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  • How Can Chatbots Boost Your Company’s Digital Transformation

    As the world becomes more digital, businesses must keep up with this evolution and adapt to new technologies. To do this, various industries need to invest in digital transformation. And one simple way to drive this transformation is through chatbots.

    Keep reading this article to learn more about digital transformation, how a chatbot can be a great tool to improve your services and increase your customers’ satisfaction and experience.

    What is Digital Transformation?

    Surely, you have heard of digital transformation.

    This concept is related to companies that want to reach further and stand out from the competition.

    The world is a place where communication and globalization are increasingly emphasized while at the same time making a certain topic known.

    But what exactly is digital transformation? — you ask.

    Well, digital transformation, as the name might imply, is the adaptation of an entity (company) to new technological trends, thus becoming more digital and innovative.

    The integration of new technologies totally changes the way products/services are offered to consumers, which they highly value.

    Users are more demanding and losing interest in companies that do not keep up with the times.

    The updating and investment in innovative solutions are fundamental to have global satisfaction, both from customers and employees.

    Which areas should you transform digitally?

    Digital transformation cannot occur in just a certain part of a company.

    Have you seen what it would be like if half your employees benefited from the perks of new technology and half didn’t? Or that customer service was all revamped, but on the other hand, you had your employees in less advantageous situations?

    That wouldn’t be good, right? Then the answer is simple. Do a general upgrade, even if it’s in phases. But don’t leave anyone out.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Internally

    As we have already mentioned, you must make your employees happy in addition to your customers.

    Improving the quality of work of your employees is crucial. So invest in solutions that improve their performance. Namely, machines that perform the most physically demanding tasks, for example.

    In retail companies, for example, try to upgrade the production lines for your products.

    Externally (Customer Support)

    Your customers expect you to always be on top of the latest trends, both in products and service.

    No one has time to wait around anymore. People want to be attended to immediately. And if not, they will turn to other solutions.

    Besides, if they can solve their problems themselves, without having to talk to someone else, all the better.

    Self-service is a trend that will not disappear any time soon, and any service will use it.

    Digital Transformation with Artificial Intelligence

    Today, any company that wants to offer a higher level of service turns to Artificial Intelligence.

    Artificial Intelligence is the field of Computer Science that enables machines to simulate reasoning and perform human activities.

    According to Andrew Ng, AI is the new electricity. By this, the computer scientist and professor at Stanford means that it’s as important to the present day as electricity was when it was discovered.

    It’s a matter the world can no longer live without and is indispensable to its progress and evolution.

    Online shopping and advertising

    Strategies with AI used in retail are exciting, as they allow brands to offer a more personalized service to each customer.

    Web Searches

    It’s already known that only the best blog posts/articles appear in the first positions in search engines. But how do we know which are the best?

    This work is done by AI bots that automatically check all sites to deliver the best results.

    AI can be a good strategy when the topic is SEO (your website’s performance in search engines). Learn more here! Automatic Translations

    It may be one of the most used services in the world. Instantly, it has the translation from one language to another, with a very high degree of correctness.

    At first, programs like Google Translate had their limitations and were not very efficient. But as their knowledge bases grow and they have a greater volume of data to analyze, they become more and more correct.

    NLP is a technology used for machine translations. Learn more about this branch of AI here! Cyber Security

    AI-powered systems can help recognize and counter threats to systems by recognizing patterns and mapping attacks.

    Combating Misinformation

    Just like the previous point, to combat disinformation, we can use AI. That is, nowadays, anything can go viral. This can be great for spreading information, except when it’s incorrect and baseless.

    The role of Artificial Intelligence, in this regard, is to prevent and combat false information from spreading.

    In a way, this use of AI was driven by the coronavirus pandemic, where anyone had their theories about the cure and prevention methods.

    Virtual Agents

    Probably the best-known use is virtual agents or chatbots.

    These systems are process optimization and automation solutions that are more and more implemented in companies with large contact volumes.

    Digital Transformation with Chatbots

    Chatbots, being virtual agents, help optimize your company’s services, both internally and with the customer.

    The implementation of more digital solutions enhances growth and increases the satisfaction of your customers and employees.

    1) Customer Service

    Investing in automation solutions such as chatbots is a key step if you want your institution to stand out from the rest, especially in customer service.

