Skip to content

Comunicato n. 05/2024 – incontro Presidente D.G. e CdA INPS

La settimana scorsa abbiamo partecipato, con le altre OO.SS., all’incontro con il Presidente Fava, la Direttrice Generale Vittimberga e i consiglieri del CDA.
È stata l’occasione per presentare al Presidente la nostra Associazione che, da sempre, rappresenta e sostiene i medici dell’Istituto dipendenti e convenzionati.
Abbiamo esposto quelle che sono le priorità per la nostra categoria evidenziando, in particolare, la carenza di personale medico e la necessità di rendere attrattiva l’attività medico-legale INPS in questo momento storico.

Continue reading “Comunicato n. 05/2024 – incontro Presidente D.G. e CdA INPS”

comunicato n. 04/2024 – ACN Medici convenzionati

Lunedì 13 maggio u.s., le OO.SS firmatarie dell’ACN sono state convocate dall’Amministrazione in merito alla gestione economica, fiscale e contributiva dei medici convenzionati esterni.
Riguardo ai compensi, INPS dovrà attenersi all’esito del recente interpello dell’Agenzia delle Entrate n. 956 -505/2024, il quale afferma che i medici dovranno emettere fattura con IVA.
Abbiamo rilevato che, a nostro parere, nel quesito dell’Istituto all’Agenzia delle Entrate bisognava esplicitare che l’attività medico-legale istituzionale, finalizzata al riconoscimento in materia di invalidità previdenziale e civile, ha finalità pubbliche che rientrano nei LEA di cui al dpcm 12/1/2017 e, con l’occasione, abbiamo chiesto che in futuro le organizzazioni sindacali vengano informate dei quesiti prima del loro invio.

Continue reading “comunicato n. 04/2024 – ACN Medici convenzionati”

COMUNICATO N. 03/2024 – CMV – CCNI 2023

L’altro ieri, l’Amministrazione ha convocato le OO.SS. per approfondire gli aspetti tecnici/ organizzativi dell’attività ex CMV.
Nelle scorse settimane, avevamo sollecitato un incontro in tal senso alla luce del bando per la selezione di n.129 medici specialisti da destinare allo svolgimento di tale nuova competenza affidata all’Istituto.
La nostra richiesta era motivata dalla necessità di comprendere come questi colleghi dovranno essere inseriti nell’attività medico-legale accertativa che, attualmente, viene svolta presso i Coordinamenti Medico Legali Regionali sulla base delle indicazioni operative riportate nei messaggi n.003037 del 31/08/2023 e n.003124 del 05/09/2023
Il Dott. Lauria e il Dr. Migliorini hanno illustrato quelle che sono e saranno le necessità dell’Istituto riguardo al reperimento di personale medico, indicando nel bando per i medici specialisti uno strumento che in parte potrà mitigare la carenza di organico che, in alcune realtà territoriali, non è stata colmata né dai concorsi né dall’ACN dei medici convenzionati.

Continue reading “COMUNICATO N. 03/2024 – CMV – CCNI 2023”

PUBBLICATO SUL SITO INPS 07.03.2024

Avviso di selezione pubblica per il reperimento di un contingente di n. 129 medici, specialisti in specifiche branche di interesse istituzionale, cui conferire incarichi individuali, con contratto di lavoro autonomo, finalizzati ad assicurare il presidio delle funzioni delle ex Commissioni Mediche di Verifica del MEF

https://www.inps.it/it/it/avvisi-bandi-e-fatturazione/fatturazione-reclutamenti/dettaglio.bandi-fatturazione-reclutamenti.2024.03.avviso-di-selezione-pubblica-per-il-reperimento-di_22.html

5 Insurance Chatbot Use Cases Along the Customer Journey

Generative AI A Gamechanger in Boosting Insurance CX

chatbot use cases insurance

You can foun additiona information about ai customer service and artificial intelligence and NLP. Chatbots simplify this by providing a direct platform for claim filing and tracking, offering a more efficient and user-friendly approach. A chatbot could assist in policy comparisons and claims processes and provide immediate responses to frequently asked questions, significantly reducing response times and operational costs. Chatbots contribute to higher customer engagement by providing prompt responses. Integration with CRM systems equips chatbots with detailed customer insights, enabling them to offer personalized assistance, thereby enhancing the overall customer experience.

