Best AI tools for< Insurance Agent >

Peslac is a leading insurance solution provider in Africa, offering innovative and reliable insurance technology to reshape the insurance landscape. With a focus on streamlining processes, improving customer experiences, and combating insurance fraud, Peslac empowers businesses with comprehensive solutions tailored to meet the evolving needs of the insurance industry. From InsurSphere for insurance distribution to Auto for motor claims and Medical for medical claims processing, Peslac leverages advanced technology and skilled professionals to drive efficiency and productivity in the insurance sector.

Quandri is a digital workforce solution that automates repetitive tasks for insurance brokerages and agencies. By leveraging advanced automation and AI, Quandri's digital workers can help businesses save time, reduce errors, and increase efficiency. Quandri's out-of-the-box digital workers can be deployed seamlessly into any agency or brokerage, and can be trained to perform a variety of tasks, including EDI processing, closing broker activities, eDoc processing, inbound lead management, and renewal reviews. With Quandri, businesses can free up their team's time to focus on more value-producing activities, such as building relationships with clients and growing their business.

This application utilizes AI technology to simplify the complex process of understanding health insurance policies. Unlike other apps that focus on insurance search and comparison, this app specializes in deciphering the intricate language found in policies. It provides instant access to policy analysis with a one-time payment, empowering users to gain clarity and make informed decisions regarding their health insurance coverage.

StrAIberry is an AI solution for the Patient, Insurance, Dentist triangle that can organize and solve the issues of personal oral hygiene, appointment setting, second eye opinion with the highest precision for dentists, insurance fraud, and risk management for insurance while saving cost, time and paper waste.

Convr is an AI-driven underwriting analysis platform that helps commercial P&C insurance organizations transform their underwriting operations. It provides a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification, and risk scoring. Convr's mission is to solve the last big problem of commercial insurance while improving profitability and increasing efficiency.

Gradient AI is a leading provider of artificial intelligence solutions for the insurance industry. Their solutions improve loss ratios and profitability by predicting underwriting and claims risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation.

Nestor is an AI-powered insurance assistant that provides clear and jargon-free answers to all your insurance questions. It can audit your insurance contracts, identify potential over-insurance or under-insurance, and suggest ways to improve your coverage. Nestor is constantly learning and can provide expert advice on a wide range of insurance topics.

Convr is a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification and risk scoring. As a trusted technology partner and advisor with deep industry expertise, we help insurance organizations transform their underwriting operations through our AI-driven digital underwriting analysis platform.

SimpleTalk AI is an advanced AI application that offers voice AI technology to businesses, enabling them to streamline customer interactions, automate tasks, and enhance communication efficiency. With features like universal calendar syncing, conversational AI voicemail replacement, seamless handoff capability, intelligent real-time interaction, and global communication capabilities, SimpleTalk AI revolutionizes customer relationship management. The application provides custom-made voice AI agents for various industries, such as real estate, solar, health insurance, tech support, and credit repair, offering tailored solutions for different use cases. SimpleTalk AI empowers businesses to break language barriers, automate for efficiency, innovate customer service, and maximize savings by leveraging AI-driven communication solutions.

Feathery is an AI-powered platform that enables users to create powerful forms and workflows without the need for coding. It offers advanced features such as AI data extraction, document intelligence, signatures, and collaboration tools. Feathery caters to various industries like insurance, healthcare, financial services, software, and education, providing solutions to streamline processes and enhance user experiences. The platform is designed to automate form workflows, extract and fill documents, and connect with different systems, making it a versatile tool for data management and workflow optimization.

Federato is an AI-powered platform that integrates Google Cloud's AI capabilities to provide new AI underwriting solutions for the insurance industry. It aims to revolutionize underwriting processes by leveraging AI technology to enhance risk assessment, portfolio management, and decision-making. Federato's RiskOps platform empowers underwriters with powerful insights, real-time risk selection guidance, and unified underwriting workflows, enabling them to make more informed decisions and improve operational efficiency.