    One of the most frequent complaints from consumers is the time they wait to be attended to.

    So, if the waiting time is a factor to be taken into account and you suffer from this problem, maybe investing in a chatbot is not unreasonable.

    Instead of keeping the user waiting, let them deal with their problems by themselves, and only if they can’t solve them, refer them to a human assistant.

    Many of the questions received by contact centers are repetitive and easy to solve. That said, there is nothing like a chatbot programmed and trained to answer your customers’ most frequently asked questions.

    2) Sales Support

    In addition to customer support, a chatbot can be an essential solution to help you in pre and post-sales.

    In pre-sales, it can help educate your prospects about your brand or make suggestions for services and products that complement what they are purchasing.

    On the other hand, it can be an option for problem-solving in the post-sale, such as complaints or other situations.

    3) Lead Generation

    A virtual agent is also a great marketing tool. Especially in the world we live in today, where social networks and digital channels are some of the biggest means of expansion and propagation of brands.

    Implementing a chatbot on the digital channels your customers use the most or your persona is on is a great strategy to expand. And, at the same time, start creating a connection with your target audience.

    For example, program your chatbot to greet and introduce your product to people who pass through your channels.

    Learn about the benefits of adopting various digital communication channels here.

    4) Collecting Analytics

    One of the most interesting features of a chatbot is the metrics collection.

    With these communicational agents, in addition to assisting your customers, they can gather information about them, namely demographic data, the product they are most interested in, etc.

    5) Internal Relationship

    Besides customer service, you can also implement a chatbot internally. That is, for employee support.

    This implementation can increase the satisfaction level of your team and, simultaneously, create and maintain greater proximity between employees and the company.

    Articles you might be interested in:

    Visor.ai Helps You with Your Company’s Digital Transformation

    Visor.ai offers solutions for chat and email automation. Both use Artificial Intelligence.

    Visor.ai’s chatbots and email bots are easy and fast to implement. They come with a low-code platform, where you can customize and edit your bots autonomously.

    Because they are cloud-based solutions, we can implement them remotely into the platforms you already use-namely, CRM systems such as Salesforce, etc.

    Besides, Visor.ai follows all privacy policies, ensuring the security and privacy of your company’s and your users’ data. It also offers the possibility of VPC (Virtual Private Cloud).

    To learn more about the VPC offer and its benefits, click here.

    If your goal is to make your company more technologically advanced, talk to us and you will see how easy it is to stand out from the competition!

    Don’t forget to give us your 👏 !


    How Can Chatbots Boost Your Company’s Digital Transformation was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • RPA and Chatbots: The Most Incredible Combination

    Because they are related to automation, people may think that RPA and chatbots are the same thing, but they are not. In this article, we clear up all the doubts about what they are, what each one does, their differences, and some use cases.

    Automation with Artificial Intelligence

    Humans have long tried to find ways to automate repetitive processes that become monotonous.

    More than ever, process automation is crucial to the evolution of industries.

    Utilities, manufacturing, energy, finance, healthcare, and most industries have already adopted some form of automation, and it is towards a more automated world that we are moving.

    An area closely associated with automation is Artificial Intelligence (AI). This gives machines the ability to perform tasks that humans once performed. In addition, it allows us to simulate some of our reasoning.

    What is RPA?

    RPA stands for Robotic Process Automation. It’s an Artificial Intelligence technology that, as the name implies, uses software robots to automate certain tasks.

    RPA is one of the most popular AI tools, as it allows companies with older systems to optimize workflows and reduce costs.

    How do RPAs work?

    As we already mentioned, RPA robots take charge of repetitive digital tasks, such as filling out forms or copying and pasting information. To do this, these robots access information from your IT systems.

    RPA solutions can be of three types:

    • Attended RPA: is an assisted automation, where the robot works under supervision.
    • Unattended RPA: is independent automation. That is, it does not require human intervention. However, it is controlled by other software systems.
    • Hybrid RPA: is a combination of the two previous types.

    Regarding the tasks that each type of RPA performs, the first case is used to complement human tasks, and the second is more used for tasks that involve repetition and large volumes of data.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Which is the best option for you?

    Well, that will depend on the actions you want to automate in your company.

    If they are to support your employees, assisted RPA is probably the best option.