Additionally, UBI policies can encourage safer driving behaviour, as drivers who know their driving habits are being monitored are more likely to drive responsibly. AI-powered systems can analyse images and videos of the damage and provide an estimate of the cost of repairs. This process is faster, more accurate, and less expensive than traditional methods. In addition, the chatbot has helped FWD Insurance save $1 million per year in client support costs.

chatbot use cases insurance

Digital-first customers expect quick and flexible interactions tailored to their needs, and smartphones or IoT devices come to support this by becoming more present in people’s lives. With the strategies and recommendations discussed, your company can navigate the technological advancements more effectively. Surely, you first need to determine the optimal architecture and operational principles and then choose the tools to implement them. Among code-based frameworks, the market-leading solutions include the Microsoft bot framework, Aspect CXP-NLU, API.ai, and Wit.ai. Communication with the bot should have a natural course, without the need for much thought, but with clear control of all details. When developing dialogue scenarios, it is important that conversation topics are close to the purpose the chatbot serves.

Based on the data and insights gathered about the customer, the chatbot can make relevant insurance product recommendations during the conversation. An insurance chatbot is a virtual assistant powered by artificial intelligence (AI) that is meant to meet the demands of insurance consumers at every step of their journey. Insurance chatbots are changing the way companies attract, engage, and service their clients. It is a product that requires a significant investment on the part of the customer, not just financially, but also in terms of time and attention.

Bots can also help policyholders find the relevant channel through which they can renew their policy and the information required to make the payment. This sudden hike in demand can overload and subsequently exhaust your team. At such times, you can automate one of the most time-consuming activities in insurance, i.e, processing claims. With this, you get the time and effort to handle the influx and process claims for a large number of customers.

Discover: Answer frequent questions

In the financial landscape, AI-powered document processing emerges as a key tool, reshaping the way institutions handle and derive insights from various financial documents. Having good-quality data is important for these predictive models to work well. For example, detailed and comprehensive CRM data sets are foundational for deriving actionable insights and generating intelligent recommendations.

chatbot use cases insurance

This rapid analysis reduces the time between submission and resolution, which is especially crucial in health-related situations. DICEUS provides end-to-end chatbot development services for the insurance sector. Our approach encompasses human-centric design, contextualization of communication, scalability, multi-language support, and robust data protection. The implementation of natural language processing, for example, allows clients to freely exchange messages with a chatbot, which provides detailed feedback and adds personality to the interaction. A chatbot provides an enhanced customer experience with self-service functionalities. It provides real-time problem-solving opportunities and more major benefits where that comes from.

Ease of Integration is often forgotten by clients while choosing a chatbot solution. As any other third-party service, chatbot integration requires careful planning and execution. Before any change, businesses need to identify potential integration challenges, such as compatibility issues or data security concerns, and develop a strategy to overcome them. With recent advancements in generative AI, conversational chatbots can now generate very human-like interactions. Popularized by ChatGPT, these bots are capable of producing unique content simulating any of your customer advisors. Modern technologies and software solutions in insurance are necessary components for the development of companies working in this niche.

This transparency builds trust and aids in customer education, making insurance more accessible to everyone. Insurance chatbots are excellent tools for generating leads without imposing pressure on potential customers. By incorporating contact forms and engaging in informative conversations, chatbots can effectively capture leads and initiate the customer journey. The insurance chatbot has given also valuable information to the insurer regarding frustrating issues for customers. For instance, they’ve seen trends in demands regarding how long documents were available online, and they’ve changed their availability to longer periods. AI chatbots act as a guide and let customers keep in control of their buyer journey.

