Author: Franz Malten Buemann

  • Insurance Chatbot | The success story of 3 largest companies

    Life can come at you in unpredictable ways, and having yourself safely insured is always a smart investment plan. The core of any insurance plan is to provide you with protection. Making small investments in insurance can provide you with financial security in advance. Now, with technological advancements and messaging platforms growing popular, the insurance sector has seen a significant surge in the way it has been running all along. Insurance is a data-driven sector and in the last many years, data corruption has been a persistent problem in this sector. Hence, AI-driven chatbots are a boon!

    Making use of chatbots in the insurance sector, companies have been able to uplift their services, communication, efficiency, and customer support. So in this blog, let’s dig a little deep into how chatbots for insurance are proving to be advantageous.

    Trend- Insurance chatbots for agents?

    Insurance Chatbots are growing into the hottest trends in technology for the last 2 years. Chatbot algorithms that enable intelligent conversations with humans are now being used to assist both customers and agents in many areas of the insurance sector. These insurance chatbots enable new functionalities by assisting hundreds of queries all at the same time, and as more companies come up with newer technologies to make bots more intelligent, they’re bound to offer more applications in the insurance industry in the coming years!

    Though insurers have been using voice assistants at call centers for a while now, the development of new technologies has been enabling far more complex interactions. chatbots for insurance are being used extensively within the industry to support agents, and customer applications such as onboarding new clients, processing claims and renewals. Even though chatbots offer many benefits, insurers must make sure they’re being supported with the right intelligent tool.‍

    Challenges That Insurance Chatbots Can Solve

    Today, the insurance industry faces countless challenges. With the world becoming more digital each day, consumer expectations change at a rapid pace. Consumers look for policies from online websites and compare prices themselves before contacting an agent. As information has been made easily available to the consumers, the insurance companies are using chatbots to overcome these commonly faced challenges to build better relationships with their policyholders.

    1. Consumers don’t easily trust insurance companies

    According to a recent survey, people trust insurance companies way less than they trust any other sector. People are very hesitant to invest their money in insurance. They’re always looking out for any hidden clauses in the policy fearing ending up with something they don’t want to buy, while the insurance companies are often labeled with a bad reputation if they’re open about their policy!

    Customers don’t trust insurance companies easily‍

    To overcome this, insurance companies are building website chatbots that can make quick and reliable engagements while building trust among its users. Insurance Chatbots communicate with the consumers, provide them with details and quick solutions in simple language which builds a good rapport between the consumers and the brand.‍

    2. Consumers don’t always understand insurance policies properly

    People lack proper knowledge bases about insurance policies and their advantages, which makes it even more difficult for insurance companies to sell their products. This can be easily solved with online insurance chatbots. Insurance companies usually have a web of complex technical terms that are hard to understand from a layman’s perspective. Chatbots can easily communicate these terms to the customers in an interactive manner using simple language, aiding customers in having a clearer picture of the policy and many things as such.‍

    3. Insurance claims and renewals are complicated processes

    Insurance claims and renewals have always been a complicated process and time-consuming when done manually. That’s why insurance companies are building chatbots that allow customers to make claims or renewals directly through the chatbot and there is no need for a live agent to do so. This automation in claims and renewals has made the whole process really quick and easy, both for the agents as well as the policyholders.‍

    4. Consumers have different communication preferences

    Consumer-company interactions happen in three ways- online communication via texts, talking over the phone, or in-person meetings. As more and more people turn towards messaging as their chosen communication medium, insurance companies have to cater to this preference quickly. And what better online conversational tool than a chatbot? Insurance chatbots become the ideal customer support agents the buyers are looking for. They’re always available, you can just drop in a text and have a solution/reply immediately!

    The future of insurance in a digital world

    In this digital age, opportunities and threats are often different sides of the same coin. Customers are less loyal and more demanding; competitors are entering the industry with radical ideas unburdened by legacy systems or mindsets. Disruption is inevitable; insurers must decide whether they will be among the disruptors or one of their casualties.

    Now, digital insurance companies are creating unique customer experiences through new combinations of information, business resources and digital technologies. As AI becomes more deeply integrated in the industry, carriers must position themselves to respond to the changing business landscape. Insurance executives must understand the factors that will contribute to this change and how AI will reshape claims, distribution, and underwriting and pricing.

    Chatbots are bound to play a more significant role in the future to come. But let’s explore how they change the customer experience while assisting your agents and looking after the smooth running of your organization.

    The rise of the automated insurance agent

    he Insurance sector has invested an average of $124million on AI and related processes, and this value is projected to rise exponentially as more investment on diverse applications is on the immediate horizon. The automation of several processes like broking, low-level claims processing, standardized underwriting is already implemented, and more automation is expected to follow.

    Automation for insurance has also helped to mechanize the repetitive tasks that once needed a dedicated workforce.

