campaign capabilities.

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.