CX AI Assistant Uncategorized

How to support more customer without increasing Employee headcount

Every businesses aspire to have a loyal customer base since it is the benchmark of the success. Are you looking to create loyal customers, raving fans for your business?

I am sure you do.

A raving fan is the one that stays with you through thick and thin; which means they know your business, trust your product and most important have amazing customer service. There are substantial research and data available which clearly indicates that an average customer is ready to pay more for a particular product from a company that offers good customer service.

This begs the question of how the customer support system be improved without increasing support headcount and significant cost in this era where finding and retaining support employees becoming increasingly difficult.

We have earlier shared how the pandemic Covid-19 has pushed businesses irrespective of shape, size and nature to adopt an aggressive stance towards digital transformation across North America and Globally.

Automation consists of a major share of this digital transformation. The below chart indicates automation adoption in different departments.

For example, a company can save time to bid from three weeks to just two hours by automating the pre bidding processes. The shift from manual entries to predesigned proposal templates and populating them with ERP data resulted in higher customer satisfaction and an increase in significant savings.

Similarly, automating the customer service department can cut down cost and increase customer satisfaction significantly. Let us examine how.

How Ai assistant cuts down employment cost?

Chatbots can save up to 30% in customer support

Source: BI Intelligence, The Chatbots Explainer, 2016

The above figure clearly shows the potential savings of approximately $23 billion achieved in the US because of the immense capacity of chatbots to automate 30% of the tasks executed by customer service staff.

As is mentioned above that with AI powered chatbot with an embedded machine learning engine, the day-to-day repetitive mundane queries and concerns can be handled by the self-service chatbot.

This essentially means a large chunk of human resources gets freed from that desk who can subsequently be engaged for other higher-level business functions better critical for the success of your organization.

This is good enough reason for businesses to adopt AI CX smart assistants to cut down substantial labor costs. But if you might be wondering chatbots are not ready as they are not giving human touch, check out below.

How chatbots will give human conversation touch?

Concerns about chatbots getting stuck or not answering appropriate is valid. Because we know that when a customer leaves, they are gone forever. It is not surprising that 91% of unsatisfied customers never return to the brand.

That is when AI powered CX Assistant comes into picture and more and more businesses are adopting new technologies and customers are enjoying quick services. But what is AI-powered CX AI, Assistant?

Rules based versus smart CX AI assistants:

Customer service automation can be done in basically two different ways, rule-based chatbots and smart customer experience (CX) AI assistant.

1st – Rule Based Chatbots –

It is considered as your customers’ worst enemy. They are characterized by predefined programs and canned responses while interacting with customers. The rule based chatbot can handle only the kind of customer requests that follow a specific path.

So, anything that is not programmed into this bot, they will either respond with an error message, give wrong message or gets stuck.

2nd – CX AI Chatbots –

In this age of customer service AI automation, the chatbot is programmed with sophisticated technology such as natural language processing [NLP] and natural language understanding [NLU] capabilities. This enables the customer service AI chatbots to understand the intent behind a query. Thereby coming up with an appropriate response to the customer.

The above is a classic example of an intent-based response. This kind of response makes customer self-service more streamlined and gives a sense of content in terms of user experience to the customers. They feel empowered.

Turabit’s Machine Learning (ML) based bots ingest and analyze customer data and respond appropriately. Here is some glance how why Turabit’s clients love our CX AI Assistants and adopting rapidly.

How Turabit AI assistant will help to serve more customers efficiently?

For a state-of-the-art CX AI smart assistant it is imperative to save cost and meet customer satisfaction at the same time. Terabit’s AI assistant meets both. Statistics speak for themselves:

10k+ Processes, issues automated; 100k+ Hours saved; 1000+ Out of box Automated resolutions

Turabit’s RPA combined with AI capabilities empower customers to self-service most issues and automate front office and backend processes.

Turabit can help you to build customer service bot across top social messaging channels to touch base with your customers.

Turabit’s unique Smart CX AI assistant opens the door for: 

  • Omnichannel retailing

Let your customers grab and convert each and every opportunity by deploying a conversational AI Chatbot for apps, social channels, websites, and more.

  • NLP technology

Enable your customers to instantly interact with your business brand, buy products, and get personalized service through an amazing conversational user interface (UI).

  • Secured transactions

Have a Virtual Agent with the host of benefits such as secured Smart AI Assistant messaging, built-in access controls, eDiscovery data retention, user authentication, and more.