    Simplification

    With Chatbots to help lead customers to the exact information, they are seeking, or provide solutions instantly, customers no longer need to navigate the website or any other interface, saving precious time. They can simply ask or type what they need, and multi-step actions are compressed into a single command followed by the chatbot. For example, instead of searching for information on all the different kinds of health insurance that alight with a customer’s needs and then make the effort of emailing it to oneself, the customer can ask the chatbot to find, compile and email the information on his behalf.

    Streamlined process

    One of the biggest challenges for insurers is the expectation of a faster-than-ever-before timeline for claims management and approval. Customers too dread the tedious process of filling out endless paperwork, only to have their claims rejected due to incompletion or technicalities. Chatbots can be enabled to cut down on unnecessary paperwork and steps within the claims filing and approval process. As machine learning and AI technology evolve, chatbots too will be able to assist customers faster and more accurately, approving valid claims within minutes.

    Multi-tasking

    Because customers are required to put in minimal effort — they only need to ask or type their queries — they are able to leverage chatbots to do multiple things at the same time. For example, a customer can ask a Chatbot to walk them through the differences and benefits of term-life and whole-life insurances, while, say, drafting emails for another task.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    How Insurance Chatbots Help Brands

    1. Drive higher sales

    Chatbots optimize the response to user queries and reduces time to action, thereby reducing drop-offs. The click and point nature of mobile apps and the web reduce down to users asking pinpoint questions of their needs thereby increasing the efficiency of information retrieval and quicker decisions.‍

    2. Generates leads

    Chatbots are well-known for lead generation and turning up the marketing scales. They engage visitors on your website and keep them hooked with various methods like asking them relevant questions, recommending policies, and providing details. Once the visitor shows interest, the chatbot can assign an agent to them for further decision-making. They recognize hot leads and push them down the sales pipeline through proper customer engagement.‍

    3. Product selection

    Bots can also suggest policies and products based on a query-based path because it’s important to capture customer needs.‍

    4. Premium payments

    Customers can be sent alerts on renewals; policy lapses; notifications on due dates, and a lot more status information in an insurance sale or support cycle.‍

    5. Personalized customer service

    Based on AI and Machine learning, chatbots are capable of reading and memorizing user data from all their conversations and hence, personalization comes into play! Insurance Chatbots interact with the customers and collect user data like their preferences, what kind of insurance they are looking for, and so on. An insurance chatbot can work as an artificial insurance agent that recommends appropriate insurance to clients based on their requirements and lifestyle habits.‍

    6. Help in finding the right policy

    Chatbots assist clients to choose the right insurance policy. They collect large amounts of data and are able to provide all the educational support required for the consumer to understand each product. With all the collected data, chatbots are capable of tailoring products according to each consumer’s needs. After helping them decide on a product, they can further assist you in going ahead and purchasing it hassle-free.‍

    7. Manage claims and renewals

    Healthcare or employee-initiated policyholders are always eager with their claims. With the help of chatbots, they can check their coverages, how to file for a claim as well as track status. They also assist in renewal processes similarly.‍

    8. Services round-the-clock

    The insurance sector has to be available 24/7 because critical moments can strike at any hour of the day! Hence, has been a great assistance tool for not just the prospects, but also the doctors round the clock!

    Consumers can interact with chatbots at any given time, make claims, renewals, or even find details on the policy at any given time. Their easy-to-reach and 24-hour availability have made chatbots the best tool for automation in the insurance sector.‍

    According to the Global Trends Study 2017, insurance invests an average of $124 million per company in this alluring technology.
    VentureBeat report on Insurance Chatbots.

    Key features of an insurance chatbot

    Incorporating a chatbot into a company’s environment is not as easy as it seems to be. A chatbot should have several fundamental features that could allow it to function successfully.

    Many companies have deployed chatbots for insurance, but not all of them are up to standard. They have limited capabilities and can be tedious to use. In the end, customers still end up speaking to a live agent.

    The most proficient virtual assistants provide advice and go beyond the functions of an FAQ chatbot. To do so, they must know what customers want, fully comprehend the services the business provides, and be able to learn from real data to interact with customers and engage as a human would.

    Comprehensive speech recognition

    This software feature will reduce word error rates and improve machine translations. Improvements in speech and language processing technologies make chatbots more capable, expanding their potential applications across the enterprise.‍

    Perform operations

    This feature is vital in the insurance field as we expect an agent to give us the requested information and perform some actions (send quotes, open accounts, sign claims, etc.).‍

    Connectivity

    There should be a range of communication methods with customers, including web, mobile apps, messaging platforms, etc.‍

    Security

    Customers provide sensitive data to insurance companies and expect the company to follow regulations regarding privacy. Protected data is an important part that builds stable customers’ loyalty to the insurer‍

    Reliability

    A vendor should design a chatbot thoroughly so it operates flawlessly and there are no errors that can push away an insurance company customer.

