ChatGPT has recently celebrated its first birthday. Within one year, companies have found countless ways to improve their daily operations using the OpenAI chatbot. Departments such as HR, marketing, IT, and others have discovered invaluable support in ChatGPT, leading to enhanced work efficiency and innovation in approaching daily tasks. In this article, we will explore specific examples of using ChatGPT that may inspire the implementation of similar solutions in your company. Keep reading.

ChatGPT use cases in Human Resources

AI chatbots like ChatGTP are widely used in HR departments. They free HR professionals from tedious, repetitive tasks, such as recruiting or preparing training materials for new hires. The first example of ChatGPT’s use in recruitment is the initial evaluation of candidates’ resumes. The AI algorithm analyzes the resumes to ensure that they meet the requirements of the position, allowing the HR department to look more closely at the documents of the best applicants.

To take full advantage of this capability, it would be best to choose ChatGTP Plus, which allows you to attach files. This way, you can:

  • present Chat GTP with the requirements for a specific position,
  • attach the candidate’s resume – of course, stripped of personal information and elements to identify the person to whom it applies,
  • specify the format – for example, provide additional evaluation criteria or ask ChatGPT to summarize the candidate’s profile.

However, you should be cautious about relying solely on ChatGTP’s statements. It’s not advisable to fully depend on artificial intelligence to assess the potential of a person who applied to our company. Therefore, it is worthwhile to consider this step as preliminary screening, but one that should be verified by a human.

Another use case for ChatGPT is generating materials and training programs for employees. Based on information about the company’s structure, positions, and developmental needs, artificial intelligence can assist in creating personalized training paths and even determining priorities for each of them.

The chatbot can also help generate personalized responses to repetitive employee questions, for example, regarding:

  • benefits,
  • vacations, or
  • settlement of business trips.

If we have a document prepared containing all this information, we can create a thread where we attach the document and then ask ChatGPT Plus to provide answers based solely on the document. This way, it’s enough to add additional questions in the same thread to receive an answer ready for sending to the employee.

This relieves the HR department from providing standard information. However, we must also be cautious here — ChatGPT can sometimes “lie” if it lacks the necessary information to answer a question.

Another noteworthy use case for ChatGPT in HR is the generation of documents based on job descriptions. This is especially valuable in organizations experiencing dynamic changes, streamlining both recruitment and internal human resource management processes.

By analyzing opinions and feedback from employees, ChatGPT can provide valuable insights for the HR department regarding areas that require improvement or change. This is another example of how ChatGPT can contribute to optimizing the work environment, as well as improving processes and the employee experience.

Department: Human Resources (HR)

ChatGPT use case
Initial evaluation of CVs Increasing the efficiency of the recruitment process
Developing training programs and materials Improving the process of employee tr
Automating answers to frequently asked questions Improving internal communication
Support in creating and updating job descriptions Providing up-to-date and accurate information on positions
Analyzing employee feedback Understanding employee needs and expectations

Applications of ChatGPT in the IT department

ChatGPT can also be used in IT departments. While there are dedicated tools for developers, such as Github Copilot, ChatGPT can also speed up many technical tasks.

In IT, ChatGPT is useful for tackling repetitive technical questions. Instead of IT staff creating responses each time, they can start a thread or use GPTs with the right knowledge. This helps the chatbot provide quick and detailed information. To make it even easier, organizations can integrate with a knowledge base and automate responses, but this requires more commitment and suitable solutions.

Another example is using artificial intelligence to generate code snippets and debug based on the description of a given technical problem. This can significantly speed up the work of programmers.

In addition, the AI algorithm can greatly accelerate the process of creating technical documentation by analyzing code and comments. This frees programmers from having to describe their work, or the organization from having to hire additional specialists to update it.

One of the interesting uses of ChatGPT is also looking for security gaps in our software. This will help reduce vulnerability to hacking and malware attacks, so IT administrators can better prepare to protect against cyber threats.

What is more, ChatGPT can help optimize code, pointing out shortcomings and ways to improve the performance of IT solutions created in the company.

Department: IT

ChatGPT use case
Automating technical support and FAQs Improving the speed and quality of IT support
Generating code and debugging Accelerating the software development process
Managing technical documentation Providing up-to-date and consistent technical information
Searching for security vulnerabilities Strengthening IT security by creating better software
Optimizing code Improving the efficiency of IT solutions

Using ChatGPT in marketing

Marketing is a field where creativity meets data analysis. ChatGPT use cases are applications in marketing that can significantly impact campaign effectiveness and understanding of the market.

One of the ChatGPT use cases is generating advertising content. Start by collecting the best content your company has published. Show these examples to ChatGPT with a brief similar to what you’d give a content creator. The algorithm will then analyze your target audience to generate effective slogans and longer ad texts in your company’s communication style.

The chatbot will also make it easier to draw insights from market trends or customer feedback. All you need to do is prepare them as a file that can be attached to ChatGPT Plus or pasted into the chat window. Precise questions concerning summaries, conclusions, or crisis management tips will allow you to optimize your marketing efforts and strategies.

