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AI at workplace – Top 4 use cases

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Posted on Apr 09, 2021
by Amol Gavai ( Vice President – Business Development)

AI at workplace – Top 4 use cases

Artificial intelligence (AI) is a combination of many different technologies/tools working together to enable machines to work and learn with human-like levels of intelligence. AI has made a lot of difficult, boring, repetitive things to be done quickly and more efficiently. AI helps human intelligence, to improve the quality, effectiveness, and creativity of employee decisions using data analytics and pattern prediction capabilities. Use of AI in the workplace is becoming more popular as businesses are using this technology to free up employees from spending time on non-productive/un-important/mundane activities, so that they can focus more on important tasks.

“According to a study by Accenture, artificial intelligence can increase productivity by 40% or more. Through data collection, automation, decision making, and cybersecurity, AI can boost profitability by an average of 38%. This can help free up valuable time for employees.”

Here are some examples and ways to use AI at workplaces –

  1. AI powered chatbots to enhance customer satisfaction: Many companies are using 24x7 AI powered chats to do the customer service chats. The chatbots are designed and programmed to answer in a realistic and natural matter. Customers have short attention spans, and they are looking for answers quickly. The customers can get personal and accurate information through chatbot interactions, thus enabling companies to save on customer service employees/resources.
  2. AI enabled process automation to save time and energy in repetitive tasks: AI enabled automated bots allow the tedious, boring, repetitive, unpopular, complex tasks to be completed quickly yet accurately as compared to human beings.
  3. AI Analytics for better decision making: Big data and data analytics enable smarter, faster, and better decision-making for a business. It can also help in insight generation and process optimization. Now-a-days businesses generate and collect more data than yesteryears. However, the biggest challenge is understanding which data is actionable, important, and relevant. AI can allow to extract, analyse all the data relevant to a business and provide valuable insights into consumer behaviour, demographics, and buying patterns. Using AI and machine learning, systems can be more precise in their analysis while adapting to new information such as new product introductions, supply chain disruptions or sudden changes in demand.
  4. AI automated recruitment process: The HR department would know how much time and energy is spent on finding eligible candidates, reviewing resumes, and interviewing multiple potential employees. HR departments of some businesses have streamlined their recruitment processes using AI and machine learning enabled solutions, thus ensuring huge savings, and making this very complex process smoother.

Aress has developed some ready-to-deploy AI models, Chatbots and solutions. These AI powered solutions are highly customizable to address business specific needs. They make use of OCR, NLP techniques, TensorFlow framework along with Keras libraries and could be leveraged to improve business wide process automation and make products, services better. I am available at Please feel free to get in touch with me for your questions and requirements.

Category: Data Analytics, RPA & AI

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