    Insurance Chatbot Case Studies

    Here’s how 3 of the largest insurers in the Middle East region create fantastic experiences and drive sales through the use of chatbots!

    1. Tokio Marine Insurance Company

    Operating in the UAE market since 1976, Tokio Marine & Nichido Fire Insurance Co., Ltd., is one of Japan’s oldest and largest non-life Insurance companies. With customer trust as the foundation for all of its activities, TMNF provides the safety and security necessary to provide comfort to its customers. The UAE brand aspired to shorten its sales cycle through proactive support.

    Their chatbot, Tokio, helps customers answer their insurance requirements over Web, WhatsApp, and Messenger 24/7. The bot helps customers get quotes, track claims, and renew policies with zero human intervention.

    Currently, Tokio handles 70% of TMNF’s inbound queries. To engage global and local audiences, TMNF will extend Tokio’s capabilities by providing support in both Arabic and English.

    2. Qatar Insurance Company

    Founded in 1964, Qatar Insurance Company is the market leader in Qatar and a dominant insurer in the GCC and MENA region. As the volume of incoming queries started overwhelming their agents, they were looking for solutions that could automate query resolution 24/7 without human intervention. They were also interested in engaging customers in their preferred channels to boost lead generation and shorten the sales cycle.

    With their intelligent chatbot, Around, they were able to help customers buy policies in under a minute. The bot was deployed over the web and mobile, functioning across Qatar, Oman, UAE, and Kuwait.

    Around provides customers with highly personalized recommendations and also allows customers to renew policies and make claims without assistance from insurance agents. As a result, the number of daily users increased to over 500, and now there have been over 500,000 interactions to date.

    3. Oman Insurance Company

    Oman Insurance Company is a composite insurance company headquartered in Dubai, UAE that engages in insurance solutions for individuals and businesses in UAE, Oman, and Turkey. Since the insurance landscape was becoming digital, Oman Insurance Company wanted to dabble in solutions that could drive sales without involving agents. An idea that emerged was creating new channels of lead generation to reduce customer effort.

    They decided to opt for an AI-powered website chatbot to help empower customers to renew their policies with minimum effort. The bot also facilitated processes like buying insurance plans, making claims, etc. After seeing great success with the website chatbot, they extended the bot to WhatsApp

    To sum it up

    Chatbots in the insurance sector are able to assist people faster and make the agents’ tasks much easier. They contribute to an overall increase in the efficiency of an organization and also builds better customer relationships. The future of chatbots in insurance looks quite promising. With the growing sense of independence and self-service among consumers these days, the old methods of insurance assistance will be long gone before chatbot replaces them. Engati chatbots are getting intelligent enough to offer a varied level of experience by computing patterns of information and implying them to make interactions more meaningful, relevant, and real-time.

    It’s time to automate your business processes and drive past your competition!

    Register with Engati today and build your very own Insurance Chatbot for free!

    Don’t forget to give us your 👏 !


    Insurance Chatbot | The success story of 3 largest companies was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • A true friend who betrays all your secrets: Korean AI сhatbot turned a data protection failure

    Most Americans are unsure of how consciously companies behave while using and protecting personal info. Nearly 81% of them report being insecure about potential risks of data collection, and 66% claim to feel the same about government data collection.

    It`s really difficult to weigh the level of potential risks and understand the anticipated harm that irresponsible behavior with personal data can cause. How can this affect our further actions, what restrictions and changes will it bring?

    Let`s analyze the main points of what happens when disclosing personal data and how to properly protect yourself using the example of the recent situation in South Korea.

    Korean company ScatterLab launched a “scientific and data-driven” app, which was supposed to predict the degree of attachment in relationships.

    It relies on KakaoTalk, the most popular messenger app in South Korea that is used by about 90 percent of the population.

    So, the analysis of your romantic feelings (or their absence) costs just around $4.50 per conversation processing.
    “Science of Love” worked like this: it studied the conversation and based on certain factors (such as average response time, how often the companion writes to you first, the fact of some trigger phrases, and emotions usage) gave a conclusion on whether there is a romantic connection between the interlocutors of the dialogue.

    You can say “Come on! Does anyone know that better than your inner sensation? How an app can be aware of what is going on in a person`s head or heart while they are texting you?” Well, there is some common sense here.
    But the fact is that by June 2020 Science of Love had received about 2.5 million downloads in South Korea and 5 million in Japan, and was preparing to expand its business to the United States.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    So, let`s reveal why does it become so popular among Korean guys and girls?
    “Because I felt like the app understood me, I felt safe and sympathized. It felt good because it felt like having a love doctor by my side,” one of the users tells in the review.

    In December 2020, the company introduced an A.I. chatbot Lee-Luda.