Conversational insurance chatbots combine artificial and human intelligence, for the perfect hybrid experience — and a great first impression. In a market where policies, coverage, and pricing are increasingly similar, AI chatbots give insurers a tool to offer great customer experience (CX) and differentiate themselves from their competitors. They can respond to policyholders’ needs while delivering a wealth of extra business benefits. In essence, insurance chatbots can be viewed as versatile virtual assistants capable of helping all customers and stakeholders involved in the insurance ecosystem. By providing instant and personalised support, insurance chatbots empower potential policyholders to make informed decisions and seamlessly navigate insurance processes.

It makes for one of the fine chatbot insurance examples in terms of helping customers with every query. Insurance companies can use chatbots to quickly process and verify claims that earlier used to take a lot of time. In fact, the https://chat.openai.com/ use of AI-powered bots can help approve the majority of claims almost immediately. Even before settling the claim, the chatbot can send proactive information to policyholders about payment accounts, date and account updates.

How to use WhatsApp chatbots for Insurance

Learn how Haptik’s insurance chatbot seamlessly resolved 70% of Zurich’s inbound customer queries end-to-end. Overall, AI-powered data management and analysis is a game-changer for the insurance industry. It enables insurers to make more informed decisions, reduce the risk of human error, and identify potential fraud. In conclusion, AI-driven marketing and sales can help insurance companies to improve their lead generation, conversion rates, and customer retention. By leveraging the power of AI, insurance professionals can make their marketing and sales processes more efficient and effective. I know that marketing and sales are critical to the success of any business.

TATA AIG Set to Launch AI-Powered WhatsApp Chatbot Soon – Analytics India Magazine

TATA AIG Set to Launch AI-Powered WhatsApp Chatbot Soon.

Posted: Fri, 10 May 2024 07:00:00 GMT [source]

Multi-territory agreements with global technology and consultancy companies instill DRUID conversational AI technology in complex hyper-automations projects with various use cases, across all industries. DRUID Conversational AI assistants easily integrate with knowledge-base systems, allowing them to provide 24/7 conversations for fast problem resolution. Deploying conversational AI for insurance is a breeze with the DRUID solution library, which features over 500 skills available in ready-made templates that cover multiple processes. While these statistics are promising, what actual changes are occurring within the sector? Let’s delve into the practical applications of AI and examine some real-world examples. As the CEO and founder of one of the top Generative AI integration companies, I will also share recommendations for the successful and safe implementation of the technology into business operations.

Chatbots are no longer just tools, they’re partners in delivering exceptional customer service. Chatbots use natural language processing to understand customer queries, even if they are phrased in a casual way. Additionally, chatbots can be easily integrated with a company’s knowledge base, making it easy to provide Chat GPT customers with accurate information on products or services. Chatbots and virtual assistants are AI-powered tools that can help insurers provide prompt and personalised customer service. Chatbots can be integrated into a company’s website or mobile app to answer customer queries and provide support 24/7.

  • Chatbots with multilingual support can communicate with customers in their preferred language.
  • They’ll set the country choices based on the visitors’ nation so that everyone can relate to the question.
  • These ways range from handling insurance claims to accessing the user database.
  • DALL-E is an image-generating language model that can generate images from textual descriptions.
  • Conversational AI can generate reports of its conversations, saving hours of after-call work.

This intuitive platform helps get you up and running in minutes with an easy-to-use drag and drop interface and minimal operational costs. Easily customize your chatbot to align with your brand’s visual identity and personality, and then intuitively embed it into your bank’s website or mobile applications with a simple cut and paste. Built with IBM security, scalability, and flexibility built in, watsonx Assistant for Insurance understands any written language and is designed for and secure global deployment. Frankie, a virtual health insurance consultant, interacts with customers by responding to routine queries, helping live agents focus on more complex issues and improving overall customer experience. Insurers are exploring new use cases for AI, such as using AI-powered drones for property inspections and using AI algorithms to detect and prevent fraud in the insurance and claims process. As AI models continue to evolve, there are endless opportunities for insurers to innovate and improve their services.