  • Generate and manage actionable data

Convert your data into unique insights with our Customer Service Bot that can help you in offering customers with personalized offers, recommend products and services,s and leaving no stone unturned in acquiring customers.

Turabit believes in handing the control over to the customer. Hence embedding Turabit Smart CX AI Assistant in your sales and support process will go a long way in efficient customer service and establishing your brand value.

Let’s connect so we can customize your CX AI Assistant for your need to transforms your customer’s experience and customer support team life from mundane to meaningful, from long wait to instant service and from 10 hours service to 24 x 7 service.

CX AI Assistant Uncategorized

How to make your Customer Helpdesk work 24×7

For any flourishing business, it means an increase in the number of customers, which essentially means you have to provide a dedicated helpdesk support service, else face the wrath of a dissatisfied customer. You don’t want that do you?

Hence in the event of increased demand for out-of-hour customer helpdesk support, transitioning from weekday operations to 24/7 is the only option you are left with.

In such a scenario these business decisions and opportunity costs need to carefully talk through. You will be faced with questions like:

  • Do we need this?
  • Can we afford this?
  • What happens if we don’t provide this support?


COVID has decentralized the workforce and opened the doors of remote working. While it has many advantages from a business perspective but it can pose a real challenge when it comes to employing human resources to satisfy your customer queries and needs especially when the resources are operating from a remote location.

On the other hand, you have staff, contractors, and clients that may need access to your system round the clock, and the number of unanswered tickets is growing. You have a situation to address.

How to make your helpdesk work 24×7 is a concern that needs your attention. This is exactly where Turabit comes to the rescue. Our range of 24/7 helpdesk solutions – CX AI Assistant, IT Helpdesk AI Assistant, HR AI Assistant are available on various channels such as email, chat, ITSM ticketing, and CRM tools. These Assistants provide impeccable solutions that are suitable for both internal and outbound support.

What you need is an automated customer service that reduces your dependency on human resources for every mundane and repetitive task.

Helpdesk automation service is a systematic solution that involves the use of AI-based tools like chatbots and others such as knowledge base, a live chat that ensures no support question goes unanswered.

Turabit has proven industry experience in smart CX AI assistant that utilizes advanced AI / ML (Machine Learning) algorithm to handle frequent customer queries and requests and increase the speed of your services thus enhancing brand value.


Customers are always looking for a quick resolution. 75% of customers expect their issues to be resolved and addressed within five minutes. Failure to do so results in customers shifting to competitors which means loss of revenue.

In the following course, we will explore the different ways through which support desk software enables your business to Deliver 24/7 Support Without Staff.


Today customers are flooded with options to contact the business entity that they have already transacted with. According to a Statista report digital remains the preferred channel for customer resolution.

An ideal customer automation system is one where every customer communication [email, chat, social media post, etc.] lands at your customer support desk. Helpdesk AI Assistant and the customer service automation software running it acts as a single point of contact that helps you to stay on top of every incoming communication.


As mentioned in our previous study 53% of organizations use support Chatbot for their own IT and other departments while 20% use it for the customer service department, so you must have an escalation plan in place.

Most chatbots fail because they are not fed with probable situations to deal with. Turabit provides seamless customer service since our AI-based smart assistant is built with machine learning algorithms that make us the best helpdesk system providers in the business. When AI & ML is combined to join forces with NLP (natural language processing) it makes our chatbot as good as a human agent.

An escalation plan should be your last option.


Decreasing the load on your support team is the very basis off like you should have automated customer support in the first place. Implement 24 hours customer service knowledge bases and tools for users are inevitable for quick troubleshooting of their technical issues.


A ticketing system that is powered by AI & ML helps to integrate the end-to-end solution. In due course of time, these systems evolve based on the collection and application of historical data, instances, and insights.


By now we have covered How to make your helpdesk work 24×7 and the best practices to be followed. Now that it is answered let us quickly enumerate some of the benefits of AI Helpdesk Chatbot that would help any business to figure out why they need it ASAP.