    As a well-trained AI consultant, the bot was positioned, taught on more than 10 billion conversation logs from the app. “20-year-old female” Lee-Luda is ready to set a true friendship with everybody.
    As the company`s CEO mentioned, CEO the purpose of Lee-Luda was to become “an A.I. chatbot that people prefer as a conversation partner over a person.”

    Just after a couple of weeks of the bot launch users could not help but pay attention to the harsh treatment and statements from the bot towards certain social groups and minorities (LGBTQ+, people with disabilities, feminists, etc.).

    The developer company, ScatterLab, explained this phenomenon by the fact that the bot took information from the basic dataset for training, not from personal user discussions.
    Thus, it is clear that the company did not properly filter out the set of phrases and profanity before starting the bot training.

    The developers just “failed to remove some personal information depending on the context,” (Well, it is what it is).

    Lee-Luda could not have learned how to include such personal information in its responses unless they existed in the training dataset.
    But there some “good news” as well: it is possible to recover the training dataset from the AI chatbot. So, if personal information existed in the training dataset, it can be extracted by querying the chatbot.

    Still going not so bad, huh?
    To make things worse, ScatterLab had uploaded a training set of 1,700 sentences, which was a part of the larger dataset is collected, on Github.
    It exposed names of more than 20 people, along with the locations they have been to, their relationship status, and some of their medical information.

    ScatterLab issued statements of clarification of the incident intended to soothe the public’s concerns, but they ended up infuriating people even more. The company statements indicated that “Lee-Luda is a childlike A.I. that just started conversing with people,” that it “has a lot to learn,” and “will learn what is a better answer and a more appropriate answer through trial and error.” However, is it ethical to violate individuals’ privacy and safety for a chatbot’s “trial and error” learning process? No.

    Despite the fact that this situation has become a high-profile event in Korea, it has not received attention on a global scale (and we think quite unfairly).
    It’s not about the negligence and dishonesty of the creators, this incident reflects the general trend in the development of the AI industry. Users of software based on technology have little control over the collection and use of personal data.
    Situations like this should make you think about more careful and conscientious data management.

    The pace of technology development is significantly ahead of the adoption of regulatory standards for their use. It is hard to foresee where the technology will lead us in a couple of years.

    So, the global question is “Are AI and tech companies able to independently control the ethical component of the used and developed innovations?”.
    Is it worth going back to the concept of “corporate social responsibility”? And where is this golden mean (Innovation VS Humanity)?

    Also available in audio format here.

    Don’t forget to give us your 👏 !


    A true friend who betrays all your secrets: Korean AI сhatbot turned a data protection failure was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Multilingual Support: Scale Customer Experiences Globally

    It is said that the language keeps changing every 100 miles you travel, irrespective of your demographics or direction. But, when it comes to expanding your business globally, you need to be capable of communicating in multiple languages no matter what your geographical location is. Businesses are now able to see the benefits of being multilingual while communicating with global customers as they expand their territories for revenue growth.

    Since multilingual capabilities are not possessed by every human agent communicating with customers, business strategists are now targeting to deploy AI-powered intelligent chatbots into their support system. These multilingual chatbots are capable of supporting vernacular languages that help businesses to expand their global customer base to the regions where English is not a primary language.

    According to a survey by Oracle, when asked which emerging technologies they are already using, 80% of respondents said they have already used or are planning to use AI-powered intelligent chatbots by 2021.

    The survey showed that business leaders are preferring to dote on AI automation technologies, which includes chatbots, for sales, marketing, and customer service. 42% of the participants believe that AI-powered automation technologies in these areas will augment the CX curve for their businesses. Also, 48% said that they are already using chatbots for their business functions, with 40% planning to implement some form of cognitive AI-powered technology by 2021.

    Although complete automation of the customer service workforce is not feasible, automating customer management and sales positions using AI chatbots in the US would result in considerable savings. According to Public Tableau, 29% of customer service positions in the US could be automated through chatbots and other cognitive AI-powered IVAs that estimates upto $23 billion in savings from annual salaries.

    While AI-chatbots will become omnipresent in the next few years, multilingual capabilities will further help businesses to drive growth.

    What is a Multilingual Chatbot?

    A Multilingual Chatbot is an AI-powered intelligent virtual assistant (IVA) that allows businesses to communicate with users speaking various local and regional languages other than English. Conventional chatbot technology has a limitation of conducting a conversation only in one specific language. Multilingual Chatbots are interactive software platforms that reside in apps, live chat, email, or SMS, and can communicate with customers in the languages they are most comfortable with.

    For example, if your business is in the US and you are planning to open a market in Asia, your website might have a chatbot that communicates in English, but not everyone in Asia speaks English. While it is helpful for US customers, the chatbot’s inability to communicate in other languages will hinder companies’ growth in Asia. All this results in the multiplication of efforts, time, and costs.