    If you want to automate large volumes of information, unattended RPA is the solution.

    And Chatbots? What are they?

    You already know what RPAs are, now is chatbots’ turn.

    Chatbots are conversational robots, also known as AI bots, conversational AI, or virtual agents. They are chat systems generally used in companies to automate and optimize their Customer Care services.

    They are systems that also use Artificial Intelligence, recognizing the requests made by users and giving them an answer.

    When the questions are more complex, they forward the customer to Live Chat, where the customer is assisted by a human assistant who helps him solve the problem.

    Find out here which is the best option for your company: Live Chat or Chatbots!

    What are the Differences between Chatbots and RPA?

    Although chatbots and RPAs are automation solutions, they are quite different.

    One of the differences that stands out the most is that chatbots can communicate with a person, while RPAs are not.

    RPAs, unlike virtual agents, do not have any language recognition technology associated with them, so it is not possible to communicate with them.

    Therefore, as we have already mentioned, they are ideal for back-office tasks that do not involve interactions with third parties.

    Confronting one solution with the other, we can see the following differences:

    RPA

    • No linguistic knowledge
    • The goal is to automate processes
    • Focused on back-office processes
    • Receives structured information
    • Supports IT teams

    Chatbots

    • Has linguistic knowledge
    • The goal is to automate conversational processes
    • Focused on clarifying user doubts
    • Receives different forms of information
    • Support for business teams

    Why Implement RPA and Chatbots in your Company?

    Now that you know what RPA and chatbots are and their differences let’s see what you gain by having these two automation solutions. And how, together, they can be an asset to your company.

    8 Advantages of RPA Solutions

    Speed and Consistency

    People once carried out the processes that are currently performed by these bots.

    They usually involve large volumes of information, and to have reliable results, high levels of attention are required. In other words, the degree of error due to human failure can also be high, as can the time it takes to process the data.

    However, RPA technology allows these procedures to be performed quickly and with low error levels since a bot can perform the same task over and over again without going off schedule.

    Cost-effective

    Besides being fast to perform repetitive tasks, they are cost-effective solutions.

    Since there are no failures, there is no need to repeat procedures. So you save money. And even if you have to start from scratch, it’s much faster and again saves resources.

    Increased Productivity of your Employees

    As we have already mentioned, RPA enables the automation of repetitive and monotonous processes that were once performed manually.

    Without the need to occupy your workers with these procedures, you have a freer and more focused team on more complex and less repetitive processes.

    In this way, your team’s performance level increases.

    Increased Customer Satisfaction

    Although RPA solutions are implemented for back-office tasks, they also have an impact on your customer satisfaction levels, since they allow you to offer a higher quality service.

    Therefore, in direct relation, you have more satisfied customers who will certainly be loyal to you.

    Versatility and Connection between several Systems

    RPA technology is very versatile, as it can be implemented and have various applications depending on the industry.

    For example, in the financial sector, it can automate information validations, create reports for customers, form filling, among others.

    Another example, in the retail industry, you can automate the extraction of product information or automatically update the inventory on your website.

    Improved IT management and support

    Because RPA improves the operational quality of the back office and monitors your network, it allows you to deal with potential problems in less time and therefore without requiring extraordinary resources.

    What your Company Needs is a Chatbot with RPA!

    The benefits of RPA and chatbots are very similar. However, and as we have already pointed out in the section on the differences between the two solutions, chatbots have the ability to understand and communicate with their users.

    Still, it’s possible to merge the two solutions and create RPA Chatbots.

    RPA Chatbots combine the processes automation of RPA and the communication capabilities of chatbots with Artificial Intelligence.

    For example, while the chatbot talks to your customers, the RPA bots gather information from external systems. This way, you can offer an even more complete service without overloading your employees.

    Moreover, if you have an internal chatbot to support your employees, you don’t need your staff to learn how to work with different platforms.

    Just provide them with a chatbot in which they ask for information, and the RPA bots linked with your chatbot will gather that same data.

    Furthermore, users can, for example, request updates from CRM systems, among others.

    This saves time and makes your team’s work more efficient!

    Want to enjoy the benefits of automating your processes and communications? Let’s Talk!

    Don’t forget to give us your 👏 !


