Blog

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.

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

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

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

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.

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

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.

 — @derrickfountain

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?

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

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.

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

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

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/

Don’t forget to give us your 👏 !

---

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.

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

All healthcare workers are on the frontline during the covid pandemic. They face an overwhelming workload and risk their health and wellbeing every day. Moreover, doctors and nurses still have patients with other diseases and must take care of them on a high level nevertheless. So, healthcare providers are looking for the opportunity to turn from classical consultation treatment and look for new solutions. One of these solutions is a chatbot.

Chatbots — the future of medicine?

According to Juniper Research, the healthcare system will become a major user of chatbots in areas such as patient diagnosis, patient information, and voice-capable digital assistants to support healthcare providers. The increased introduction of chatbots will free up medical staff time and save countries’ healthcare systems around $3.7 billion by 2023, and the number of chatbot interactions will reach 2.8 billion per year by this time.

Why the chatbots?

Chatbots are a piece of software that conducts conversation on a determined topic automatically.

Their benefits are:

• simplified communication with users of the medical information system,
• saved time and financial resources for medical personnel,
• convenient for users and improved patient satisfaction,
• fast respond to FAQ-type queries (contact details, directions, opening hours, and service details),
• 24/7 availability.

Of course, one should understand that chatbots can’t replace doctors. Their task is to be the first point of contact before any human involvement is needed. Thus, chatbots reduce the number of time doctors spend on initial diagnosis, general questions, appointment scheduling.

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

Intellexer Chatbot helps during the COVID-19 pandemic

Intellexer COVID-19 chatbot powered by AI gives solutions that help both patients and healthcare providers. The chatbot’s name is DIVOC and it offers to talk about questions about one’s health. It allows chatting in a natural language about COVID-19 and healthcare-related topics.

The COVID-bot uses a proprietary linguistic platform Intellexer to analyze entered data. Intellexer chatbot does not wait for predefined queries, it extracts the main focus of the question, and gives the corresponding answer.

Intellexer chatbot does not wait for predefined queries, it extracts the main focus of the question, and gives the corresponding answer.

If the chatbot sees the mentions of some potential COVID-19 symptoms, it offers to take a COVID-symptoms test — “COVID Checklist”. Its content is built according to clinical protocols and best practices. The test lets you know if you need an appointment with your healthcare provider and gives information about your risks of getting infected or possible complications. The chatbot does not collect the data of the test, so all provided information is strictly confidential.

If the chatbot sees the mentions of some potential COVID-19 symptoms, it offers to take a COVID-symptoms test — “COVID Checklist”.

Moreover, Intellexer COVID-19 chatbot helps to stay informed about the risks of COVID-19 infection in the USA. “USA Risk Assessment” provides up-to-date information for every state from the official websites.

Chatbots share the latest information, such as:

· total COVID-19 cases;

· daily growth;

· cases per 100,000 people;

· case fatality rate.

Intellexer COVID-19 chatbot helps to stay informed about the risks of COVID-19 infection in the USA.

Chatbot DIVOC is also equipped with a news tracker on COVID-19, lockdown and other related issues. News tracker is based on Intellexer NewsMonitoring.

This chatbot can be customized to any disease and have much bigger functionality like automatic appointment scheduling with physicians, remote consultations, video-controlled treatment, etc. If you think of improving your service, business, a website with an AI chatbot, Intellexer is a good place to start.

Summary

We are concerned about the challenge that the world community is facing right now, and consider it our duty to help fight the COVID-19 pandemic. Intellexer COVID chatbot is an accessible health service that includes a symptoms checklist, USA risks assessment, and answers to any questions about the coronavirus.

We hope that this chatbot will be useful to everyone but soon will become just a part of the history together with covid pandemic and lockdowns.

Stay healthy!

Don’t forget to give us your 👏 !

---

Chatbots As Medical Assistants In COVID-19 Pandemic was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.