  • Faster Response – Whether it is customers or your own support staff waiting period means a lack of motivation. This is where customer service automation solutions like AI-based smart assistants and self-service portals come in handy.
  • Reduced Overhead Costs – The best helpdesk system, is characterized by one that reduces overhead costs significantly. When a substantial number of service tickets are resolved by automation tools and self-service portals it results in a leaner customer service team.
  • 24/7 Support Becomes a Reality – 74% of customer service leaders expect an increase in contact volume through 2021 and this means providing round-the-clock support is an inevitability. Letting customers know that you are receptive to their needs whether it’s past midnight on a weekday or an early Sunday morning. It goes a long way towards the brand establishment.



Increase in demand, shortage in customer support staff and increase in support cost has been hurting customer service. It has lead to frustration, and dissatisfaction among customers often. These attributes are enough to hurt the enterprise with substantial inefficiency costs, support staff headaches causing resistance to business growth.

Leveraging NLP and NLU technologies, conversational AI-based virtual assistants can extract the intent from lengthy and probably unstructured conversations to one that is more informational. For example – cancel an account, provision a software application, manage online subscriptions, etc.

With machine learning, your chatbot learns a lot about various instances and how AI-driven CX service desks grow every day by enabling self-service automation.

Choose Turabit 24/7 support strategy and AI service desk solution to boost up your customer service desk, reduce cost and increase customer loyalty and brand value.


Let’s connect to discuss YOUR Processes, Workflow, ServiceDesk issues to develop your smart Assistant powered by AI & RPA!

Service Desk AI Assistant Uncategorized

IT Helpdesk Automation: 5 trends to watch out in 2021


In a July 2020 survey that comprised of 899 C-suite executives, senior managers across industries, and domain specialties, McKinsey & Company found that companies are now adopting digitization in internal operations, supply chains, and customer service at a pace never seen before. Adding to that, the share of digitally enabled products in their portfolio has accelerated by almost 6 years in North America.

Among the several digitally enabled products AI based chatbots have witnessed the fastest rate of adoption. Let’s take a quick look at the reason:

  • ~ 50% of large companies surveyed by Accenture and Gartner are likely to invest more in chatbots and IT help desk software.
  • The rate of adoption of chatbots is more than 60% among B2B companies and 42% in B2C (Boomtown)
  • Here’s the Industry-wide adoption of chatbots.

  • The U.S. leads the list of countries with the highest number of chatbot help desk automation sites with over 15,515 sites. This is followed by Australia (1009), UK (2667), the Netherlands (684), and Canada (1265).
  • 53% of the organizations use chatbots within their IT department to support the IT resources, 23% use them for the administrative department and 20% for the customer service department, shows a Spiceworks research.


As the Mckinsey report stated above suggests the adoption of digital tools have accelerated by almost six years in North America whereas the global adoption rate has accelerated by seven years.

Covid-19 has definitely done some good by compelling businesses to adapt and innovate new digital modes of working. isn’t it? By not deploying the right automation tools to your help desk, you are missing out on the following opportunities:

  • To improve productivity
  • Increase customer satisfaction

Manual resetting of passwords and unlocking of accounts are yesterday’s news. With AI based chatbots powering your IT helpdesk, you don’t have to spend time assigning access rights to folders and applications to other colleagues who are probably working hundreds of miles away from your office location.


Below are the trends that are going to shape IT helpdesk automation from 2021 and beyond.


The chatbot industry for both internal and external communications is up for serious disruption. While the share of internal communication (IT Department) and support system is greater than the external communication (Sales department) part, businesses are going to invest heavily in cognitive computing.

While chatbot can be rightfully called as a byproduct of cognitive computing; an application the market for which is going to increase at the rate of 30% CAGR (Compounded Annual Growth Rate) between the period 2021 to 2025. Up to $77.5 billion.


The service delivery model is rapidly undergoing a transition that was never seen before. The old service delivery model involves, an employee trying to find information via self-service portals or by submitting tickets, phone calls, emails, or by raising a ticket to get support.

This would be followed by a long waiting period since the service agents’ availability would be limited as compared to the number of problems that they have to cater to.

In the present context, with an AI-based chatbot, all that an employee needs to do is to select the right option to the questions raised by the virtual assistant, and there you are. In case you are not satisfied with the resolution executed by the virtual assistant a ticket is automatically raised and you get connected with a support agent immediately. No more waiting in queues to get your problem solved.

The stark difference between the two models is the following:

  • Employees don’t have to raise tickets and wait for hours or sometimes days for the resolution.
  • The chatbot powered by artificial intelligence is capable to resolve employee issues be it technical in nature or otherwise.



