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Category: Chat
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Bot Agencies Turned to SaaS Companies
It’s great to start as an agency and offer chatbot building services. But if you want to scale your business, it might be time to switch from a professional service model to something like SaaS or Marketplace.
Here are some companies that have made the jump from agencies:
Here’s a quick list of some companies that made it. They all started as agencies but after some time figured out how to build a product company.
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- BotsCrew — (https://botscrew.com), started as an agency and then built a chatbot building framework.
- Botmakers — (https://botmakers.net) used to sell chatbot project leads but switched to chatbot templates marketplace.
- Airchat (https://airchat.us), a website bot building platforms focused on recruiting bots. Built by the Botmakers team too.
- A Denmark based BotSupply.
- Blip by Take (Brazil and LATAM market)
- London-based company We Build Bots (http://wbb.ai).
- Leena.ai started as an agency too but then join y combinator and built a HR chatbot platform.
Who did I miss? Please mention in comments or email me at alex@tarta.ai.
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Bot Agencies Turned to SaaS Companies was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Building a Weather Bot with Bot Framework Composer
Building a Weather Bot using Bot Framework Composer- Part 1
What is a Bot Framework Composer?
Bot Framework Composer is an open-source visual authoring canvas for developers and multidisciplinary teams to build bots. Composer integrates language understanding services such as LUIS and QnA Maker and allows sophisticated composition of bot replies using Language Generation. Composer is available as a desktop application as well as a web-based component.
See the documentation here — https://docs.microsoft.com/en-us/composer/
Let’s start building a basic weather bot using the Bot Framework Composer.
Prerequisites:
Now, let’s start creating our Bot
Creating the Bot
The first step in creating a bot with the Composer is to create a new bot project. This will create a new folder on your local computer.
- Launch the composer
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On the Home page, select the New icon.
In the displayed Create a bot project form, enter the following information:
- Name. Enter the name WeatherBot. Notice that spaces and special characters are not allowed in the bot’s name.
- Description. Enter A friendly bot who can talk about the weather.
- Location. Select the location on your computer where to save the project.
- Click OK.
- Select the Greeting trigger in the Navigation pane on the left. In the Authoring canvas, the related conversation flow is displayed.
6. To help keep bots organized, you can rename any trigger to something that better describes what it does.
As an example, in the Properties panel on the right, rename the trigger from Greetings to Welcome User.
7. Now, it’s time to make the bot do something. Let’s instruct it to send a simple greeting to the user. In the Authoring canvas, select the existing Send a response action. Its properties will appear on the right in the Properties panel. This action has only one property: the text of the message to send.
8. Type a welcome message into this field such as:
Hi! I’m a friendly bot that can help with the weather. Try saying WEATHER or FORECAST.
It is always a good idea to have your bot introduce itself and explain its main features.
You can start adding functionality to your bot by adding Actions to the Welcome User trigger. You can do this by selecting the plus (+) icon in the Authoring canvas, at the desired location in the flow.
9. From the displayed list of actions, select the appropriate action.
Start your bot and test it
Now that your new bot has its first simple feature, you can launch it in the emulator and verify that it works.
- Select Start bot in the upper right-hand corner of the screen. This tells Composer to launch the bot’s runtime, which is powered by the Bot Framework SDK.
2. Once the bot’s runtime has started, the Local bot runtime manager will open. You can also select the icon to the right of the text Restart bot, as highlighted in the following image, to open and close the Local bot runtime manager.
3. Select Test in Emulator in the Local bot runtime manager. This will open your bot in the Emulator.
Soon the Emulator will appear, and the bot should immediately greet you with the message you just configured:
4. When you are done, you can stop the bot by selecting the Stop Bot button in the Local bot runtime manager.
Finally, we have successfully created a bot using Bot Framework Composer!
Reference — Microsoft Tutorial
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Building a Weather Bot with Bot Framework Composer was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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3 Ways Conversational AI Assistants are changing employee communications
With many employees now finding themselves working from home most of the time, traditional methods of communication are becoming less effective. This in combination with multiple and complex systems and the plethora of emails HR and Support teams are receiving daily, is making it increasingly difficult for employees to find the information they need to support their role.
The way employees are communicating with their organizations is therefore changing and Conversational AI Assistants are helping to facilitate this change.