AI in Underwriting: Data-driven Insurance Operations in 2024

But for any chatbot to succeed, it must be powered by the right technology. By adhering to robust security and privacy measures, you’ll protect any confidential information that’s transmitted through the chatbot, instilling trust and confidence among policyholders. Insurers handle sensitive personal and financial information, so it’s imperative that you safeguard customer data against unauthorised access and breaches. By doing this, you’ll facilitate effortless transitions between them, creating a cohesive and seamless customer experience across all touchpoints. Knowledge base content gives chatbots access to a vast repository of information and expertise that’s specific to your organisation.

Health insurance provider DKV uses the Inbenta chatbot across its main online channels to improve its CX. Known as ‘Nauta’, the insurance chatbot guides users and helps them search for information, with instant answers in real-time and seamless interactions across channels. Being available 24/7 and across multiple channels, an automated tool will let policyholders file insurance claims or get urgent support and advice whenever and however they want. This is particularly valuable for insurance companies, as they possess huge amounts of information regarding policies, coverage details, claims processes, frequently asked questions, etc. By tapping into this database, chatbots can offer highly detailed and relevant responses to a vast range of user inputs, leading to improved customer engagement and increased customer satisfaction.

To have that one employee that interacts with EVERY SINGLE PROSPECT on your website or social channels, and extended help with either sales or customer support, round the clock. There are times when you want the content on your page to prompt the user to take the next step. For example, if the web page copy is written with an intent to educate the consumer, you may think a chatbot isn’t really needed. More and more websites are now banking on conversational AI to attract, activate, and retain customers. Similarly, a chatbot is recommended for a pricing page, to not miss out on potential prospects because of their last moment second thoughts.

Chatbots provide instant support, reducing anxiety and improving the customer experience. Yellow.ai’s chatbots are designed to process and store customer data securely, minimizing the risk of data breaches and ensuring regulatory compliance. An insurance chatbot can track customer preferences and feedback, providing the company with insights for future product development and marketing strategies. Let’s explore seven key use cases that demonstrate the versatility and impact of insurance chatbots.

Are we still talking about AI as a tool of the future? Not exactly. – Allianz

Are we still talking about AI as a tool of the future? Not exactly..

Posted: Tue, 22 Aug 2023 07:00:00 GMT [source]

By predicting equipment failures and performing maintenance proactively, insurers can reduce the risk of claims due to equipment failure, reducing the likelihood of financial losses. Generative AI in life insurance opens new avenues for enhancing customer support, as demonstrated by MetLife’s innovative application. The company has strategically implemented the technology in its call centers. Thus, the instrument ensures clients receive empathetic and efficient service. Gen AI also enhances support services quality during the indemnification process. It provides policyholders with real-time updates and clarifications on their requests.

Chatbots are computer programs designed to simulate conversation with human users. AI Jim chatbot from Lemonade creates a truly seamless, automated, and personalized experience for insurance clients. It greatly reduces wait time for customers and provides information and initiates documentation that helps speed up the process. The bot ensures quick replies to all insurance-related queries and can help buyers enroll for insurance and get claims processed in less than 90 seconds. Anound is a powerful chatbot that engages customers over their preferred channels and automates query resolution 24/7 without human intervention.

Many times, it so happens that people are lured and trapped by sales agents, which ultimately leads to fraud. Chatbots are enabled by artificial intelligence that eliminates most probabilities of fraud. Even with digitalization efforts, 46% of people still prefer talking to an agent over the phone to using a self-service option. This means there is a lot of potential for self-service tech, including chatbots.

One of the most significant AI applications in insurance is automating claims processing. By using machine learning algorithms to analyse claims data, insurers can quickly identify fraudulent claims and process legitimate ones faster. Personalised policy pricing is another area where AI is making a difference.