    RPA and Chatbots: The Most Incredible Combination was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • PersonalityForge AI

    Hi all, I was curious as to how the AI works on PersonalityForge. What does the rating mean? There’s also a thing for AI to “remember” you but I’m unsure of how that works, it didn’t seem to when I reloaded the page on mobile.

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

  • Chatbot Design Framework/Library for React?

    I’m building a chatbot builder that allows users to drag and drop boxes with expressions, intents, and responses that later gets summarized into a JSON file for the backend server to process and create the chat bot. Assuming the NLP stuff and bot creation process is all done already (i.e if you feed it a JSON it spits out a chatbot), is there an open source library or framework for creating that tree structure + drag and drop model?

    submitted by /u/Jpark9061
    [link] [comments]

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

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

    Implementing a Conversational AI solution is integral for businesses that want to improve their Customer Experience. With the right strategy, you can engage with customers in human-like conversations while being cost-effective. However, with a plethora of solutions available, most CX and Digital Transformation professionals get confused between ‘chatbots’ and ‘intelligent virtual assistants’.

    The principal question being — can ‘chatbot’ and ‘Intelligent Virtual Assistant’ be used interchangeably? Or does their scope, complexity, and capabilities vary?

    Simply put, Intelligent Virtual Assistants (IVA) are evolved chatbot solutions to serve the needs of a modern-day enterprise customer. Chatbots are simple rule-based systems that can only handle simple, routine FAQs. On the other hand, IVAs are advanced AI solutions — equipped with NLU (Natural Language Understanding) . NLU helps them understand and retain context for smoother conversations while carrying out a wide variety of tasks to fulfill a user’s requirements.

    Let’s drill down deeper to understand the key areas where IVAs bypass the capabilities of a Chatbot:

    #1 IVAs can understand user queries better

    When it comes to understanding queries, chatbots have a very limited scope as they respond from pre-defined scripts. IVAs possess the ability to learn over time and adapt to context for free-flowing chats. Moreover, chatbots use open-source NLP that are not trained to understand complex sentences with any industry or brand-specific queries. This leads to further bot breaks and heavier load on Live Agents creating a vicious cycle of poor Customer Experience.

    Haptik leverages our own proprietary NLP engine to cater to domain-specific intents and trained on 4 billion+ conversations. As recognized globally at EMNLP 2020, Haptik NLP wins in terms of accuracy against multiple open-NLP libraries like Dialogflow, Rasa, LUIS.

    Here are some proven use-cases where Haptik IVAs outperform any regular chatbot in the market:

    1. Maintaining conversation context: In the journey of having contextual conversations, chatbots can only identify return users. However, IVAs go much further by remembering information derived from past user behavior and actions. It then uses this information for more context in future conversations.

    2. Understanding complex sentence structures: In free-flowing conversations spelling errors, slangs, negative sentences or “negations” are very common. However, chatbots do not have the AI models that IVAs have, to understand specific intents and answer user queries with precision.

    For example,

    3. Gauging Sentiments: IVAs are equipped with simulated ‘emotional intelligence’ to analyze user sentiments by assessing the customer mood based on speech patterns and sentence structures. Most chatbots aren’t advanced enough to decode sentiments as they lack AI.

    4. Handling user intents like a Pro: Humans talk in natural language wherein often the intents are vague. In such cases, a chatbot is unable to handle user queries. IVAs are capable of handling such issues by prompting the user for more clarification.

    Eg: Haptik’s IVA in the screenshot is using a feature called “Did you mean?/ Disambiguation “ to prompt the user with possible interpretations of the query received for delivering a quick resolution. This reduces the chances of bot breaks and unnecessary overload on the agents.

    #2 IVAs are technically advanced

    Apart from the core capability of powering conversations, IVAs possess a wide variety of features to meet the complex requirements of any enterprise. These capabilities result in increased ROI over time and justify why IVAs are better for the future of CX. Let’s take a look at few instances validating the same:

    1. Contextual AI to Agent handoffs: Unlike other chatbots, which use auto-assign routing logic based on query queue to pass chats, Haptik IVAs take into account the agents’ availability and capabilities to provide the best support experience. Furthermore, Haptik NLP auto-suggests answers for queries to assist agents in responding to incoming user messages.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    2. Leveraging Voice for enhanced CX: Given the growing use of voice as a medium for customer communication, IVA’s enable users to interact with businesses as if they were speaking to a person. An IVA like the ones we build at Haptik can accomplish this by using custom NLU models to understand customer speech and underlying messages to respond through text or speech. On the contrary, Chatbots are not prepared for phonetic errors, background noise, or differences in accent, making them unreliable for providing customers assistance via voice.