Changing Communication Channels
Over the last year platforms such as Slack and Microsoft Teams have been increasingly relied upon by employees and managers alike to communicate regardless of their location. The tool’s ability to provide instant connection and responses, as well as integrations with shared workspaces and video calls makes them the ideal communication channel for many employees.
Additionally, the instant nature of applications such as Facebook Workplace echoes the development of many popular social media platforms, making them immediately translatable for younger employees within the workplace.
A recent survey conducted by Humley exploring employee communications trends in 2021, found that 33% of employees from the Gen Z bracket preferred collaboration and instant-messaging tools over more traditional channels such as email. It is certainly, clear that the reliance on these collaboration platforms will continue to grow and perhaps even surpass emails and calls as we move towards a more hybrid model of working.
Conversational Assistants could help organisations manage the rise in demand and adoption of these communication platforms through deploying directly to them. Conversational Assistants enable businesses to provide instant responses to queries and requests such as ‘How much annual leave do I have left?’ or ‘What is the company policy on COVID-19?’, interacting with employees in the same way as an HR and Finance administrator might.
By deploying Conversational Assistant to channels such as Slack, businesses can enable functional teams (HR, Finance, etc.) to transition away from emails and calls and communicate with employees in the channels they actually use, increasing not only workforce productivity but also engagement and satisfaction.
On-Demand Information
We live in an on-demand culture and our personal lives and are used to having information at our fingertips — from being able to get 24/7 customer support to instant web browser resources, yet in a workplace, this is often not the case.
To find vital information employees are required to navigate complex systems and documents or send multiple emails which can be subject to delays in responses, resulting in frustration. Humley’s survey also found that 42% of employees surveyed struggled to find the information they need and a further 31% experience delays in email responses leading to lack of clarity, productivity, and ultimately low morale.
Conversational AI Assistants enable employees to communicate and find information whenever they need it, with no reliance on email responses or call-backs. For example, platforms such as Humley’s deliver meaningful responses in an average of 2 seconds. This means not only instant user satisfaction but also that functional teams such as HR can deliver an average 30% time saving to their day through reducing the number of email requests needing to be processed.
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Additionally, Conversational Assistants such as Humley’s, also come with pre-built integrations to internal business systems (HRIS, Payroll, Finance, CRM, Sales), which means that not only can employees and managers securely access information contained within them but can also perform tasks such as updating customer records or booking holiday. Again, saving employees significant time, improving productivity, and reducing the pressure on functional teams — freeing them up to focus on more rewarding and business-critical tasks.
More Open Conversations About Wellbeing
A recent Humley Survey exploring the impact of COVID-19 on employee wellbeing found that 69% had been moderately to severely impacted by the change to remote working. With the change to more permanent remote working and reliance on digital channels of communication, it can be difficult for organisations to gauge the wellbeing of employees. This is particularly true as often we do not know that we are not OK and as result will not communicate this.
Conversational AI Assistants could be deployed by HR Teams to provide additional support for employee’s well-being by enabling them to seek advice without the need to speak to a person. This is crucial because of the stigma surrounding mental health, meaning that many people are still reluctant to discuss their wellbeing for fear of shame or judgment. Conversational Assistants, therefore, not only allow employees to remain anonymous, but also provide the right information and advice whenever they need it.
Additionally, the utilisation of Natural Language Processing (NLP) within Conversational Assistants means that they can understand and identify employee sentiment within conversations and be used to flag concerns, prompting human intervention.
For example, this could be as simple as repeated negativity identified in employee responses, which triggers a notification sent to the appropriate team leader with a recommendation to check-in. Or more complex analysis of interactions and conversation trends which help HR Teams to identify potential mental health and stress-related issues before they arise. Leading to more meaningful interactions about employee wellbeing and improving motivation and morale as a result.
The tremendous challenges of the last year and the evolution of digital channels have meant that how employees communicate with an organization has changed. Conversational AI Assistants are part of this shift in the landscape and could enable businesses to facilitate more effective and productive employee communications, improving engagement and experiences as well as ensuring long-term success.
To find out more about how Conversational AI Assistants could transform your employee communications, get in touch today. info@humley.com
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3 Ways Conversational AI Assistants are changing employee communications was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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I have been trying to build a chatbot. I see you guys have ones that can look more than 1 message back. How does that work?