The year 2021, has been phenomenal in many ways and one among them is the rising level of conscience by both technology providers and consumers. Gone are the days of one size fits all system; this is the age of customization.

This is exactly where Turabit IT assistant comes in. Customized IT helpdesk virtual agent handle all support requests and offer quick resolutions. This enables IT helpdesk human agents to focus on more complex queries thereby saving time and expenses.

AI powered systems streamline and speed up your IT helpdesk service in the following ways:

  • Uninterrupted Tier 1 self-service as well as support.
  • Pertinent, responsive incident reporting.
  • Automatic outage alerts and reports.
  • Offer automated solutions to monotonous tasks like a reset of password or offering information with a spoken command or with a simple text message.

Here is the basic difference between conventional and Turabit’s Service Desk AI Assistant.

Conventional Service Desk support TuVA – Service Desk AI Assistant
Limited time (9 to 5 only) Anytime – 24 x 7
Wait time (hours to days) Instant resolution (seconds)
No choice or limited channel choice Multiple Omni Channel to choose from Webchat, Mobile chat, MS Team, Email, Ticketing system
Vary service from agent to agent Consistent service, consistent resolution
No or limited Analytics Advanced AI Analytics for better decision making
Manual and inconsistent Proactive, preventive solution
High Service cost 25% cost
Frustrated employees Empowered employees
Frustrated support team working on repetitive, mundane issues Empowered support team focusing on complex or business initiative


IT as a department has multiple touchpoints across various domains that run your business which makes it the only channel with access to a huge volume of data. These data carry immense insights that are critical for success in the business.

With early-stage analysis of these data can reveal problems in business and IT at an early stage which helps in reducing costs while increasing the quality of IT service delivery.

This is one of many reasons, why Turabit’s IT assistant is the best in the industry as it allows integration with other business intelligence tools that can mine valuable information from helpdesk data. Turabit’s IT Assistants can resolve tickets created through Omni-channels like ITSM – IT Service Management Software or Helpdesk ticketing systems, emails, Microsoft Teams, WhatsApp, Slack, and many more.


RPA is one of the crucial technologies that has redefined end users’ IT experience. Earlier we used to perform the operation manually but now smart AI Assistants are able to perform high volume tasks, engaging in chats and conversations with the help of RPA.

RPA handles structured data whereas AI is using semi-structured/unstructured data. Turabit’s AI Assistants powered with RPA instantly and accurately resolve user requests, issues autonomously using the dynamic knowledge base, personalized touch, and proprietary Natural Language Processing (NLP) algorithms. By automating complex workflows end-to-end, conversational RPA helpdesk saves precious time for both your employees and your support teams.

Turabit’s Smart Assistants equipped with AI and RPA are configurable and perform certain tasks like triggering appropriate responses and execute tasks in a rule-based manner without any mistakes. That’s why Turabit’s AI Assistant can increase employees’ experience to a new level, upgrade your IT support services and generate ROI within 2-4 months of deployment with a 100% money-back guarantee.

Let’s connect to discuss YOUR Processes, Workflow, ServiceDesk issues to develop your smart Assistant powered by AI & RPA!



The world of customer experience is being fundamentally reshaped by artificial intelligence. AI enables businesses to help support their customers’ needs at more touchpoints along their journey, from automatic messaging to visual search.

Businesses are increasingly dependent on artificial intelligence (AI) to automate business processes in areas such as customer support, distribution, and marketing. “50 percent of users don’t care whether they’re working with humans or AI-enabled assistants,” according to Accenture.


CX AI Assistant is a computer software program that allows a customer to connect with a business or brand in a text format that mimics human instant messaging. It is usually powered by artificial intelligence (AI). Assistants can be used on business websites, smartphone apps, and social media messaging apps, among other places. Owing to increased AI and machine-learning technologies, Assistant technology has evolved significantly in recent years, and Assistants are now a vital part of companies’ customer-service operations.

Assistants are proving to be useful aids for customer service agents as well as streamlining and maximizing customer journeys at any point of the service chain.


1. 24×7 SUPPORT 

Maintaining a customer service staff that is available at all times may be expensive, but consumers’ concerns can exist outside of business hours. Unlike humans, Assistants do not need sleep. If your staff is offline, an assistant will fill in for them by answering questions and providing resources. If they are unable to assist you, the bot will show the available hours and when a person can contact you. This will result in a way to improve customer loyalty and retention.