Further AI is an AI application designed to revolutionize insurance operations by providing AI Teammates for various tasks such as quote generation, policy checking, and renewal follow-ups. The platform aims to enhance efficiency, reduce errors, and automate repetitive tasks in the insurance industry. Further AI offers innovative solutions for insurance brokers, general agents, and insurers, allowing them to scale their business without the need for additional hiring. By leveraging AI technology, users can streamline workflows, automate client calls, navigate portals, and extract data from complex documents with ease and accuracy.

InsureLife is an AI-powered insurance distribution platform that offers an innovative Foundational AI platform for financial services. The platform enables brands to increase revenue, enhance profitability, and achieve growth by automatically cross-selling personalized financial products based on customer profiles. InsureLife's Agentic AI platform provides a frictionless experience for customers, boosting profitability through personalized product recommendations. The platform seamlessly integrates into existing workflows without complex integrations or subscription fees.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It handles tasks like detecting and rejecting jailbreak attempts, calling backend APIs, disaster recovery, and observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and standards-based observability. Arch aims to improve the speed, security, and personalization of generative AI applications.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple languages.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Azure OpenAI demos is a repository showcasing various demos and use cases of Azure OpenAI services. It includes demos for tasks such as image comparisons, car damage copilot, video to checklist generation, automatic data visualization, text analytics, and more. The repository provides a wide range of examples on how to leverage Azure OpenAI for different applications and industries.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Tu guía para el examen teórico del permiso de conducir B de España. Miles de preguntas reales de examen, apoyo intelectual y emocional de parte de un choffer profesional 🏁

Insurance broker assistant for policy understanding.

Especialista em consultar CEP

Precise car valuation expert, provides actual car values.

Plugga smartare 🚀

Analyzes insurance documents with formal, friendly advice.

Expert in BC driving regulations and tests

A guide to help choose the right Medicare coverage.

Your go-to source for road laws and legal documents.

Your friendly driving coach, with safety and law tips and rules

An informative guide on CPF in Singapore, offering insights on effective fund management. Not financial advice.

Entrainez-vous pour votre examen du code de la route en posant toutes sortes de questions sur différentes situations de la route.

Dansk vejledning i outsourcing regler for forsikringsselskaber

Experto en el libro del conductor de Chile

A helpful guide for choosing and understanding health insurance plans.

Chat with your new personal insurance and claims assistant - you will only need to upload your insurance policy and he will tell you if you are covered for a specific event

Caring and professional, offering tailored travel emergency advice.

Your Personal Retirement Coach Offering Guidance on Social Security Benefits, Medicare and How to Make Money in Retirement [Sponsored by http://RetireSmartDeals.com]

Advanced guide on Michigan no-fault law, with updated legal data.

A helpful guide for car buyers, focusing on potential issues with different car models.

Asistente legal claro y profesional en pensiones de jubilación.

Simple, Friendly Guide for Jamaican Drivers

Formal yet witty AI & Insurance expert. Powered by Breebs (www.breebs.com)

Specializes in comparing insurance policies and providers.

Für Fragen zu den Schweizer Sozialversicherungen. Das GPT kennt Themen wie AHV/IV, EO, Familienzulagen und antwortet ohne Gewähr 🤥. Ist kein Angebot der verwendeten öffentlichen Quellen 😷.

Sophisticated, immersive life insurance AI.

Expert in protection plans for consumer goods and services.

Discusses traffic tickets and violations in a legal, informative tone.

Provides legal and informative guidance on writing wills and estate planning.

Provides legal information on estate planning, wills, and trusts.

A guide for exploring insurance options and resources.

Badass Insurance Leads helps insurance agents from across the United States find the best aged life insurance leads to sell policies to.

Provides insights on flood prevention and emergency preparedness

Expert on auto loans, car financing, and interest rates.

Professional, friendly insurance explainer

A friendly guide for hurricane preparedness and safety

活泼友好的中国保险知识向导

驾驶考试科目一专家

Friendly and clear insurance advice expert

Asistente especializado en accidentes de tráfico que te facilitará información y recomendaciones para iniciar una reclamación

Expert in PEO sales, specializing in Payroll, HR, and Workers' Comp advice.

Apporté ds réponses sur les fin de carrière et sur la retraite