Chatbots are available 24/7 and allow companies to upload relevant documents and FAQ questions that are used to answer customer questions and engage them in real-time conversations. Chatbots also identify customers’ intent, give recommendations and quotes, help customers compare plans and initiate claims. This takes out most of the unnecessary workload away from employees, letting them handle only the more complex queries for customers who opt for live chat. Most chatbot services also provide a one-view inbox, that allows insurers to keep track of all conversations with a customer in one chatbox. This helps understand customer queries better and lets multiple people handle one customer, without losing context. In a world driven by digital-savvy Millennials, Conversational AI emerges as the game-changer for insurance brands.

The assistant can also send customers reminders about upcoming payments, and simplify the payments process on the customer’s preferred channel. SnatchBot is an intelligence virtual assistance platform supporting process automation. Sensely is a conversational AI platform that assists patients with insurance plans and healthcare resources. On the positive side, the chatbot is capable of recognizing message intent.

For instance, supervised learning algorithms can categorize and prioritize insurance applications based on their complexity and risk levels. By doing so, they direct simpler cases for automatic approval while routing more complex cases to human experts for deeper analysis. By emulating human perception, reasoning, learning, and problem-solving abilities, AI for insurance promises to transform the sector chatbot use cases insurance from a reactive approach to a proactive strategy. This fundamental shift is poised to influence every facet of the industry, spanning brokers, consumers, financial intermediaries, insurers, and suppliers alike. As these stakeholders use these advanced technologies, they stand to elevate decision-making processes, increase productivity, lower expenses, and optimize the overall customer journey.

Allie is a powerful AI-powered virtual assistant that works seamlessly across the company’s website, portal, and Facebook managing 80% of its customers’ most frequent requests. The bot is super intelligent, talks to customers in a very human way, and can easily interpret complex insurance questions. It can respond to policy inquiries, make policy changes and offer assistance. Tokio is a great example of how to use a chatbot in providing proactive support and shortening the sales cycles. The chatbot currently handles up to two-thirds of the company’s inbound insurance queries over Web, WhatsApp, and Messenger. It serves customers with quotes, policy renewal, and claims tracking without any human involvement.

The insurance industry is highly competitive, and providing an excellent customer experience is essential for retaining customers. AI-powered chatbots and virtual assistants can provide 24/7 customer support, answering customer inquiries and guiding them through the claims process. Using natural language processing, they can understand and respond to customer queries accurately, providing a seamless customer experience. AI can also analyze customer feedback and identify areas for improvement, enabling insurers to enhance their customer experience continuously. As AI chatbots and generative AI systems in the insurance industry, we streamline operations by providing precise risk assessments and personalized policy recommendations. The advanced data analytics capabilities aids in fraud detection and automates claims processing, leading to quicker, more accurate resolutions.

chatbot use cases insurance

This approach enhances insured satisfaction and positions businesses for market leadership. The benefits also include faster claims resolution, fewer errors, and a more engaged client base. It heralds an era where the insurer transitions from a mere transactional entity to a trusted advisor. AI is poised to revolutionize consumer experiences and reshape the narrative of insurance itself. Those who embrace this change will not only elevate the CX but also lead the industry into a new epoch. GAI’s implementation for threat review and pricing significantly enhances the accuracy and fairness of these processes.

Chatbots can now handle a wide range of customer interactions, from answering simple questions to processing claims. This is helping insurance companies improve customer satisfaction, reduce costs, and free up agents to focus on more complex issues. Modern chatbots leverage machine learning algorithms to discover customer behavior and analyze the most frequent requests to optimize scripts of conversational flows and make them more personalized. By getting personalized assistance, customers become more loyal to insurance products and services. Excellent experience encourages people to recommend insurance providers to their friends.

And with generative AI in the picture now, these conversations are incredibly human-like. In conclusion, AI-powered tools can help insurance companies provide better customer service, improve customer satisfaction, and reduce the workload on customer service representatives. By using chatbots, virtual assistants, and AI voice assistants, insurers can provide prompt and personalised support to customers, 24/7. Artificial Intelligence is transforming the insurance industry, enabling insurers to automate their processes, reduce costs, and provide better customer experiences.

