AI technology completes the heavy lifting part of the tasks for individuals and reduces their workload. The same functionality of Generative AI applies to enterprises and businesses. If you want to reduce your enterprise's workload and automate repetitive tasks, Generative AI tools are your saviour. Since you can generate unique visuals and human-like textual content with Generative AI tools, you can utilize it in different use cases according to the needs of your Enterprise.

In this article, we will explore what Generative AI is and its enterprise use cases.

Ready? Let's dive in!


  • Generative AI reduces workload and automates repetitive tasks for enterprises.
  • Generative AI analyses and learns data to generate unique outputs like text, visuals, and code.
  • There are ready-to-use and customizable Generative AI tools, each with its own advantages.
  • Generative AI can improve customer support, content generation, sales/marketing, and coding tasks.
  • Generative AI can streamline employee management and beginner employee onboarding.
  • If you are looking for an AI co-pilot with which you can collaborate your enterprise data and use it in your enterprise tasks, TextCortex is the way to go.
  • TextCortex offers a conversational AI to answer employee questions and share knowledge.
  • TextCortex provides strong security and privacy safeguards for enterprise data security.

Generative AI Overview

Generative AI is a program that analyses and learns text, visuals, code, and other types of data. This data is used in different ways depending on the purpose of the AI and is learned by Generative AI to generate the perfect output. For example, large language models (LLMs) are used for text and language, and GANs and VAEs are used for images or videos. By analysing this data, Generative AI learns the meanings in poems, the intonations in images, and the connections of different types of data.

How Does Generative AI Work?

Generative AI relies on a command to produce output using its diverse training data. Upon receiving a user prompt, the AI tool scrutinizes it, leveraging its trained data, parameters, and patterns to generate the desired output. By selecting data with the highest probability based on its parameters, Generative AI creates output quickly, completing the entire process in just a few seconds.

While each output from Generative AI is original and distinctive, it adheres to specific patterns. Consequently, the quality of output from an AI tool greatly depends on its training data and parameters. For instance, if an AI tool is trained to create fictional narratives, using it to generate content like emails or website copy may result in unsatisfactory outcomes.

Generative AI Tool Types

It is possible to divide Generative AI tools into two different categories; the ones that are ready to use, and the ones that you can customize with your own data.

Ready-to-use AI tools are those that are trained by their developers and have the same parameters for everyone, such as ChatGPT or Midjourney. The advantage of these AI tools is that you can start using them by entering a prompt without needing any further action. With these tools, you can accomplish the general tasks of your enterprise.

AI tools that you can customize allow you to add your own data and generate output using this data. The advantage of such AI tools is that you can use them more functionally in specific tasks such as customer support or data engineering. By using these tools, you can create a Co-pilot for your enterprise use cases and increase your overall efficiency.

Generative AI Enterprise Use Cases

There are different methods of adapting both ready-to-use AI tools and customizable AI tools to your enterprise use cases. Generative AI tools are suitable for a wide range of enterprise use cases with their code, text, and image generation capabilities. Let's take a look at the generative AI enterprise use cases.

Knowledge Management & Collaboration

Offering both ready-to-use and customizable features, TextCortex is a reliable AI co-pilot that you can use to boost the efficiency of your enterprise from various aspects and is designed to assist you in knowledge management.

You can integrate all your enterprise data into TextCortex and use it in all your enterprise tasks, from content generation to better knowledge management. 

See the results from one of our case studies:

  • TextCortex was implemented for Kemény Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 24 hours/month on average).
  • AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
  • Employee confidence in using and working with AI increased by 60%.
  • The implementation results in a 28x return on investment (ROI).

TextCortex offers ZenoChat, a conversational AI with which you can integrate your enterprise data. You can use ZenoChat both to answer the questions of your new employees and for knowledge sharing. ZenoChat allows employees to quickly find and retrieve information from a large database. In this way, employees can take action and increase their productivity by accessing the data they need to complete tasks through natural language prompts.

As a generative AI assistant, TextCortex smoothes the initial training and onboarding process by giving beginner staff access to company resources. New employees can get the information they need by asking TextCortex questions about the enterprise or asking for a tutor.

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Moreover, TextCortex deploys industry-leading safeguards to keep your enterprise's data safe and private. You can be sure that your enterprise's data remains safe with the security and privacy standards provided by TextCortex.

Customer Support and Customer Service

Although traditional chatbots are used in customer service tasks, it is possible to use Generative AI tools to evolve them into a better version and boost customer satisfaction. While traditional chatbots only give pre-prepared standard answers to customers, AI chatbots can give unique and needed responses to each customer.

See how Klarna achieved great success implementing AI for their customer support operations:

  • The AI assistant has had 2.3 million conversations, two-thirds of Klarna’s customer service chats
  • It is doing the equivalent work of 700 full-time agents
  • It is on par with human agents in regard to customer satisfaction score
  • It is more accurate in errand resolution, leading to a 25% drop in repeat inquiries
  • Customers now resolve their errands in less than 2 mins compared to 11 mins previously
  • It’s available in 23 markets, 24/7 and communicates in more than 35 languages
  • It’s estimated to drive a $40 million USD in profit improvement to Klarna in 2024
generative ai use cases - customer support

Moreover, Generative AI chatbots that you can customize with your enterprise data can respond to customers and provide stability using your enterprise's tone of voice. The advantages of AI chatbots as customer service include cost-efficiency, 24/7 availability, and fast response time. If you want to take your enterprise's customer service to the next level, we recommend you use generative AI chatbots.

Content Generation

One of the enterprise use cases of Generative AI tools is used on the operational side to generate content such as blog posts, how-to guides, FAQs, and social media posts.

At this stage, you can generate general content through ready-to-use AI tools or generate target-focused content with customizable AI tools such as TextCortex. Contents you can produce using Generative AI tools include;

  • Blog Posts
  • Product Descriptions
  • Emails
  • Marketing Copies
  • Social Media Captions
  • Articles
  • Hashtags
  • Name Copies
  • Images

Sales and Marketing

In today's digital age, the most effective method of marketing is to use digital communication methods such as email, social media, and SMS. However, a customer often deletes a generic marketing email addressed to everyone without reading it.

But you can use generative AI tools to boost your enterprise's marketing! With Generative AI tools, you can analyse your customer base and generate personalized marketing emails and newsletters for each customer. In this way, you can introduce the products or services your customers need and increase your customer loyalty.

Code Generation

Software developers and programmers use generative AI to reduce their workload and automate repetitive coding tasks. Experienced developers can leverage generative AI to complete complex coding tasks at higher performance. Moreover, advanced LLMs such as GPT-4o and Claude 3 Opus can detect and correct errors in the given codes or provide an error summary.

generative ai enterprise use cases - code generation

In addition, Generative AI tools can test the codes to work as they should and ensure that they meet quality standards. In other words, Generative AI benefits its users at every stage of coding tasks. You can use it to complete your enterprise's coding tasks and increase your coding efficiency.

Enterprise and Employee Management

It is possible to use AI tools such as TextCortex, which can integrate your enterprise data, to complete team tasks such as employee-manager interactions, performance evaluations, feedback, road maps, knowledge sharing and task processes. Using Generative AI tools, you can manage the tasks that all employees need to complete and calculate the process percentage of the road map containing plans. Among the most important factors for the efficient operation of an enterprise are improving the quality of communication between employees and managers and ensuring overall communication. When an employee knows what to do and the highlighted tasks, he/she can work more efficiently and increase the efficiency of your enterprise.