Basically the title. Does anyone have how to do that or a github repo i can take a look at?
submitted by /u/linux-nerd
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Exclusive VIP Promo for Conversational AI Conference
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Chatbot Conference Online 2021 Hi, hope you are healthy and well.
We wanted to thank you for being a long time subscriber and for helping make Chatbots Life one of the most popular blogs on Chatbots and Conversational AI online.
The event features speakers from Google, Salesforce, IBM Watson, CoCoHub, Rasa, etc. It’s the perfect opportunity to discover how enterprises are using Conversational AI and to network with top industry experts.
Also, we wanted to inspire you to create more great Conversational AI systems!
So we created a special promo just for you and are offering you a Discounted Pass to the Chatbot Conference for only $49! This is $170 off our current price and this offer is limited to the first 25 people who register.
You can now attend the Chatbot Conference on May 25th for only $49.
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Cheers!
Exclusive VIP Promo for Conversational AI Conference was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Reached 3k Download on WordPress Chatbot Plugin
I am working on the BotPenguin WordPress chatbot plugin for the past 1 year and got 3k+ downloads, and here are my observations.
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Regularly Update your plugin with recent Tested up to Recent WordPress Updates
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Collect Reviews for your plugin
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Resolve queries/complaints on your plugin
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Make sure PHP Version is lower as possible
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Use Proper Tags For your Plugins
If you have more suggestions, please write them in the comments below.
Here is the link: https://wordpress.org/plugins/botpenguinbot/
submitted by /u/botpenguin1
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An expert system: Conversational AI Vs Chatbots
Conversational AI vs Chatbot If I am not wrong, most of you will be very happy and excited after seeing this title.
Yes, today, we are going to discuss Chatbots Vs. Conversational AI.
The reason for the excitement is that most individuals and enterprises are confusing between these two buzz words.
Every human being is born with knowledge, but only limited ones will use that knowledge intelligently at the right places & situations.
I hope the above statement will give you a comprehensible & primary difference between a Chatbot (Knowledge) and a Conversational AI (Intelligence).
To stay pertinent & prolific in today’s digital world, every enterprise must adopt the latest technologies to make their way into the computer world.
It means enterprises need to deploy solutions (Conversational AI) that customers expect to help enterprises scale and remain competitive in the competitive world.
If you are reading these words means you are eagerly looking out for some answers.
Continue reading!
In the end, all your doubts will vanish, and you can decide whether to go for Chatbots or Conversational AI platforms.
We are moving into the age of smart machines driven by Artificial intelligence, Conversational AI, the Internet of things (IoT), NLP, NLU, and Robotics.
What is Chatbot?
Chatbots are typically a rule-based and bounded software system that has well-defined categories that automate human interactions. The Chatbots are uncomplicated to build and follow some predefined stream.
The Chatbots will give responses to the only pre-determined linear flow of conversations.
Suppose if a Chatbot is built to provide solutions for problems A, B, and C. The bot immediately responds when those three instants occur.
If a human gives anything other than those three instants, the bot sends you an error message.
The Chatbots ease the process for humans by removing clicking on a menu of choices; you can talk or type as you communicate with a human agent.
The Chatbots are categorized under three categories based on their purpose, level of advancement, and communication channels. They are:
- Button/Menu
- Keyword-recognition
- Contextual
There are two core problems with the old Chatbot models.
The first one is the specific rigidity of learning models, and the next one is that Chatbots cannot learn in between conversations.
The concept of Conversational AI comes into the picture to solve the common problems faced in Chatbots.
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Understanding Conversational AI
You know, Conversational AI is the new user interface (UI).
In simple terms, Conversational AI is defined as a form of AI that enables individuals to communicate with messaging apps, websites, speech-based assistants, and devices in everyday language via voice, text, and video.
Conversational AI mainly focuses on the dialogue flow system, which handles human variance in communication between computers and humans.
The Conversational AI platform uses various technologies, Natural language processing (NLP), Natural language understanding (NLU), Machine learning, Deep learning, and predictive analytics to provide a human touch to the users while interacting with the machines.
Conversational AI carries out multi-turn banter & accomplishes decision-making tasks, just like humans.