The apparent advantage of improved resolution speed is a direct product of 24/7 availability. Although providing a quick answer is vital, providing a quick resolution is potentially perhaps more important to the consumer. An assistant can access a database and have instant answers to questions at any time. Even if a human agent is required to interfere to offer additional assistance, Assistants reduce workload and encourage agents to concentrate on the more important steps in solving customers’ problems.


Assistants can switch a chat to a human agent if a customer’s question is difficult and needs live assistance. Since the consumer does not have to rewrite their question, this smooth integration improves the customer experience. Instead, the representative should go back and read the previous post to follow up where the bot left off with the case.

Assistants can also be linked to the customer relationship management system (CRM) to personalize customer experiences.


Assistants will also execute follow-up tasks if one of the support reps is unavailable for a switch. They will set up meetings with clients and delegate cases to the representatives to finish. Some bots will also give customers follow-up emails after they’ve resolved their problems. This type of task automation lets the staff keep track of unmet customer demands and provides a more robust customer experience.

  • The workload can be exhausting on agents’ performance, particularly when they are repeatedly assigned the same tasks. Furthermore, they can have off days when they do not perform to their full potential. Assistants have the advantage of not taking rests and operating at the same pace no matter how many times an action is repeated.

  • Money is one of the most immediate advantages of Assistants. Assistants help businesses save money by reducing the number of people they need to employ. Businesses must leverage the benefits of deploying Assistants in order to reduce costs.

    Increasing the number of support agents takes more time and money in terms of agent wages, customer service development, and maintenance costs. Furthermore, Assistants can perform boring and repetitive processes so that human agents are not required to do so. Agent performance rises when they are no longer required to respond to customers repeated and simple requests.

    As a result, it’s an excellent way to cope with an increased number of client’s demands while keeping costs down.

  • AI isn’t solely used by Assistants to answer questions. They often use it to understand and enhance the level of potential service delivered automatically.

    If an assistant understands how to respond to a question like “how do I reset password?” it will identify “from where do I reset password?” as having the same context. Related phrasing will be immediately applied to the information bank, allowing potential queries to be phrased similarly.

    Furthermore, if a customer finds an assistant’s instant response unhelpful, the Assistant is less likely to use that response in a subsequent interaction. If your assistant advises someone where to reset the password when they just want to know about user photos, a basic rating will help it understand the difference.

    You can also teach your bots to give more accurate responses. You will change the way your bot reacts by using questions that your customers have asked (or that you hope they would ask).

  • At least once in their lives, three out of five millennials have used Assistants. It indicates that consumers are happy with the Assistant and have become used to it.

    You have complete power over the voice, tone, and vocabulary used by your bot.

    The Customer Satisfaction Score (CSAT) or Net Promoter Score (NPS) are the most important indicators to use when evaluating your customer service. You’ll be able to see how often your consumers are engaging with your bot with the aid of KPIs. Based on the ratings, you can improve the bot flow to improve Assistant user service.

    Customers would want the same convenience in other encounters if they have had a few good experiences interacting with brands through the Assistant. Customer service Assistants will assist you in providing your customers with a reliable, on-brand experience.


    Robotics Process Automation


    RPA (Robotics Process Automation) helps companies to automate tasks through applications and processes in the same way that a person does. RPA software robots interact with systems and data in the same way that humans do, but with much greater precision and speed. Furthermore, bots can work 24 hours a day, 7 days a week, 365 days a year, improving productivity, freeing employees to concentrate on higher-value tasks, breaking down data silos, and extracting more value from legacy systems.

    So basically, RPA is a form of business process automation that allows anyone to identify a collection of instructions for a robot or ‘bot’ to pursue. RPA bots are capable of simulating the majority of human-computer interactions in order to complete a large number of error-free tasks at a high volume and speed.

    The key objective of the Robotics process automation process is to replace repetitive and tedious clerical tasks performed by humans, with a virtual workforce. That’s also how RPA promises to improve productivity for businesses.


    • Optimize workload
    • Introduce adaptability and flexibility to processes
    • Aim for cost-effectiveness
    • Improve communication
    • Discover automated responses and triggers
    • Implement RPA hassle-free
    • Empower the workforce
    • Insights and Analytics
    • Improved Supply chains
    • Secure enterprise data


    Robotic Process Automation (RPA) is invariably the future of automation. Robotic Process Automation is not about employing physical robots, but leveraging software robots to automate monotonous, repetitive, time-consuming, and structured tasks. According to Grand View Research, the RPA market is currently worth USD 1.1 billion and is expected to develop at a CAGR of 33.6 percent from 2020 to 2027.

