Introduction

Organizations across many industries often face challenges such as limited staff time, constrained resources and varying access to technology. Artificial Intelligence (AI) can help address these challenges. AI can make communication easier, handle simple tasks quickly and help employees create clear, accurate information (Marr, 2019).

Today’s most prominent generative AI tools are conversational, often called “chatbots,” which can engage in dialogue and answer questions, such as ChatGPT and Claude (Gupta et al., 2020). Other AI tools assist with writing, creating visuals, organizing information or managing workflows.

This fact sheet introduces workplace professionals to AI tools and explains topics such as:

• What AI is and how it works in practical terms for everyday work
• How AI can help with writing, designing visuals, organizing information and saving time
• What AI cannot do and why human judgment and oversight remain essential
• Different AI tools and platforms, with guidance on which ones are best for specific tasks
• How to write effective AI prompts to get useful, accurate results
• Ethical and responsible use of AI, including privacy and transparency considerations
• How to cite AI when it contributes to your work
• How to watch out for AI “hallucinations” or inaccurate outputs
• Tips for using AI thoughtfully and safely in the workplace
  

What is AI?

AI refers to a broad set of computational techniques that allow computer systems to perform tasks commonly associated with human cognition, such as recognizing patterns, processing language or generating content (Marr, 2019). Rather than thinking or understanding in a human sense, most modern AI systems operate by identifying statistical relationships in large amounts of data and using those patterns to produce outputs.

Many widely used AI tools today are powered by large language models (LLMs). LLMs do not reason, intend or comprehend meaning; instead, they generate text by predicting the most likely next word or sequence of words based on patterns learned during training (Marr, 2019). In other words, AI-generated responses are probabilistic, not factual, truthful or authoritative by default. This means that although outputs may sound confident and coherent, they can be incomplete, misleading or incorrect.

Moreover, AI systems are trained on large collections of data that may include publicly available text, licensed sources and content created by human trainers (Allen, 2020). These models do not have access to real-time information unless specifically connected to external tools, nor do they retain memory of individual users or verify the accuracy of their responses (Allen, 2020). As a result, AI tools can reflect biases present in training data and may generate errors or fabricated information, reinforcing the need for careful human review (Allen, 2020).

AI is already used across many sectors, including business, education, healthcare, finance, marketing and technology. Major organizations such as Google, Apple, Amazon and Microsoft, along with universities and startups, continue to invest heavily in AI because of its wide range of applications. For example, AI can help write emails, respond to common questions, create simple graphics, summarize documents or organize information for meetings and projects. In the workplace, AI does not replace employees. Instead, it provides tools that support productivity, communication and decision-making while keeping humans in control.

What Can AI Do?

AI can speed up and simplify many daily work tasks, allowing people to focus on higher-level responsibilities such as planning, problem-solving, collaboration and relationship-building. Examples of how AI can support workplace tasks include, but are not limited to:

• Writing: AI tools such as ChatGPT, Claude and Grammarly can draft emails, reports, newsletters, training materials and social media posts. Employees can provide a brief prompt, and AI generates a draft that can be reviewed and edited quickly.
• Visuals & graphics: Tools like Sora (ChatGPT), Canva, DALL·E and Adobe Firefly allow users to create charts, infographics, presentations and marketing visuals with minimal design experience. AI can help produce professional-looking materials efficiently.
• Organizing information: AI tools such as Notion, Trello, Microsoft Co-Pilot and AI-enhanced spreadsheet software can help manage schedules, track tasks, organize notes and summarize documents. Chat-based AI tools can also create lists, highlight key points or identify items that need follow-up.

By handling repetitive or time-consuming tasks, AI can free employees to focus on strategic work, creativity and human interaction. For example, a document that might normally take an hour to draft can often be outlined in minutes using AI.

What are the Limitations of AI?

Although AI can be useful, it has clear limitations. AI lacks real-world awareness, context and judgment, which means human oversight is always necessary.