Companies are shifting to Conversational AI platforms when Chatbots fail to deliver customer expectations, especially in complex use cases such as telecommunications, healthcare, insurance, and banking.
Conversational AI capabilities go far beyond natural human language, especially when compared with the standard Chatbots, which frustrates customers.
Conversational AI Vs Chatbots
Now, let us look at what separates a Chatbot explicitly from Conversational AI.
Conversational AI vs Chatbot The initial iteration of Chatbots is commonly referred to as first & second generation, and conversational Chatbot technology falls into the third generation.
Chatbots are mainly useful for online enterprises, but coming to their abilities (Pre-programmed responses), they are limited, and they operate on if/else algorithms.
When the bot is incapable of acting in response to user intents, the algorithm either loops or that chat will be transferred to a human agent.
The Conversational AI bots remember personalities & preferences. Conversational bots use Artificial general intelligence to reflect and operate as a human.
Both the words ‘Conversational AI’ and ‘Chatbot’ have the same meaning.
Conversational AI technology can be used to build both text and voice assistants. In contrast, Chatbots are more confined to text-only conversation.
Conversational AI is more intelligent and smarter than standard chatbots.
Conclusion
We genuinely deem that these two technologies are complementary. When these two technologies combine effectively, they can enhance customer engagement & customer experience, which adds significant value for enterprises & users.
From the above all conversation, you got to know the difference between Rule-Based Chatbot and Conversational AI.
If you still have anything to converse about the right mix, get in touch with us.
We have great professionals on board who can give you the best possible solutions.
Stay Connect with us!
To get more updates on Conversational AI, Chatbots, and Artificial human intelligence.
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An expert system: Conversational AI Vs Chatbots was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Use Cases of Chatbots — With Real Examples, Application & Features.
Use Cases of Chatbots — With Real Examples, Application & Features.
Did you land on this article while finding an answer to your ‘What are the use cases of chatbots?’ Well, congratulations, you have found the right place, finally!
Ten years ago, did you have the vision to think that you can be sitting on your couch and just by tapping your mobile or tablet screen for a couple of times will fetch you a cab right outside your door?
Or, could you imagine that you can order your favorite pineapple topped pizza while finishing that document, and even before you are done, the delivery executive will be waving with a broad smile?
All this without any verbal communication — not even a lip-sync. And yet, here we are. A boon commonly addressed as a chatbot has made this possible.
This article is an attempt to throw some light on some of the best use cases of chatbots. While we are at it, keep a watch as you never know what can come up as the biggest asset for growing your business.
Use cases of chatbots — An introduction
Are you planning to skim through this article? Because that is what most of us do. For this one, you might want to take a pause and read this well.
We will be talking about how a simple tool can save you 100+ support staff-hours monthly, enhance your lead generation process and overall, make a difference in the way you operate your business.
Before we see how some game-changer brands have smoothened the process with chatbots, let’s briefly understand the benefits of using a chatbot for your business.
Round the clock availability
When was the last time you were kept on hold for 5 minutes straight by a customer care executive? Oh, and didn’t you feel annoyed and tired all at once? On average, people spend around 7 minutes until they are assigned to a person.
With a chatbot, you can ensure none of your customers has to face that. Forget those queues and extension digits you try to use to reach a human. With chatbots, you can get an answer to anything you ask within a fraction of a second, and you can do this for every visitor who knocks on your door.
Flexible attribute & easy training
Chatbots have the benefit that it can quite easily be used in any industry. If you plan to create a team of customer support experts, it might cost you much more time, effort, and money. Add to it the training courses and the hassles of it.
With chatbot being a cloud-based service, it becomes easy to train and feed information.
One time effort and you are done. For example, If your business brings an update, feed that information in your chatbot, and you are good to go!
Human assistance comes with a price tag, and rightly so. But, any company, no matter the size and age, looks to save big on operational costs with cost-effective solutions.
There come chatbots in the picture. Take a moment to compare the expenses incurred if you had to pay a team of 10support staff members. Now, think of the amount you will have to pay if you plan to integrate a chatbot.
The bottom line is, chatbots are affordable. As one chatbot is equal to many employees, it can easily communicate with thousands of customers simultaneously. We would only need a handful of people to jump into conversations sometimes when necessary.