    RPA investment is expected to hit $2.4 billion by 2022, as per Gartner.


    • Adoption around the world
      The advantages of RPA are becoming more widely recognized. In the coming years, there will be a significant increase in the adoption and implementation of RPA. It will be used by various processes and will be expected to handle both internal and external processes. Several businesses are going from pilots and POCs (proof of concepts) to full production, which is why RPA’s capabilities are becoming more widely known.
    • SPA Emergence
      RPA is considered to be an extension of SPA or Smart Process Automation. The aim of SPA is to automate the unstructured data tasks that robotics can’t handle on its own. Machine Learning is used by SPA instead of scripting the if/then rules. To optimize processes and build and refine models, a combination of machine learning, big data, AI, and cloud is used.
    • Increased Optimization
      Due to the rapid advancement of automation, the automated workforce (robots) has the ability to reskill and arm the human workforce in a cost-effective and productive manner. According to some estimates, the automation market will be flooded with easy-to-deploy RPA models with pre-built functionalities for automating a wide range of paperwork in an organization by 2025.
    • Integration with most tools
      RPA can be used in conjunction with most software and tools. RPA does not operate optimally on its own, and it cannot grow on its own, according to an increasing number of businesses. Consider RPA to be a large, versatile, and flexible tool that can do a lot of things when used in conjunction with most tools. When RPA is combined with human Labour and tools, it creates a full and evolved workforce.
    • Artificial Intelligence
      The next move for the RPA market is AI (Artificial Intelligence) and self-learning capabilities. RPA will evolve as we step into RPA 2.0, and AI will no longer seem to be a futuristic technology. RPA will progress beyond being a rule-based technology and will begin to incorporate AI elements. How and to what degree this is done will be primarily determined by the needs of each


    • Healthcare
      • Patient Registration
      • Billing
    • HR
      • New employee joining facilities
      • Payroll Process
      • Hiring shortlisted candidates
    • Insurance
      • Claims processing and clearance
      • Premium information
    • Manufacturing & Retail
      • Bills of material
      • Calculation of Sales
    • Telecom
      • Service Order Management
      • Quality Reporting
    • Travel & Logistics
      • Ticket Booking
      • Passenger Details
      • Accounting
    • Banking & Financial Services
      • Cards activation
      • Frauds claims
      • Discovery
    • Government
      • Change of Address
      • License renewal
    • Infrastructure
      • Issues processing
      • Account setup and communication


    • Greater Productivity
      RPA bots boost employee productivity by speeding up workflows and allowing them to complete more tasks by running processes independently.
    • Greater Accuracy
      Employees are human, so errors are bound to happen. The ability to remove processing errors is the most important aspect of robotic process automation. It necessitates research, preparation, and governance because it is not a turn-key solution. Businesses, on the other hand, should not be worried about robots making mistakes that their workers might make as long as the business processes are correctly optimized and accurately mapped.
    • Cost Savings & Fast ROI
      With an average handling time of four minutes per object, an HR service provider in the United States processed 2,500 sick leave certificates per month. They introduced an RPA solution in three weeks and achieved 90% process automation. The RPA robot collects information from the SAP transaction, inserts it into the customer’s systems, and prints it out. With error rates reduced to 0%, manual effort reduced to 5%, and processing time reduced by 80%, the HR service provider saw a return on investment in just six months.
    • Customer Experiences
      Most businesses today are finding it difficult to satisfy the wide range of consumer demands. However, in an RPA-adopted business, routine, repetitive, and boring tasks are assigned to robots, allowing employees to focus more on customer service. Companies may meet consumer needs with the aid of professional and experienced employees. Furthermore, they can comprehend the needs of the consumer through automatically created reports, such as analytics performance.
    • Analytics & Insights
      Organizations may use RPA technology to collect data on task execution that can be used for analytics. Among them are job volume patterns, cycle times, defects, and exceptions. Perceptions gained from this type of research can help in a variety of ways, including promoting process improvement initiatives. When data is effectively collected, compared, and distinguished from data collected in other areas, it allows for better micro and macro decision making. Furthermore, the organization should identify holes in business processes that could be further optimized to improve performance.
    • Scalability
      Robotic process automation allows you to adapt to the needs of the moment in terms of the form and number of tasks required to achieve any given goal. Robotic automation can assist companies in meeting specific objectives’ requirements. And small businesses can handle the unpredictably changing consumer demands thanks to the robotic workforce’s ability to adapt to time and task-specific requirements.