Chatbots can also support omnichannel customer service, making it easy for customers to switch between channels without having to repeat themselves. This streamlines the policyholder journey and makes it easier for customers to get the help they need. Insurance chatbots are revolutionizing how customers select insurance plans. By asking targeted questions, these chatbots can evaluate customer lifestyles, needs, and preferences, guiding them to the most suitable options.

AI-driven predictive analytics tools enable insurers to automate risk assessment processes, identifying potential fraud or anomalies in real-time. By analyzing historical data and patterns, these systems flag suspicious activities, enabling insurers to mitigate risks proactively and minimize losses. AI is shifting the insurance industry by churning vast data to maximum advantage. Insurers leverage it to tailor individualized policies, automate underwriting processes, and deliver more precise estimates to customers globally. This enhances efficiency and ensures a personalized experience for each policyholder. Forbes reports a striking 60% surge in operational efficiency within the insurance sector, a 99.99% enhancement in claims accuracy and a substantial 95% improvement in customer experience.

AI algorithms can analyse large amounts of data and identify patterns that may indicate fraudulent activity. This can help insurers to reduce their losses and improve their overall profitability. Another way AI can help with claims triaging is by using predictive analytics to identify claims that are likely to be fraudulent. By analysing data from past claims, AI can identify patterns and anomalies that suggest fraudulent activity. This can help insurers to identify and investigate potentially fraudulent claims more quickly and efficiently.

The technology analyzes patterns and anomalies in the insured data, flagging potential scams. This AI application reduces fraudulent claim payouts, protecting businesses’ finances and assets. It continuously learns from new datasets, enhancing suspicious activity identification and prevention strategies. It actively identifies risk patterns and subtle anomalies, providing a comprehensive overview often missed in manual underwriting.

From product design and development to underwriting processes and claims management, the possibilities are endless. One of the biggest business impacts of Covid was the acceleration of digital transformation. To address these challenges, AI technologies are giving insurers the opportunity to transform some of their most complex processes and set the stage for competitive advantage. According to a 2019 Statista poll, 44% of clients are comfortable using chatbots insurance claims, while 43% are happy to purchase insurance coverage. As a result, practically every firm has embraced or is using chatbots to take advantage of the numerous benefits that come with them.

chatbot use cases insurance

This immediate feedback loop allows insurance companies to continuously improve their offerings and customer service strategies, ensuring they meet evolving customer needs. The ability to communicate in multiple languages is another standout feature of modern insurance chatbots. This multilingual capability allows insurance companies to cater to a diverse customer base, breaking down language barriers and expanding their market reach. For example, AI chatbots powered by Yellow.ai can interact in over 135 languages and dialects via text and voice channels. It also eliminates the need for multilingual staff, further reducing operational costs. Insurance chatbots, be it rule-based or AI-driven, are playing a crucial role in modernizing the insurance sector.

  • By now, chatbots have become an integral part of numerous brands and services.
  • Conventionally insurance agents used to make house calls or even reach out digitally to explain the policy features.
  • Engati provides efficient solutions and reduces the response time for each query, this helps build a better relationship with your customers.
  • Chatbots are able to take clients through a custom conversational path to receive the information they need.
  • Their adoption is a testament to the shifting paradigms in consumer expectations and business communication.
  • Chatbots enable 24/7 customer service, facilitate ordinary and repetitive tasks, as well as offer multiple messaging platforms for communication.

It brings multiple benefits, including enhancing staff efficiency and productivity (61%), improving customer service (48%), achieving cost savings (56%), and fostering growth (48%). The choice of the chatbot platform usually impacts the ease of deployment, integration options, scalability and performance, costs, and more. Here at DICEUS, we help insurance companies choose the right platform according to their needs, goals, and requirements. Insurance chatbot development requires thorough testing and quality assurance as any other type of software.

As voice AI advances, insurance bots will likely expand to more channels beyond phone, web, and mobile. For example, imagine asking for a policy quote on Instagram or booking an agent call through Facebook Messenger. Scandinavian insurance company specializing in property and casualty insurance for individuals and businesses. Founded in 2007, the company has quickly grown to become one of the largest independent insurance providers in Scandinavia (NO, SE, DK).