Hence, it would drastically bring down the expenses and bring about a steep rise in revenue and customer satisfaction.
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Customer satisfaction
Humans are social animals — full of emotions. They operate on expectations to a considerable extent.
Imagine you are looking to buy scrunchies as a gift for your sister. You find a website that captivates your attention with prompt and quick responses. On the other hand, imagine you reach out to an Instagram seller who is taking a week to reply. Which is the side you are bound to tilt? Indeed, the website that offered you quick responses, right?
This is a very simple example of how chatbots can be a real powerful add on for your business. They can delight your prospects right in time and ensure they become customers and not just visitors.
Handling capacity
Unlike humans, who can only communicate with one human at a time, chatbots can simultaneously have conversations with thousands of people. No matter what time of the day it is or how many people are contacting you, every single one of them will be addressed immediately.
Imagine you own a restaurant, and you have a good reputation for your food, of which most of your revenues come from delivery. As the demand keeps rising, you will have more customers to take orders from but very few staff to attend them all. Having a chatbot would eliminate such problems and cater to every person and ensure that no order is missed.
Companies like Taco Bell and Dominos are already using chatbots to arrange delivery of parcels.
Well, these are just some of the most spoken benefits of chatbots. Along with the above mentioned, chatbots help in faster onboarding, lead generation, sales enablement, and more.
Now that you understand how a single integration can make a big difference, let us see how businesses, in real-life, have used a chatbot to make complex processes easier.
Live use cases of chatbot — with examples
Let us agree — a practical use case comes up as more sensible. To keep things real, we have done the research, and identified instances wherein brands are going head over heels with chatbots.
MedWhat: Making medical diagnoses faster
A majority of us are living a life that we know isn’t as healthy as it should be. MedWhat has been helping the millennial generation with on-the-tap diagnosis, all taken care of by a chatbot.
This chatbot aims to make medical diagnoses faster, easier, and more transparent for both patients and physicians — think of it like an intelligent version of WebMD that you can talk to.
MedWhat is powered by a sophisticated machine learning system that offers increasingly accurate responses to user questions based on behaviors that it “learns” by interacting with human beings.
In addition to the ever-growing range of medical questions fielded by MedWhat, the bot also draws upon vast volumes of medical research and peer-reviewed scientific papers to expand upon its already considerable wealth of medical expertise.
Here’s what diagnosis at MedWhat looks like.
Sephora: Easing the complex makeup processes
All of us are once, a newbie at a particular thing. With the worldwide pandemic and people forced to shut the doors and stay in, people have tried their hands on new things. One of them is learning makeup.
At Sephora, you can get all kinds of makeup tutorials if you chat with them. This personal assistant will also help you by providing product reviews and ratings when you’re shopping in a store.
Here’s a snapshot of the Sephora bot in action.
Pizza Hut: Sending a favorite piece of meal to all
You are lying if you say you have never felt that craving to order a pizza on a tiring evening but, walking down to that shop at the end of the street seems like a big run. Extend your thanks to chatbots, for they are making everything, literally accessible.
Pizza Hut’s customers can easily order pizza for delivery or take away from Facebook’s Messenger or Twitter. Customers can also reorder their favorite pizzas, ask questions, and see the current deals.
Check out how Pizza Hut delight’s its customers through chatbots.
Spotify: Uplifting & assisting everyone to go through it all
Music has been a goto for everyone for ages. If you have ever made your way to Spotify’s website or mobile app, you know they hold a real music treasure.
Roof Ai: Generating and assigning leads automatically
Spotify’s Facebook Messenger bot makes it easy for its customers to search for, listen to, and share music. Once you get started, you’ll get playlist recommendations based on your mood, your preferred genre and more.
If you work in sales and marketing, you probably already know how vital lead assignment is. After all, not all leads are created equal, and getting the right leads in front of the right representatives at the right time is a lot more challenging than it might appear.
Enter Roof Ai, a chatbot that helps real-estate marketers to automate interacting with potential leads and lead assignment via social media. The bot identifies potential leads via Facebook, then responds almost instantaneously in a friendly, helpful, and conversational tone that closely resembles that of a real person.