    3. Chat interface & user experience: While chatbots come with static buttons or text as responses after a user initiates a conversation, IVAs uses interactive prompts to get the user’s attention based on pre-defined triggers. When the user begins texting, the IVA can further autosuggest responses. The chat interface can also be configured dynamically to fit the brand’s design needs.

    Summing it up!

    When in a fix between Chatbots and IVAs, the latter will help you ensure customer’s delight! We hope this article helped explain how IVAs stand out in a sea of chatbots. The IVAs implemented by Haptik have been assisting brands to have more thoughtful and customer-focused conversations to inform, assist, convince, or to sell. And it would be fitting to say that the next generation of Conversational AI is at your doorstep and it’s time to embrace IVAs.

    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 👏 !


    Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • What’s the best platform to promote a fullpage chatbot

    I don’t have a website, however I have the tools necessary to create a full page chatbot that can collect emails. What would be the best social media platform to use to promote the bots. Reddit for the content marketing, or Pinterest for the more visual approach?

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

  • How we made an award-winning Google Assistant App

    TRT World News Quiz Logo
    News Quiz for TRT World have combined the human voice with intelligent voice assistant technology to create the best user experience.

    News Quiz from TRT World has recently won awards in two separate categories in Google Actions Challenge. Our quiz tests user knowledge about the current events with new questions every day and exist both on Google Home and Amazon Alexa.

    It took a lot of iterations to get there. We were faced with unexpected challenges as developing an app for a voice interface requires a different mindset. This article will detail our process of getting to the end product and the lessons we learned. As one of the first comers to the voice assistant platform in the media industry, we’d like to share some of the practices we developed along the way.

    Conception of the idea

    After receiving our first Google Home around the end of 2016, we started thinking of ideas unique to this new platform. Our first step was to investigate what our competitors were doing. Interestingly, we only saw 30 apps on the platforms excluding the news briefs. One category that caught our interest was the quizzes. As an age-old concept, quizzes managed to stay relevant and it seemed one of the simplest and most engaging experiences we can provide on the voice-activated devices.

    Another advantage of the quiz was the ability it would give us to repackage and distribute the same content in other domains like smart TVs, website, mobile apps. The quiz could also be used to redirect the users to the relevant content on our site. This thinking had a great influence in the way we planned for our news quiz as we had to make the interactions smooth enough to keep the user retention high.

    Throughout this planning process, we tested all of the apps made by news organizations for Google Home and Amazon Alexa. Our takeaway was that at the start, almost none of the apps made my media companies seemed to grasp the new type of interactions required for the voice-assisted platforms. We will go into the detail of our analysis in another article.

    Designing the MVP

    For the MVP, we decided to go with a fixed number of questions. The number of questions in the quizzes made for voice-assisted platforms ranged from 4 to 10. However, voice is unique in terms of the user attention and we decided to keep it short and decided to keep the question number at 3.

    Since our focus was to make this app a weekly news quiz, we had to make sure that the architecture would support the weekly updates to the product. The other design consideration we had was the support for linking each question to a news story.

    In order to quickly get a prototype out, we used API.ai or also known as Dialogflow. The system allowed us to map certain words to certain actions, but there was a problem. We wanted the quiz to progress as the user answers. So we had to call a webhook each time the user started the quiz and responded as to what the user sent to the server. The interface API.AI provided helped us to match what user said to the corresponding action in the webhook.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Technical and UX Challenges

    The initial challenge

    While building the prototype, we encountered a problem regarding the answers. As the questions were to change every week and the answers could be in any form, we quickly realized having the user utter every answer would be very difficult. There were cases where we couldn’t pronounce our own answers correctly or where we did pronounce correctly, Google Assistant wouldn’t understand and throw an error.

    The solution we came up for this problem was having the user say the number of the answer instead of the text. However, we made sure that if the user says both the number and the answer itself, we’d still pick it up.