ChatGTP use case

Source: DALL·E 3, prompt: Marta M. Kania (

By using ChatGTP or AI tools, we can significantly speed up crafting emails for clients, including newsletters and targeted offers. It’s worthwhile to remember as personalization is predicted by McKinsey analysts to be a major technological trend in 2024.

Does your company need viral social media posts? That’s another ChatGPT use case. While it might be a bit challenging, showing ChatGPT successful past posts and guiding it on the copywriting techniques to use can yield surprisingly good results. The posts may also be appropriately embellished with emojis and hashtags.

Department: Marketing

ChatGPT use case
Generating marketing content Improving the quality and creativity of marketing materials
Analyzing market trends Better understanding of the market and customer needs
Personalizing email campaigns Enhancing the brand presence on social media

How can research and development (R&D) benefit from an AI chatbot?

In R&D departments, the main ChatGPT use case is to help you quickly analyze trends and generate new concepts. In this way, you can significantly accelerate:

  • developing new concepts — ChatGPT can help generate fresh concepts for products and improve existing solutions. However, be careful when sharing sensitive details about planned innovations, as the information in the chat may be used to train the model. This means it could be seen by OpenAI staff and become part of future versions of ChatGPT.
  • applying for funds — another way to use ChatGPT is to analyze contest rules and speed up the creation of grant applications. Just provide it with the format requirements and detailed project descriptions, and it should be able to generate a high-quality application.

When using ChatGPT and other generative AI tools, always double-check the information in the materials they create. This is especially important if the grant for your company’s development relies on these materials.

ChatGTP use case

Source: Stable Diffusion, prompt: Marta M. Kania (

ChatGPT in project management

Project management is an area where ChatGPT can be extremely helpful, especially in the context of:

  • improving communication — answering questions about the project, its objectives, KPIs, or weaknesses,
  • task organization — for example, dividing tasks among team members with similar responsibilities, and
  • data analysis — both historical data related to team activities and external data, such as market trends or product reviews.


As you can see, ChatGTP has many uses in business. It’s worth considering in which areas of our company the chatbot could take over repetitive tasks, generate useful analyses, or support decision-making. This is a promising direction for the development of artificial intelligence, which may soon become a standard across many industries.

The scope of ChatGPT use cases is evolving dynamically as the tool itself changes. Not long ago, it was a simple text-based chatbot. Today, you can converse with it using voice. In the paid version (ChatGPT Plus), you can additionally:

  • create images with DALL·E 3,
  • use the mobile device’s camera to show ChatGPT pictures of documents or the task environment, and
  • make your own “special task” assistants, GPTs that remember instructions to further speed up repetitive tasks.

As AI advances, chatbots will get better at understanding commands and integrating information from text, sound, images, and motion. Their learning abilities already exceed those of humans today, as they can learn from experiences and analyze massive datasets.

As a result, chatbots like ChatGPT will increasingly be integrated into the daily work of departments such as HR, marketing, sales, and IT. As a result, we can expect that in a few years, seamless collaboration between humans and AI will become standard in most modern organizations. The key will be adapting to changes and addressing the ethical and security challenges of these technologies.

ChatGTP use case

If you like our content, join our busy bees community on Facebook, Twitter, LinkedIn, Instagram, YouTube, Pinterest, TikTok.

ChatGPT use cases. 18 examples of how to improve your business with ChatGPT in 2024 | AI in business #61 robert whitney avatar 1background

Author: Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

AI in business:

  1. Threats and opportunities of AI in business (part 1)
  2. Threats and opportunities of AI in business (part 2)
  3. AI applications in business - overview
  4. AI-assisted text chatbots
  5. Business NLP today and tomorrow
  6. The role of AI in business decision-making
  7. Scheduling social media posts. How can AI help?
  8. Automated social media posts
  9. New services and products operating with AI
  10. What are the weaknesses of my business idea? A brainstorming session with ChatGPT
  11. Using ChatGPT in business
  12. Synthetic actors. Top 3 AI video generators
  13. 3 useful AI graphic design tools. Generative AI in business
  14. 3 awesome AI writers you must try out today
  15. Exploring the power of AI in music creation
  16. Navigating new business opportunities with ChatGPT-4
  17. AI tools for the manager
  18. 6 awesome ChatGTP plugins that will make your life easier
  19. 3 grafików AI. Generatywna sztuczna inteligencja dla biznesu
  20. What is the future of AI according to McKinsey Global Institute?
  21. Artificial intelligence in business - Introduction
  22. What is NLP, or natural language processing in business
  23. Automatic document processing
  24. Google Translate vs DeepL. 5 applications of machine translation for business
  25. The operation and business applications of voicebots
  26. Virtual assistant technology, or how to talk to AI?
  27. What is Business Intelligence?
  28. Will artificial intelligence replace business analysts?
  29. How can artificial intelligence help with BPM?
  30. AI and social media – what do they say about us?
  31. Artificial intelligence in content management
  32. Creative AI of today and tomorrow
  33. Multimodal AI and its applications in business
  34. New interactions. How is AI changing the way we operate devices?
  35. RPA and APIs in a digital company
  36. The future job market and upcoming professions
  37. AI in EdTech. 3 examples of companies that used the potential of artificial intelligence
  38. Artificial intelligence and the environment. 3 AI solutions to help you build a sustainable business
  39. AI content detectors. Are they worth it?
  40. ChatGPT vs Bard vs Bing. Which AI chatbot is leading the race?
  41. Is chatbot AI a competitor to Google search?
  42. Effective ChatGPT Prompts for HR and Recruitment
  43. Prompt engineering. What does a prompt engineer do?
  44. AI Mockup generator. Top 4 tools
  45. AI and what else? Top technology trends for business in 2024
  46. AI and business ethics. Why you should invest in ethical solutions
  47. Meta AI. What should you know about Facebook and Instagram's AI-supported features?
  48. AI regulation. What do you need to know as an entrepreneur?
  49. 5 new uses of AI in business
  50. AI products and projects - how are they different from others?
  51. AI-assisted process automation. Where to start?
  52. How do you match an AI solution to a business problem?
  53. AI as an expert on your team
  54. AI team vs. division of roles
  55. How to choose a career field in AI?
  56. Is it always worth it to add artificial intelligence to the product development process?
  57. AI in HR: How recruitment automation affects HR and team development
  58. 6 most interesting AI tools in 2023
  59. 6 biggest business mishaps caused by AI
  60. What is the company's AI maturity analysis?
  61. AI for B2B personalization
  62. ChatGPT use cases. 18 examples of how to improve your business with ChatGPT in 2024
  63. Microlearning. A quick way to get new skills
  64. The most interesting AI implementations in companies in 2024
  65. What do artificial intelligence specialists do?
  66. What challenges does the AI project bring?
  67. Top 8 AI tools for business in 2024
  68. AI in CRM. What does AI change in CRM tools?
  69. The UE AI Act. How does Europe regulate the use of artificial intelligence
  70. Sora. How will realistic videos from OpenAI change business?
  71. Top 7 AI website builders
  72. No-code tools and AI innovations
  73. How much does using AI increase the productivity of your team?
  74. How to use ChatGTP for market research?
  75. How to broaden the reach of your AI marketing campaign?
  76. "We are all developers". How can citizen developers help your company?
  77. AI in transportation and logistics
  78. What business pain points can AI fix?
  79. Artificial intelligence in the media
  80. AI in banking and finance. Stripe, Monzo, and Grab
  81. AI in the travel industry
  82. How AI is fostering the birth of new technologies
  83. The revolution of AI in social media
  84. AI in e-commerce. Overview of global leaders
  85. Top 4 AI image creation tools
  86. Top 5 AI tools for data analysis
  87. AI strategy in your company - how to build it?
  88. Best AI courses – 6 awesome recommendations
  89. Optimizing social media listening with AI tools
  90. IoT + AI, or how to reduce energy costs in a company
  91. AI in logistics. 5 best tools
  92. GPT Store – an overview of the most interesting GPTs for business
  93. LLM, GPT, RAG... What do AI acronyms mean?
  94. AI robots – the future or present of business?
  95. What is the cost of implementing AI in a company?
  96. How can AI help in a freelancer’s career?
  97. Automating work and increasing productivity. A guide to AI for freelancers
  98. AI for startups – best tools
  99. Building a website with AI
  100. OpenAI, Midjourney, Anthropic, Hugging Face. Who is who in the world of AI?
  101. Eleven Labs and what else? The most promising AI startups
  102. Synthetic data and its importance for the development of your business
  103. Top AI search engines. Where to look for AI tools?
  104. Video AI. The latest AI video generators
  105. AI for managers. How AI can make your job easier
  106. What’s new in Google Gemini? Everything you need to know
  107. AI in Poland. Companies, meetings, and conferences
  108. AI calendar. How to optimize your time in a company?
  109. AI and the future of work. How to prepare your business for change?
  110. AI voice cloning for business. How to create personalized voice messages with AI?
  111. Fact-checking and AI hallucinations
  112. AI in recruitment – developing recruitment materials step-by-step
  113. Midjourney v6. Innovations in AI image generation
  114. AI in SMEs. How can SMEs compete with giants using AI?
  115. How is AI changing influencer marketing?
  116. Is AI really a threat to developers? Devin and Microsoft AutoDev
  117. AI chatbots for e-commerce. Case studies
  118. Best AI chatbots for ecommerce. Platforms
  119. How to stay on top of what's going on in the AI world?
  120. Taming AI. How to take the first steps to apply AI in your business?
  121. Perplexity, Bing Copilot, or Comparing AI search engines
  122. ReALM. A groundbreaking language model from Apple?
  123. AI experts in Poland
  124. Google Genie — a generative AI model that creates fully interactive worlds from images
  125. Automation or augmentation? Two approaches to AI in a company
  126. LLMOps, or how to effectively manage language models in an organization
  127. AI video generation. New horizons in video content production for businesses
  128. Best AI transcription tools. How to transform long recordings into concise summaries?
  129. Sentiment analysis with AI. How does it help drive change in business?
  130. The role of AI in content moderation