Based on the user input, it prompts potential leads to provide a little more information, before automatically assigning the lead to a sales agent.
One of the critical advantages of Roof Ai is that it allows real estate agents to respond to user queries immediately, regardless of whether a customer service rep or a sales agent is available to help. This can have a dramatic impact on conversion rates.
Isn’t it amazing to see these brands disrupting the space with unique solutions while making customers feel valuable? Well, you can be one of them too.
As you can see, there’s a heap of ways to utilize chatbots, and the usage numbers don’t lie. They might not have taken over just yet, but more people are becoming more aware of their uses — and more brands are tapping into that opportunity.
Are you confused about the use cases that can be solved by chatbots for your business or are confused about which chatbot platform to go for? Fret not, check out what we have for you in-store and maybe, we can be a good fit!
Key takeaways
- Chatbots are seeing traction from businesses across domains. There is an endless list of use cases that are being solved.
- Chatbots can help you enhance the navigation for your prospect visitors.
- Businesses are building solutions that can help customers place orders and get information without any human intervention. That seems like the next big thing.
- Tutorials, being consumed now more than ever are one of the best solutions to offer your visitors.
In conclusion
While all these chatbots seem advanced and complex to use, create, and integrate, the fact is that they’re relatively simple to build. Chatbot builders have made processes easier and simplified.
Don’t forget to give us your 👏 !
Use Cases of Chatbots — With Real Examples, Application & Features. was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Reduce clinician burden and enhance patient efficiency with Conversational AI
These days, situations where people are looking for diagnoses on the Internet and then the results scare them, happens very often.
They search for the symptoms on the internet, observe them for a while and then when they get to a doctor, they are either diagnosed with life-threatening diseases or just a common fever.Often, a delayed diagnosis or misinterpretation of a medical condition or injury can lead to fatal problems.
With the advent of Conversational AI, situations like these can be easily avoided. Conversational AI is transforming modern healthcare technology in so many profound ways as we witness a paradigm shift in the way patients are being treated by doctors with the help of powerful NLP and Machine Learning.
Artificial intelligence in the healthcare market is estimated to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026, at a CAGR of 44.9% during the forecast period. AI will also be instrumental in cutting down costs. Accenture predicts that with the growing demand, the US healthcare sector will save $150 billion by 2026. In a nutshell, we can say that Conversational AI applications are revolutionizing the healthcare sector to cut down on costs and enhance the patients’ experience.
Modern telehealth products and services have numerous different solutions to offer healthcare organizations. Some of the remarkable features include educational materials, remote patient monitoring (RPM), medication, and symptom tracking.
But, how exactly Conversational AI integrated in healthcare organizations will match the ever-growing need for essential change in the traditional healthcare delivery model?
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Consider, for example, a person gets diagnosed with Diabetes, these might be the following things that he might do next:
- Watch a video on carbohydrate counting, followed by downloading a health app on his/her phone.
- Use his/her mobile phone or other devices like smartwatches to upload food logs, medications, and blood sugar levels to get reviewed by a nurse who responds automatically.
- Use an app to calculate calories, decide his/her diet and exercise level, how much insulin he/she needs as per the health condition.
- Use an online patient portal to schedule consultations, see the test results, request prescription refills, or email the doctor.
- Order medications online.
- Get email, text, or phone reminders when he/she needs a yearly check-up, flu shot, foot exam, or other preventive care.
Too much app fatigue right? But what if a single entity gives a patient all these information from health monitoring to booking an appointment, how easy that would be. Both for the patient, doctors and clinicians.
A GPPS 2020 survey, which united 740,000 patient responses has shown that:
➤ 65% of patients find it easy to get through their practice by phone.
➤ Increase in online awareness and usage of online booking appointments and ordering prescription refills from 2019–2020.
The Takeaway: conversational AI in healthcare mainly serves the purpose of personalization, helping the patient feel more relaxed and feel more trust towards the hospitals and the doctors.
How Conversational AI is accelerating Virtual Healthcare?
AI is gaining exponential traction in healthcare. The demand for patient satisfaction and positive financial outcomes has pushed the healthcare industry to undergo a major transformation. Hospitals and their chain of institutes are now equipped with modern contact centres to deliver superior customer experiences across every touchpoint, with contact centres central to the shift.