• Context and local knowledge: AI may generate suggestions that do not ft a specific workplace, organization or audience. Employees must review and adapt outputs to match their unique context.
• Skill Levels and safety: AI cannot assess skill levels, experience or safety concerns. Instructions or recommendations may be inappropriate or incomplete without human review.
• Culture and communication: AI may use language that is unclear, overly technical or insensitive to cultural norms or audience needs. Editing for clarity, tone and inclusivity is essential.
• Ethics and accountability: AI cannot make ethical, legal or organizational decisions. Responsibility for decisions and outcomes always rests with people.
• Decision making: Use AI as a support tool, not a decision-maker. Always review, verify and adapt AI-generated content before using it in the workplace.
  

AI Platforms and their Best Uses

Different AI tools are suited for different workplace needs (Bhambri & Rani, 2024). Rather than using a single system for all tasks, organizations benefit most when tools are matched to specific functions such as writing, design, research or media creation.

• ChatGPT, Claude, Gemini, and Microsoft Copilot: Chat-based AI tools are well-suited for drafting text, brainstorming ideas, summarizing information and editing writing. Microsoft Copilot is particularly effective in workplace settings due to its integration with Microsoft Word, PowerPoint, Excel and Outlook.
• Canva (Magic Write and Magic Design): Effective for creating presentations, flyers and social media graphics, particularly for users without advanced design experience.
• Google NotebookLM: Supports organizing, summarizing and synthesizing information across multiple documents, making it useful for research and knowledge management tasks.
• CapCut and Lumen5: Enable AI-assisted video creation, including editing, captioning and transforming text-based content into short-form videos.
  

How to Write a Good Prompt

Much like people, AI tools perform best when given clear and specific instructions. Effective prompts include context, such as the intended audience and purpose. Clearly describe the task, tone, length and format you want. The more detail you provide, the more useful the output will be.

Example of a Weak Prompt

“Write about productivity.”

Example of a Strong Prompt

“Write a 150-word internal email for employees explaining three simple productivity tips for remote work. Use a friendly, professional tone and bullet points.”

Ethics and Responsible Use

Responsible AI use is essential for maintaining trust and protecting privacy in the workplace. Be transparent about when AI assists with content creation and always verify accuracy before sharing outputs. Avoid entering confidential, personal or sensitive information into AI tools. Most importantly, maintain your professional judgment and voice in all work (Tian et al., 2021). AI should enhance human expertise, not replace it.

• Check all AI-generated content for accuracy
• Do not enter private or sensitive information
• Keep human judgment central to all decisions
• Be transparent about AI use when appropriate

When using AI at work, it’s important to follow organizational guidelines and use tools in ways that support, rather than compromise, professional standards. Responsible use helps protect the organization, coworkers and the quality of work being produced.

• Follow company policies and approvals: Only use AI tools that are officially permitted and aligned with workplace guidelines.
• Avoid sharing internal or client information: Do not enter non-public documents, data or communications into AI systems.
• Be transparent about AI use: Disclose when AI is used for drafting, analysis or content creation, especially in collaborative or client-facing work.
  

Citing AI

When AI assists with writing, editing or generating content, it should be cited as a tool rather than an author.

Watch Out for Hallucinations

AI can sometimes generate information that sounds accurate but is incorrect. This is known as an AI “hallucination” (Salvagno et al., 2023). AI may invent statistics, references or details that do not exist. Any AI-generated information used in reports, training materials or public communications should be verified against trusted sources, such as organizational data, peer-reviewed research or official publications. Careful review helps maintain credibility and accuracy in the workplace.

References

Allen, G. (2020). Understanding AI technology (Technical Report No. AD1099286). Joint Artificial Intelligence Center, U.S. Department of Defense

Bhambri, P., & Rani, S. (2024). Best practices and tips for selecting chatbots. In Design and development of emerging chatbot technology (pp. 114–129). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1830-0.ch007

Gupta, A., Hathwar, D., & Vijayakumar, A. (2020). Introduction to AI chatbots. International Journal of Engineering Research & Technology (IJERT), 9(07). http://www.ijert.org

Marr, B. (2019). Artificial intelligence in practice: How 50 successful companies used AI and machine learning to solve problems. John Wiley & Sons.

Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Artificial intelligence hallucinations. Critical Care, 27(1), 180. https://doi.org/10.1186/s13054-023-04473-y

Tian, X., Risha, Z., Ahmed, I., Lekshmi Narayanan, A. B., & Biehl, J. (2021). Let’s talk it out: A chatbot for effective study habit behavioral change. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 97:1–97:32. https://doi.org/10.1145/3449171