    Multilingual chatbots are capable of communicating in multiple languages — not just translating the dialects. Gone are the days where multilingual meant “Translate and Understand”.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    Building multilingual chatbots requires more than just processing text or dialogue in English through a language translator. To effectively communicate in multiple languages, a chatbot must be aware of the end-users’ culture and able to understand regional nuances. This can be done using AI NLU models.

    Natural language understanding (NLU) is a branch of artificial intelligence that uses these intelligent chatbots to understand input made in the form of text or speech, and respond in the same manner and context.

    In NLU, machine learning models improve over time as they learn to recognize syntax, context, language patterns, unique definitions, sentiment, and intent. Business applications often rely on NLU to understand what people are saying in both spoken and written language. It helps them provide a personalized response to their customers that improves the end-user experience.

    With consistent development in Artificial Intelligence technology and Natural Language Understanding (NLU) models, building a multilingual chatbot is no longer a big deal. However, staying on top of the emerging AI technologies is the real need of the hour for business leaders who see it as a topmost priority.

    Why is it needed?

    While translator services are rapidly improving their capabilities to detect and translate, Natural Language Understanding (NLU) services are much ahead of the curve in language processing. The growing demand for language and locale understanding capabilities in chatbots is driving the continuous evolution of these services.

    Business studies suggest that most customers, in spite of being multilingual, prefer to interact with your brand in their native language. In order to localize a brand, one must ensure that customers can interact in a language they are most comfortable with. Multilingual chatbots are thereby the most efficient and cost-effective answer to meet this demand. Here are a few reasons why a multilingual chatbot becomes a priority for global businesses:

    Benefits of a Multilingual Chatbot

    Multilingual chatbots help businesses stay ahead of the curve in terms of customer service experience. Contact centres leveraging multilingual chatbots help and troubleshoot problems for customers in a language that they are most comfortable with. A multilingual chatbot can seamlessly switch between languages, hence enhancing and personalizing the customer service experience.

    Here are the key benefits of using multilingual chatbots:

    1. Save Costs — Considering the difficulty in recruiting resources of varied language proficiency, businesses end up saving a lot of money by deploying multilingual chatbots. Companies still spend a huge amount of money on hiring multilingual staff to connect with the local customer base, which is not an efficient approach. Hiring and training resources incur more expenses to the business. Therefore, implementing a cost-efficient solution becomes the primary priority for decision-makers. Multilingual Chatbots make it possible for them.
    2. Improve CSAT: Offering multilingual support doesn’t just drive CSAT scores, it can even impact churn. According to a recent research, 29% of businesses say they’ve lost customers because they don’t offer multilingual support. Additionally, 70% of end-users say they feel more loyal to businesses that provide support in their native language. A multilingual AI chatbot interacts with your customers of different local languages without any error. Multilingual chatbots are trained to answer repetitive queries in any language without skipping any important information. It’s going to stay 24/7 available and provide customers with the best possible experience.
    3. Convert Leads Globally: With 57% of global companies already adopting Conversational AI technology, the percentage is way lower when it comes to adopting multilingual AI chatbots. So, there is a strong possibility that your competitors have still not adopted a multilingual chatbot. If so, deploying an AI-powered multilingual AI chatbot can easily be your deal-breaker. If you’re planning to go global and you have already deployed a multilingual AI chatbot that can communicate in 40+ languages, half of the lead-generation battle is already won.
    4. Develop Local Customer Base: An AI-powered intelligent chatbot that converses in the local language can take customer communication to a next level. According to an article by Inside Intercom, 35% of end users would even be willing to switch products to one that offers support in their native language. As a result, most of the businesses are adopting localization strategies to expand their customer base and drive engagements in the local language. Localization means customizing your product/service offerings according to the demands and expectations of the local customers. For businesses willing to invest and adopt a comprehensive multilingual AI chatbot localization strategy, the payoff turns into a success story.

    NLP: The Technology Behind Multilingual Chatbots

    It is evident that for Conversational AI technology to be truly successful, it should be able to interact with users in the language they are most comfortable with. Most multilingual chatbots are either programmed with a sophisticated NLP engine that helps them identify language, or more commonly, a bot designer platform that redesigns and trains the chatbot to interact in that specific language. Natural Language Processing allows a machine to understand what we say in our natural language. That is, the way we naturally speak, with slang, abbreviations, mispronunciations and so on.

    Key Capabilities that NLP provides:

    • NLP allows chatbots to understand voice input as well as text.
    • With NLP technology, the chatbot doesn’t need the exact correct syntax to understand customer’s expectations.
    • On the basis of its programming mechanism, it can auto-detect languages, context, sentiment, and intent.
    • Chatbots can either process their response through its NLP engine, or by analyzing customer’s browser preferences.