    Before launching the product, we compiled a list of speakers with various accents to understand whether our number approach is ideal. One immediate problem we noticed was the user onboarding. Without a proper onboarding, most of the users did not speak the number of the answer and got confused. Also, some people had a problem saying two and three. So we mapped “do” to two and “tree” to three. Thankfully, Google Assistant allowed us to see every word user said in order to invoke an action. This showed us where the users had the most problem. For instance, we realized that some users were asking the question to be repeated or just generally asking for help. Upon seeing this, we quickly implemented these functions.

    News Quiz v2.0

    Although we were one of the first-comers to the voice assistant space in our industry, our app lacked a special ingredient that would make the users talk to their friends about it. One thing that most apps failed to do was change the default voice of the device and make it feel more human. Some even argued that the TTS is better as the users’ expectations are lowered due to the robotic voice. We decided to change that entirely and make the app completely human narrated.

    Another critical thing we implemented to help the game feel more playful was custom responses to right or wrong answers to a question. We wrote and did the voice-over for over 40 responses. The response would come randomly from the pool. These responses took almost all the users who tested it by surprise. If you got the question wrong, our app would say congratulations in a jovial tone only to be followed by that’s wrong. In fact, one of the user testing participants wanted to take the quiz again so that she’d hear the other responses we had. This style later on was awarded by Google as the best persona in apps on Google Assistant among thousands of applicants.

    Despite our foray into the weekly human narrated quiz, we believed we could do better and increased the frequency from weekly to daily. This forced us to rethink our ad-hoc approach to publishing new questions every week to Google Home and Alexa. We sat down with the product manager of our CMS in order to automate the process as the actions require a specific file format for the audio files and the text should match the audio exactly for it to be on Google Assistant. We managed to build a quiz publishing platform inside our CMS. This platform allowed us to publish the quiz with full editorial workflow integrated and the audio and image option presented. The quiz can now be sent to the website, smart TVs, Google Home, Amazon Alexa and the other platforms our quiz is present through our CMS.

    On the content side, we faced a backlash from the content team due the lack of resources on their side. Producing questions and voicing them over on a daily basis caused heated discussions. Firstly, they proposed preparing a batch of questions beforehand and do the voiceover daily. This approach worked for a while, but then we noticed the change in voice-over person every day didn’t sound right as the intro, outro and responses had our original entertaining voice while the questions were voiced by someone else. We changed tactics and got all the questions rewritten to fit our persona and goal of having a proper news quiz. All the questions had been voiced-over at once to be uploaded on a daily basis.

    Don’t forget to give us your 👏 !


    How we made an award-winning Google Assistant App was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Primary reasons — Why every Lawyer needs a Virtual Assistant?

    Primary reasons — Why every Lawyer needs a Virtual Assistant?

    Virtual Assistants — Next-gen solution to mitigate administrative challenges

    Law firms and lawyers managing business in a digitally tech-savvy environment, need to consciously capitalize on emerging automation technologies to better manage their workflow and client experience. Typically, lawyers spend about 40% of their time in scheduling meetings, searching for relevant documents and managing volumes of case history databases. These challenges become exacerbated when handling multiple clients and varying client matters, leading to reduced focus on core business activities. A high level of administrative support needed for the seamless functioning of law firms as well as solo practitioners has made Virtual Assistants a perfect solution for the legal industry. In addition to increased staffing costs, difficulties in acquiring skilled talent and communication channels have left little room for law firms and lawyers to find a cost-effective way to stay ahead of competition. In such challenging scenarios, integrating virtual assistants is the most valuable proposition to gain operational efficiencies and provide best-in-class customer experience.

    Virtual assistants facilitate lawyers to perform routine legal tasks more quickly, accurately, and in a cost-effective way. In the absence of relevant security solutions in place, accessing legal documents as well as file sharing have become increasingly challenging for lawyers especially outside the office network, considering privacy and compliance concerns. Virtual assistants built with text and voice capabilities play an influential role in boosting the productivity of lawyers, by providing secure access to client documents from anywhere and on-the-go, substantially improving mobility. These solutions offer attorneys instant and efficient administrative support by providing access to the right information at the right time and allowing them to focus more on critical work. Virtual assistants also provide additional insights to lawyers in formulating their cases and establishing a strong relationship between the lawyer and the client.

