Many enterprises are turning to conversational chatbots to improve productivity within their organizations. Chatbots are rapidly entering the modern workplace, aimed to make an employees’ life simpler. Chatbots relieve employees from repetitive tasks so that people can work faster, seamlessly, and intuitively.
It can significantly increase employee productivity and foster constructive engagement by assisting them in automating mundane tasks like answering helpdesk queries, on-boarding new employees, applying for leaves, or tracking leave balance, answering FAQs, scheduling meetings, and reminders, and much more. The list is endless.
This can lead to cost savings, scaling up of operations, and powerful automation opportunities, where chatbots trigger actions and orchestrate processes across a range of applications.
Here are some ways how AI-Powered conversational Chatbots improve workplace productivity?
- An intuitive and seamless conversational interface
Personal tech is shaping the user expectation from tech at the workplace. Today’s workforce prefers digital communications tools such as messaging apps over phone-based conversations and face to face meetings.
Conversational chatbots are automating a lot of repetitive HR activities especially managing leave, time, and attendance module for employees. With its ability to apply, check and regularize timesheets, leaves and daily attendance make a strong use for your organizations reducing task redundancy and improving employee productivity.
According to Deloitte Human Capital trends, phone-based conversations and face to face meetings are down by 30% and 44% respectively, instant messaging, work-based social media, and collaboration platforms have grown by 62%, 69%, and 70% respectively.
- Alleviate app fatigue
On average, an employee uses ~10 apps (20 for DevOps) daily. This is causing app fatigue and is leading to a significant decline in workplace productivity – ~50% of workers say, they must switch between multiple apps just to get the work done and 70% say that work would be better if they could get all the important information from their apps on a single window. In this context, conversational chatbots are emerging as a winner in the enterprise productivity landscape through several potential benefits over traditional GUIs.
Jinie – An AI powered conversational chatbot brings all the necessary data from almost all the sliver-based apps that organizations might be using to one single place. Thus, creating a single access point for employees to streamline all day to day work-related tasks.
- Integration Capabilities
Users can operate several business applications at once with a chatbot. It enables users to invoke multiple chatbot actions with team members at the same time and compresses multistep tasks into a single command – such as, ‘Get the list of closures in the last 2 months and email it to X is one command that uses 3 applications – CRM, Excel, Outlook.
AI conversational chatbot systems enable enterprises to streamline business processes and increase productivity allowing organizations to do more with numerous integration possibilities. For Example – Jinie – An AI-powered Chatbot seamlessly integrates with video conferencing tools such as Zoom or MS Teams to simply plan a meeting right from Zippi.
- Process Automation
One major advantage of using conversational chatbots is the automation of mundane tasks such as answering frequently asked questions (FAQs) repetitively for different customers. For instance, text-based or voice-activated chatbots offer a seamless experience to users. Chatbots are designed to perform multiple tasks simultaneously and freed from errors, which humans usually find difficult to try. In other words, they will release the precious time of your employees, ease their workload and energy, and permit them to devote themselves to core business activities for growth and success.
How would like the ability of an AI conversational chatbot to send outlook mails in a matter of a few clicks? If this entices you, then Jinie does exactly that like a breeze.
- Multilingual and Contextual Support
Chatbots exhibit the intelligence to comprehend and process natural languages, thanks to AI and Natural Language Processing (NLP). Their multi-language support comes in handy while using them in different regions marked by different languages. Chatbots also is intelligent enough to know the context of a conversation, and identify the aim of customers’ queries, thereby allowing employees to supply the foremost appropriate responses.
- Personalized Attention
Giving personal attention to every employee might not be feasible sometimes, especially in large organizations. Apart from the high costs that accompany such a proposition, it might require logistics on a mammoth scale. That’s where an interactive technology such as a chatbot can serve as a reliable personal assistant to handle a variety of tasks normally performed by human assistants. Unlike humans, these sorts of software don’t feel tired they don’t need breaks, and that they don’t sleep in the least. Their services are available 24×7. They can schedule meetings, send reminders, set up emails, book tickets, and so on.
Conversational chatbots are gaining strong traction with its ability to understand and provide personalized attention to its users. One such example would be where Jinie reminds the user of all the actionable lined for the day such as pending tasks, emails and much more as soon as you start your day.
- Data Security
Data security is a key consideration for any enterprise, particularly when dealing with regulatory frameworks and customers’ personal information. Flexibility is essential in an AI conversational chatbot to meet today’s exacting security conditions, across multiple geographies and legal requirements.
Chatbots have come a long way from being supporting functions to spearheading the change management agenda in an organization. The entire focus remains around how AI chatbots can actually improve productivity at the ground level and their capability to automate the mundane tasks.
Even though we have many examples of advanced, intelligent virtual assistants even today; the technology is still in the early phases. There will be a shift away from chatbots being simply reactive, as AI becomes more advanced and chatbots collect more data, bots will begin to develop the ability to predict what a user’s next move might be, or what problem they may be experiencing, and act on it in real time.
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