    Final Thoughts

    Chatbots have gained attention worldwide, and with the help of evolving AI and NLP technology, they are expected to become even more empowered in the coming days. With a number of businesses trying to use AI-powered chatbots in different innovative ways, building multilingual chatbots helps businesses connect with a wider and more diverse audience, in fact globally.

    For an AI chatbot to be well-received and widely used, it is important that it can convincingly converse in a language that is most convenient to the customer. And since the business landscape has become largely global, multilingual communication has become a topmost priority. This is because an AI-powered multilingual chatbot solution can give wings to the customer experience transformation initiative and improve overall ROI for your business.

    I hope this article helped explain how AI-powered multilingual chatbots stand out in the crowd. Designed by Haptik, these chatbots have been assisting brands to have more efficient and meaningful conversations in the language customers prefer. And it would be fair to say that the next generation of Conversational AI is at your doorstep and it’s time to embrace these impeccable AI-powered chatbot solutions.

    Reach out to enterprise@haptik.ai to learn how Haptik can help your business!

    Want to develop an Intelligent Virtual Assistant solution for your brand?

    GET IN TOUCH

    Don’t forget to give us your 👏 !


    Multilingual Support: Scale Customer Experiences Globally was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Is there a way to use personaloty forge?

    Its my personal favorite chatbot platform and i want to know if theres a way to use it or how long its sown for?

    submitted by /u/moistboi27
    [link] [comments]

  • Help me find this thread!

    So a couple years back (2017) Facebook made this Christian grey chatbot that was literally programmed to get weird (they thought it was sexy) while you messaged him. I remember stumbling across this thread of screenshots from a messenger conversation with said bot. This person had started talking to Christian grey pretending to be her pet lizard! It was so funny I was on the floor cry laughing! I had screenshots on my old phone but have since lost them and I remember her at one point describing the lizards head as a dorito chip! I really want to find this post again. I try to explain it to people but they never understand how funny it truly was. I hope y’all can find it. Thanks for any help!

    submitted by /u/TheRealDezzmonster
    [link] [comments]

  • A quick guide on conversation management and how to build a chatbot?

    Employee 1: Don’t you think we need a chatbot?

    Employee 2: Do we?

    Employee 1: Well, it’s trending and every other company has one.

    Employee 2: Is it really that important? Do we really have the budget and resources to manage it?

    If you have had this conversation with someone “You are not alone”

    The pressure to stand out and be relevant in today’s market is real

    And so is the “shiny object syndrome”

    Taking these decisions can get overwhelming and finalizing the tech stack is usually very hard

    But we’ve got you!

    Let’s demystify everything Chatbot!

    First, let’s understand

    What is conversation management?

    “Conversation + Management”

    The conversation is a talk between two people, just like I am talking to you…Yes, YOU!

    Management is organizing anything to achieve a goal; just like I have organized this article in sections to help you understand.

    When these 2 are put together they simply mean “Organizing talk between people to achieve a goal.”

    Now all this is great but how does one achieve conversation management in a business to get results. That’s where AI came into the picture and from there emerged Chatbots.

    In this article we will go through the following:

    • What is a chatbot?
    • How many types of chatbots are there?
    • Why do we need chatbots?
    • Are chatbots the solution to seamless customer service?
    • What is chatbot architecture?
    • How to build a chatbot?
    • Which platform to choose for building chatbots?
    • Why Quickwork Chat?

    What is a chatbot?

    A chatbot is an array of code built to perform certain actions without the need for human assistance. This is an artificial intelligence software that can chat/talk/type with you just like a human would using Natual Language Processing (NLP) as your mobile assistants like Siri or Google, through an AI-powered speaker as Alexa, as a website chat widget, and much more.

    What kinds of chatbots are there?

    We primarily deal with 2 types of chatbots in our daily lives:

    1. FAQ Bot: Now do you remember chatting on a website and being presented with a list of options to choose from? Well, the options you see are nothing but frequently asked questions that the bot has been pre-fed with along with the responses. These types of chatbots are very useful to establish trust and authority as a thought leader with your customers. FAQ chatbots are a great way for a business to enhance customer experience while saving time and money on the dedicated resource to cater to these queries plus it is available 24/7.
    2. NLP or Contextual Bot: Now try to remember your conversation with a food delivery chatbot? Did it remember what you had ordered last? Did it ask you to just repeat your order instead of asking you to again choose from the menu? These are NLP Bots, which utilizes Machine learning (ML) and Artificial Intelligence (AI) to learn and grow with every conversation. These capabilities allow them to provide customers with a more natural and personalized experience. It’s just like talking to a human agent.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    Are chatbots the solution to seamless customer service?

    Now contrary to popular belief chatbots/chat robots are not our enemies or going to eat up our jobs. Chatbots are not only proving to be the way to provide enhanced customer support but also cost-effective and enabling brands to build trust, retain and engage customers.