For example, many can say that they don’t like to call a call center for assistance and they’d rather file a claim online. End-to-end integration makes it easy to deploy chatbots on top of popular instant messengers and other real-time sales channels. Today’s insurers are closely studying trends and appreciating the innovative potential of chatbots. Powered by artificial intelligence (AI), they are capable of streamlining the widest range of operations, delivering an ultimate competitive advantage. Voice bots can seamlessly guide your customers through claims, allowing them to submit required photos or documents on the appropriate portals or to the required entities. This not only saves them from the hectic insurance claiming process but allows them to focus on things that are more important.

Insurance chatbots can streamline support and automate huge volumes of customer conversations. Insurance chatbots can act as virtual advisors, providing expertise and assisting customers around the clock. For example, with Appian’s AI document extraction and classification, insurers can automate the manual work of analyzing policy documents. Or they can chat with AI Copilot to answer questions about a customer policy or claim.

chatbot use cases insurance

Chatbots are accessible around the clock, offering immediate support to customers without the delays of being on hold or restricted by business hours. By examining customer inquiries and delivering tailored responses, even for intricate insurance procedures, chatbots emerge as a genuine substitute for traditional phone or email communications. AI-powered chatbots can act as the forefront security for insurance companies by analyzing claims data, verifying policyholder information, and preventing fraudulent submissions. Empowered by Haptik, Upstox experienced a 20% surge in trades, onboarded 220.5K customers in just 6 months, and resolved 78% of queries without agent intervention.

This streamlined process not only saves time but also ensures accuracy, as the chatbot eliminates potential errors that might arise from manual input. While many industries are still in the experimental phase, the insurance sector is poised to benefit significantly from the integration of artificial intelligence into its ecosystem. In this on-demand session, see how you can leverage all of your unstructured data—in even the most complex claims packages—to streamline review and decision making.

They can even have intelligent conversations thanks to technologies such as natural language processing (NLP). Empower customers to access basic inquiries, including use cases that span questions about their insurance policy to resetting passwords. Quickly provide quotes and pricing, check coverage, claims processing, and handle policy-related issues.

Comunicato n. 2/2024 – Rinnovo polizza 2024/2025

A TUTTI I COLLEGHI
POLIZZA ASSICURATIVA R.C. PROFESSIONALE 2024/2025

Abbiamo rinnovato con la Compagnia Reale Mutua Assicurazioni la polizza assicurativa Rc professionale, in formula collettiva, rivolta a tutti gli iscritti: Medici Dipendenti, Medici Convenzionati INPS, Medici in quiescenza.
La NOVITA’ di quest’anno è che la polizza è sottoscrivibile anche dai Medici Fiscali.
Sempre con la Reale Mutua, c’è la possibilità di attivare in formula collettiva una polizza di copertura delle spese legali sottoscrivibile dai medici dipendenti, convenzionati, fiscali e pensionati.
Resta comunque la possibilità, solo per i medici dipendenti, di aderire alla polizza Tutela Legale con la NOBIS FILO DIRETTO, sempre in formula collettiva.
N.B. Le polizze di tutela legale sono alternative l’una all’altra e si differenziano sia per l’oggetto della tutela che per i soggetti a cui sono dirette -vedi fogli informativi e contratti allegati

La polizza Reale Mutua GARANZIA BASE copre sia l’attività di medico INPS, di medico Fiscale che l’attività di CTU/CTP, medico legale, medico del lavoro e consulente medico (con esclusione degli interventi chirurgici).

Continue reading “Comunicato n. 2/2024 – Rinnovo polizza 2024/2025”

Decreto Legislativo Disabilità

E’ stato ieri liquidato il parere della Conf. Stato regione sul decreto legislativo disabilità.
Il testo presenta ancora qualche condizione da definire, però Inps è unico e diretto gestore dal 2026 e il testo sulle definizioni e procedure è sostanzialmente definito.

 

accedi