While these tasks are taken care of and hugely accepted by the industry, AI has expanded its capabilities from being restrained to enhancing back-office productivity, to emerge as an enabler to improve healthcare outcomes.
Conversational AI in healthcare organizations take care of a patient’s diverse needs and also record the health condition. Most importantly, rather than eliminating humans in the contact centre, AI and the automation enables call centre agents free for delivering higher-value — and more engaging, interesting — work. Voice technology also plays a crucial role in various AI-powered assistants. Not only does it utilize embedded analytics, but also designs smart workflows to produce dynamic responses.
BENEFIT OF AI FOR HEALTHCARE
Now, let’s look at how Conversational AI accelerates digital health and focus on revolutionizing the patient-doctor experience in synergy.
Real-time Healthcare Assistants
A study shows that 89% of people research on Google before visiting the doctor. Let us consider the example of Nora, a graduate student who has a cold, but she also has a fest in 2 days and doesn’t have time to visit the doctor. She searches Google for her symptoms and treatment. After finding probable medicine that might cure her symptoms, she visits the nearest pharmacy for over the counter medicines. But is Google reliable for health-related search?
Now consider an AI-powered Chatbot Dr. Max, who quickly checks through the database and provides Nora with helpful information. Further, Nora can take a doctor’s consultation in real-time. It also has a feature where she can order her medicine online through chat. Within 15 minutes, she has reliable information through her virtual doctor and medication, all in real-time.
These chatbots are available 24×7, providing patients with instant answers to all their health-related concerns while guiding them on how to deal with potential problems.
24*7 Support in Clinical Decisions
In addition to immediate diagnosis, VAs can help in clinical decision-making. The assistance of Natural Language Processing (NLP) helps doctors to narrow down and focus on all relevant information from patient reports. Once the decision is made, the support can be provided through healthcare contact centres by virtual voice interactions or virtual agent interactions to keep the patient engaged via phone/email/ SMS channels. AI can store and process large sets of data that provide a pool of knowledge database, facilitate examination and recommendation for patients, giving an upper hand to doctors for clinical decision support.
Increase Patient Engagement
Engaging patients through virtual assistants can help them maintain appointments and keep a check on their schedules. AI-powered chatbots work closely with humans and accelerate more routine patient management activities. Virtual agents at contact centres help patients with immediate resolutions to problems whenever a physician is unavailable by facilitating with first-aid information, etc. Furthermore, virtual assistants reassure patients that their providers are available and involved in their journey. The VA makes it easier for them to reach out with their health-related questions, report early warning signs, and schedule a follow-up appointment to make sure they are on track.
Enhanced Engagement more Efficient for Payers
Besides helping patients and caregivers, AI also helps the medical insurance business. In the hospitality sector, patient clinical record analytics are critical and a high level of data accuracy is needed, which is why data processing could be entrusted to smart algorithms.
AI-powered virtual assistants engage with the customers to understand their policy requirements and engage them by showing the right product videos, images, and other media. It also recommends them appropriate policies and provides them a smooth customer experience. Leveraging the intelligence trained virtual platforms, virtual agents can handle scenarios unique to the health ecosystem while maintaining the integrity of data and patient information.
Automates Administrative Tasks
Healthcare requires the accurate processing of a huge amount of information, medical data, and hospital reps spend a great amount of time on activities through the hospital management system or conventional manual procedure. To allow caregivers to shift their focus on more important tasks, robotic process automation (RPA) is of great help. RPA helps the hospital management system with a quick and patterned process of documents — tons of medical claims, records, electronic health records (EHRs), and more. This helpful process not only automates the medical records but also relieves personnel from manually intensive tasks, and improves care outcomes.
About Swifter AI
Swifter AI- healthcare assistants can be easily integrated with the existing phone systems (mobiles, landlines or VoIP) be it a GP Surgery, a Private Hospital or Clinic, or other Healthcare Provider, NHS 111 or Public Health England. It works on other communication platforms as well, like websites or Facebook Messenger and offers 24/7 support to bring efficiency to the existing mundane operations.
Request a demo to explore how Swifter AI can help transform your healthcare operations and enhance patient engagement with Conversational AI.
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Reduce clinician burden and enhance patient efficiency with Conversational AI was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