    Everyone has a voice and the power to share their opinion everywhere online. Social media is now a powerful way for brands to communicate with customers. Even from pre-sales to post-sales, your customers can have a million questions on their minds, with little patience to get them resolved.

    In today’s complex, high-tech world, customers expect reliable, responsive customer service. In fact, according to a report by Valero, we can’t afford to wait more than a minute to get answers to our questions. Automation can help you improve your customer interactions and provide customers with an immediate solution.

    Automated chatbots: The solution to seamless customer service

    1. Operational efficiency: Chatbots help in streamlining the customer service cycle and respond to customer queries in real-time. Thus reducing the call volumes and improves the TAT of customer queries.
    2. Customer experience: ‘Customer is the king’- this phrase stands true to its last letter in today’s world where everything is customer-centric. And let’s be honest even when we are on the other side of things we hate waiting for a response and want our queries resolved immediately and if they aren’t catered to as per our schedule or as promised we either lash out on them or share negative reviews on social media.
    3. Scale-up operations: Now imagine a turnout of even 20 customers at the same time and you have a customer support team of 5. What is this going to do? The 15 waiting in line for something super urgent are definitely not going to be happy and some of them might have a very simple query that only requires 30 seconds but since there are only 5 of you and 20 of them, they will have to wait for their turn. Now imagine having a chatbot catering to 60–70% of these queries and only the rest very critical ones being passed over to the customer support agent. This not only increases productivity but also the quality of interactions.

    Chatbot architecture:

    Chatbot architecture is what brings the chatbot to life. The usability and context of business operations is the deciding factor of how much architecture of the chatbot would change.

    Key components of a conversational chatbot architecture:

    • Environment
    • Question and Answer System
    • Plugins/Components
    • Node Server / Traffic Server
    • Front-end Systems

    Now you might say all of this is great but how to build a chatbot? How do I know which platform to use? Isn’t it expensive and when I do will not have to spend a lot of my time and effort on managing the conversations?

    Let’s start with the platform:

    On a real-time iPaaS like Quickwork Journey Builder, you can build a workflow and connect your messaging platforms like WhatsApp, Facebook Messenger, Quickwork Chat, etc. to create any type of chatbot within no time.

    Here’s a demo on how to build a chatbot from scratch on WhatsApp:

    You can also visit our Youtube page for more such videos on how to create a chatbot: https://www.youtube.com/c/Quickwork/

    Now you must be thinking, I have built these automated chatbots how do I manage these conversations that are going to come my way, how do I assign these conversations to my human agents after I deploy these automated chatbots?

    Enters, Quickwork Chat:

    Quickwork Chat is a messaging platform that creates awesome and best-suited virtual assistants and human-agent services for you. From FAQ bots, social messaging, and quick reply bots to context enabled chatbots, Quickwork Chat is the most reliable and efficient to serve the assistant service for your customers seamlessly.

    The chatbots — multi-lingual in nature — create a live user experience and help answer queries using AI in real-time.

    Quickwork Chat features:

    Introduction to Quickwork Chat GUI:

    Combine Quickwork Journey Builder with Quickwork Chat and you get a combination of automated chatbots and a conversation manager for effective customer service.

    On Quickwork Journey Builder you can build automated chatbots on messaging platforms like WhatsApp, Telegram, etc., and then connect them with Quickwork Chat to bring in that human support that your customers need.

    The Multichannel feature allows admins and agents to communicate with customers available on any of the above-mentioned messaging platforms and enables them to view all the conversations in real-time on a single dashboard.

    On Quickwork chat you can also build a live chat website widget and manage its conversations, Here’s a quick 2-minute tutorial on how to build a chatbot for a website:

    You might be more concerned about getting started than about its functioning. You don’t need to worry because Quickwork provides customized solutions for companies that want to use chatbots as an automated customer service tool. With our team of experts, we can integrate your chatbot into a web portal or an app, and program it with natural language processing and natural language understanding capabilities.

    Once live, the chatbots look and act as an integral part of your online business. In addition to the great visual appeal and features that Quickwork Chat offers, it provides a lot of value.

    You can upload images, files, videos, audio, locations, and more. You can also share messages to provide customers instant answers to their questions through Quickwork Chats’ messaging system. With an easy-to-use conversational interface and a bot-to-human agent hand-off feature, Quickwork Chat makes it easy for businesses to engage customers when they need it most.

    Conclusion:

    Chatbots are the most modern way of communicating with customers. Using any kind of chat app, you can reach thousands of customers by speaking to them directly. How many times have you been checking the comments left on your Facebook page or Instagram? If you find yourself scrolling through pages of hateful remarks, there’s a really easy way to combat them. Chatbots will even monitor your online reputation and help you to keep track of the comments you’re receiving.