    To summarize, Virtual assistants have a huge potential to radically change the legal industry by supporting lawyers in delivering better and personalized legal services to their clients. Intelligent virtual assistants are disrupting the traditional legal practice and are aiding lawyers in streamlining operations and helping them remain competitive by minimizing their time spent on monotonous tasks.

    Challenges Faced by Lawyers

    challenges faced by lawyers without KLoBot

    Domain-specific Virtual Assistants — “Simplifying Matters” for Lawyers

    While intelligent assistants in smart devices (smart speakers, smartphones) are gaining popularity and gradually being adopted by lawyers, they still need to deal with a variety of challenges and associated risks. These devices integrated with AI assistants pose numerous Security & Privacy issues for lawyers. The key functionality of these devices is to capture and store all transcripts and data on external servers or cloud, resulting in Loss of privacy as well as Loss of control for lawyers. These smart devices are not built with enterprise-grade security and have weak authentication, making them easier to hack allowing access to client data and other sensitive legal information.

    Lawyers using smart devices for voice search queries must deal with issues of general-purpose assistants, which are typically non-domain specific, resulting in poor user experience. These voice assistants in smart devices often skip interpreting legal-domain specific words that restrict the search results to be more precise.

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    Major Reasons Why Lawyers Should Integrate KLoBot’s Virtual Assistants

    More Secure and Compliant

    Privacy and data security are major concerns for lawyers, especially with reference to confidential data of clients. KLoBot’s virtual assistant is compliant with data privacy regulations, offering secure transcription services and feature-rich admin console, which strengthen the document security as well as secure access for lawyers. KLoBot’s virtual assistant understands the legal industry contextually, reducing complexity in accessing the relevant information securely as well as enabling on-the-go agility. The enhanced mobility also helps while sharing documents with other colleagues across different channels.

    Automated meeting coordination

    KLoBot’s virtual assistant supports lawyers in managing their day to day activities, including scheduling appointments, setting reminders, and other basic tasks. Coordinating calendars and organizing meetings are time-consuming as well as cumbersome for lawyers as they are often reliant on other junior professionals for scheduling important meetings. In addition, KLoBot’s virtual assistant provides automated meeting coordination, resulting in reduced scheduling time and efficiently organized calendars.

    Handling customer interactions

    KLoBot’s intelligent virtual assistant can handle client interactions by “humanizing” communication through text and voice. The solution can connect with clients, personalizing their experience and provide reminders related to case hearings, meetings, and other case details. Lawyers handle repeated client queries and provide legal advice for the same issues to different clients, which hampers their productivity. KLoBot’s virtual assistant handles FAQs and manages client queries, which reduce the workload of lawyers. KLoBot’s “People Search” helps prospective clients to quickly and efficiently check the lawyer’s or law firm’s expertise. This enables faster access to right the lawyer with the necessary capability and expertise as well as helps in generating targeted leads.

    Legal Search

    KLoBot’s virtual assistant is helping lawyers to search for important documents, contracts, and other materials of specific cases on-the-go using text as well as voice.

    The intelligent virtual assistant can sort through legal documents from voluminous records, allowing lawyers to retrieve old case information. For Instance, KLoBot’s solution “netDocShare” a cloud-based document management service, provides lawyers with access to NetDocuments content on SharePoint by using KLoBot’s text and voice-enabled virtual assistant.

    Enabling Smart Offices

    Other than FAQs, every client has unique legal requirements that need to be addressed. KLoBot’s virtual assistant is enabling smart law firms that provide lawyers ease of usability, better control over resources, streamlining their practice and promptly assisting clients in resolving their legal issues. KLoBot’s virtual assistant ensures the security of confidential files even in external environments, which makes sharing documents significantly easier. By supporting lawyers in efficiently carrying out basic tasks, KLoBot’s virtual assistant augments operational capabilities resulting in improved productivity.

    Benefits of using KLoBot Virtual Assistant

    Legal chatbot software KLoBot

    KLoBot-enabled chatbots empower law firms to keep their day-to-day operations on track, resulting in efficient remote working. KLoBot, leveraging the power of voice and text, offers organizational intelligence to its users, and assists law firms in delivering economically valuable work output. For deploying chatbots within minutes and effectively serving remote workers check out this customizable platform. For more details visit https://www.klobot.ai/

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    Primary reasons — Why every Lawyer needs a Virtual Assistant? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.