    Artificial Intelligence (AI) has become an essential aspect of the future. This refers to information technology (IT) as well as to many other sectors that depend on it. Artificial Intelligence has taken over traditional computing methods, but it has also changed the way industries perform. In a comparatively short period of time, leading AI has transformed everything from science and engineering to modernizing finance and healthcare sources.

    AI and related technologies have a positive influence over IT sector functions. Since the IT sector is all about computers, software, and other data transmissions, Artificial Intelligence can play a relatively important role in this domain.

    The AI industry is projected to hit 190 billion dollars by 2025, according to statistics. Global investment in cognitive and AI applications will hit $57.6 billion by 2021, while AI solutions will be used by 75 percent of business users. As far as national GDPs are concerned, AI is projected to raise China by 26.1% and the United States by 14.5% by 2030.


    In order to resolve and optimize many key problems in the IT sector, the digital transformation and adoption of AI technologies by industries have resulted in new advances.


    When it comes to protecting sensitive records, data confidentiality is of crucial importance. Private companies, along with, government organizations store loads of consumer, strategic, and other data types that need to be guarded at all times. Artificial Intelligence can provide the requisite protections through algorithms to help develop a layered security structure that requires a high-security layer within these systems. AI will help recognize future risks and violations of data while also offering the solutions and provisions needed to prevent any current vulnerabilities in the framework.


    Artificial Intelligence often uses various algorithms that, when it comes to finding and overcoming software glitches, and when it comes to writing code, can be applied directly to support programmers. Artificial Intelligence has been created for coding purposes to provide recommendations that increase performance, boost productivity, and give the developers safe, bug-free code.

    The AI system would provide helpful feedback by looking at the structure of the code, improving overall efficiency, and helping to cut downtime during the development process.

    Automation can help your team stay lean while handling larger volumes of tickets with ease. In other words, automation helps you work smarter, not harder.


    The advantage of automation is that, without human interference, almost any piece of work can be completed. IT departments can go a long way in automating backend processes by leveraging deep learning frameworks that can allow multiple cost reductions and minimize the human hours spent on them. As their algorithms learn from their failures and enhance their efficiency, various AI-enabled techniques can also improve over time.

    AI is expected to increasingly help IT, support teams, in other ways too, such as active directory operations, email & DL support, software & outlook troubleshooting, most important performance improvement – all mundane level-1 tickets taken care of automated.


    If we take Desktop IT support alone, Level 1 support costs businesses on average $22 and Level 2 costs rise to $84 as more people are becoming involved in the resolution process. On average, internal support teams receive 492 tickets per month, per Zendesk. it takes 24.2 hours on average for businesses to provide the first response to an internal support ticket.

    Automating these tasks removes the drudgery from your help desk analysts and allows them to not have to wait longer and have their issue resolved on an immediate basis, which will allow them to spend more time on resolving more complex queries, meaning they can get customers back to work faster as well as giving them far better job satisfaction.


    Artificial Intelligence is tied in with foreseeing problems; it very well may be a valuable and necessary method in forecasting issues during the forming stage, which can be solved, with no hiccups; this likewise resolve issues as they emerge, and engineers don’t need to stand by until the last stage to boost the efficiency of the program.


    In the software development cycle, quality assurance is all about ensuring that the best resources are used. Basically, by utilizing Artificial Intelligence systems, engineers can utilize AI instruments to fix bugs and issues inside the applications and change them consequently during improvement cycles.


    Frequently, the hosting server is bombarded with millions of requests on an everyday premise. In turn, the server is expected to open web pages that users demand. Because of the continuous inflow of requests, servers can also become unresponsive and end up easing back down over the long haul. AI will help optimize the host server as a service to enhance customer service and boost operations. Artificial Intelligence can be gradually used to align IT staffing criteria and smooth the existing company’s technical functions as IT needs improvement.

    Artificial Intelligence has assisted engineers to extend expanding their viewpoints and undertake tasks that were otherwise thought difficult. In product development, architectural design, and even driving quality assurance, developers have seen a dramatic change; this transformation has further contributed to the valuable advancement of technology development, making it immediate success for developers and companies.