    Keeping track of customer queries and building a reliable, seamless method for resolution is key to innovation in the field of customer service.

    An integrated customer service platform provides helpful information and a smooth path for customers to explore your offerings. An intelligent customer experience can turn your customers into advocates of your products and services.

    If you want to know more about chatbots and how they can help your organization don’t think much just…

    Schedule Demo

    Don’t forget to give us your 👏 !


    A quick guide on conversation management and how to build a chatbot? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Step by step guide to building a Facebook chatbot without any coding.

    What is a Facebook Chatbot?

    A chatbot is an AI conversational program that you can use to chat with your customers/visitors on your behalf with pre-programmed responses. The conversation happens on Facebook-based platforms like Messenger. It aims at helping users with the necessary support in seconds.

    While we have understood what these chatbots are. Now we also need to know how companies are using chatbots on Facebook to improve their social strategy.

    How To Use Facebook Messenger Chatbots?

    Using a facebook chatbot to assist marketing

    With the availability of chatbots on Facebook, one can use such chatbots to generate leads via advertising. The basic idea of these chatbots is to automate the interactions and assist the target users with the requisite information. Before the availability of such chatbots, we often failed to respond to our prospects in real-time and engage them. Now this challenge seems to be solved.

    Improve your customers journey

    Today’s Facebook chatbots have the capabilities to assist the shopping journeys. With several functionalities in areas of security, rich media messaging, and FAQ-based automation, assisted service has become a reality. This can become the ultimate reason to use chatbots for every shop owner. This can make the social buying journey a lot easier and meaningful too.

    Improving your brand awareness

    One can start initiating an active conversation the moment visits your profile page. Before these messenger chatbots, it was always a passive method of communication. We always had users who often looked for something and closed the tab quickly if they didn’t find it at once. Now expect to have a fruitful discussion with all your relevant visitors, and you can initiate the conversation too.

    While you have understood the usage of your chatbot, it is essential to know what to keep in mind while writing chatbot messages. This is one of the most critical steps in building a Facebook chatbot.

    Facebook Messenger Chatbot Best Practices

    The objective of every customer support team is to have a list of super-effective messages. Here are some of the best tips we have got from some of the best customer support professionals.

    Don’t overdo it with the text

    The bot should never have more than messages without taking input from the user. It is good to respond even with humor sometimes but has to be a two-way communication at all times. So make sure you have a conversation with the visitor and not an email like a conversation.

    Use emojis as required

    Try to have less formal communication with your visitor as they are on a social platform like Facebook with you. Adding emojis can make their experience better and a lot friendlier. It will make the conversation shorter and with fewer words too.

    Use breaks between messages

    Avoid using large blocks of text or swamping users with too many messages right on their visit or raising a query. It is crucial to have a human-like conversation at all points in time. In case you find it’s getting complicated, always have the option for the users to switch to human-bot handoff.

    Include smart messages

    As mentioned above, having a more authentic conversation is supercritical. So with rich messaging, buttons, images, GIFs, and videos, you can add humor to your bot and engage your audience for a longer time.

    Always have an option for a user to exit or human handoff

    It may happen that your user is not ready to speak to the bot for long. Instead of forcing her, you can always call for real human interaction. The easiest way to do so will be to have the same in the quick menu.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    How To Create A Facebook Chatbot?

    Step 1: Building your chatbot

    • Sign up for Kompose, a GUI bot builder based on natural language conversations for Human-Computer interaction. You don’t need any coding skills to master Kompose. It has a simple, intuitive, and easy-to-use interface. Sign up here.
    • Go to the Bot integrations section and use the “Create a Bot” option to start creating one.
    • Name your bot, set its language (as Kompose supports most used languages), and click save.
    • Create your first welcome message and embed Texts, Buttons, Images, or other rich media types.
    • Create answers for the bot. Define the intent that is possible and mention the phrases that you expect will trigger the communication. With time your bot will learn.
    • If you don’t want to create your chatbot from scratch, you can use one of the available chatbot templates also.

    One can continue to improve the chatbot with time by adding more phrases with time and defined buttons.
    For a quick understanding, have a look-

    Step 2: Integrating facebook with kommunicate

    • Visit the integration section and click on Facebook
    • Once you click on Settings, a pop-up will come that requires you to login on to your Facebook fan page.
    • Login our your Facebook account from the admin account and complete the process.
    • Once your integration is complete, you will be able to see the success message as mentioned below.

    Step 3: Testing your kommunicate bot in facebook

    Kommunicate has successfully integrated with Facebook, so you can start sending messages to your Facebook Page. The messages will also be sent to your Kommunicate dashboard, and the integrated chatbot will begin replying to the same.

    This how it will look on the Kommunicate Dashboard.

    This article was originally published here.

    Don’t forget to give us your 👏 !


    Step by step guide to building a Facebook chatbot without any coding. was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.