    Top 6 Uses of AI Assistant in Healthcare


    The impact of artificial intelligence on healthcare is remarkable. As per Market Research, the global healthcare chatbots market is expected to reach USD 316.85 million by 2023, at a Compound Annual Growth Rate (CAGR) of 21.10 percent over the forecast period (2018-2023). The interest in smart AI assistant improvement has immensely increased across healthcare enterprises and associations after the COVID-19 pandemic.

    Chatbots are making healthcare easier for millions of people around the world. Strengthening the accessibility of quality healthcare in remote areas and emergencies have been one of the most significant features of the Healthcare smart AI assistant.

    A Crunchbase study says that over $800 million was invested in developing a health chatbot service through nearly 14 recognized startups.



    Using these smart AI assistants, Patients would be able to book appointments with their doctors in less than 60 seconds, without any human interactions.

    Patients could choose their doctor, choose a scheduled time frame, check doctor’s availability, input their medical details, and add condition information to remind the doctor of the reason for the appointment.


    Patients would be able to get the answer to their frequently asked questions 24×7. Nowadays, Clinics and Hospitals use Smart AI Assistant to make search easy for patients. To find the details they need, patients don’t need to contact the doctor or spend time navigating the website.

    For example, smart AI assistants will answer questions such as what the reimbursement tariffs are, which records are necessary for treatment, what business hours are, and how much the insurance pays.


    Smart AI assistants will be helpful to patients who require regular healthcare assistance. Bots can have a comprehensive track record of health conditions and help interpret the prescribed management medication results.

    The healthcare chatbot is also helpful in monitoring specific details that keep you consistent with your priorities with your specific health-related criteria.


    Healthcare is being transformed by Artificial Intelligence (AI). In several targeted healthcare applications, AI software solutions are currently being developed or launched for use, including medical diagnostics, patient management, and healthcare systems for learning.

    In order to facilitate clinical decision-making and/or public health policymaking, AI algorithms and software are being developed. In order to sort, coordinate, and check for trends in large data sets from different sources, AI algorithms usually use computerized predictive analysis algorithms to offer a probability analysis on which healthcare providers can make fast and knowledgeable decisions.


    Smart AI Assistant can be used to automate invoicing, in addition, it will be helpful in billing inquiries and the pre-authorization process, these bots would also assist doctors.


    Research showed that nearly 50% of patients do not take their drugs accurately or entirely fail to do so.

    Healthcare smart AI assistants deliver patients helpful reminders. Such alerts encourage patients to take their pills on time and may even be reminded of their doctor’s appointment.


    Features of Artificial Intelligence



    We found that task to be boring or dull. However, with machines, you never have to experience similar boringness. An Artificially intelligent system will do and continue doing the task as commanded to it. No matter how many times it has to do it. Also, such systems only make tedious, vast tasks easier for the users.


    An artificially intelligent system stores multiple information about multiple entities from multiple sources. All of this appears on the system in a synchronous or a simultaneous manner. So, AI enabled systems have gone beyond and gathered and analyzed data that can prove to be useful for all.


    • Imitates Human Cognition:

    We call it an artificially intelligent system because it essentially imitates or mimics how the human mind thinks and solves problems. This is what makes AI unique. Like humans study their environment, draw inferences and then interact with it accordingly. And Ai also successfully attempts to interpret the environment and act suitably.


    • Futuristic:

    Ai-enabled systems are designed to observe and react to their surroundings. They not only perceive the environment and take actions accordingly but also keep in mind the situations that might come up in the near future.

    • Prevent Natural Disasters

    We are all friendly with using AI for our businesses for our gaming profiles and more such purposes. Now it is our turn to take AI one step ahead and hone it so that governments can use it in disaster management. Artificially Intelligent system when fed with data about thousands of previous disasters.

    • Facial Recognition and Chatbots:

    The facial recognition system enables a machine to unlock or provide authorized access to an individual by verifying or identifying a person’s face. A camera fit into the machine senses the face and it is compared to a previously stored face in its memory.


    AI is no more the technology of the future. It is now something that we are living alongside. It is as vast as a child’s imagination. There are so many things that make AI unique and humans are busy enhancing these technologies. Today, with the advancement of technology, we are living and breathing artificial intelligence.