How to use AI in the workplace

AI in the workplace means using AI tools to help staff with routine tasks such as writing emails, researching information and analysing data. Using AI for these tasks can speed up everyday work, help teams organise information and reduce the time spent on repetitive tasks. Staff do not need specialist IT skills for basic uses. Businesses can also introduce AI without making major changes to their existing IT systems.

What tasks can AI support in the workplace?

Artificial intelligence is particularly useful when work is repetitive, follows predictable patterns or involves large amounts of text and information. AI usually supports part of the work rather than completing the whole job. For example, it can produce drafts, summaries or analyses for staff to review and develop further.

AI is also widely used for customer-facing work, not just organisational and analytical tasks. Regular surveys by the industry association Bitkom show that direct customer contact is the most common use among businesses that have adopted AI. A similarly high proportion use AI to create marketing content and draft messages for people inside and outside the business.

Common uses of artificial intelligence in the workplace include:

What are the benefits of AI in the workplace for SMEs?

Small and medium-sized enterprises often have fewer staff and specialist departments than large companies. This means AI can be particularly useful when routine tasks take up time that employees need for other work.

Research into the use of AI in the workplace points to clear, measurable benefits in day-to-day office work. Employees most often report substantial time savings, followed by lower costs and fewer errors. Automated text generation remains by far the most common use of AI at work.

• Higher productivity: AI can prepare drafts, summaries and initial analyses in less time. Staff can spend more time advising customers, making decisions and handling work that requires specialist judgement.
• Support outside business hours: Chatbots and phone assistants can answer routine questions when the office is closed. Complex enquiries, complaints and disputes still need to be handled by a person.
• More capacity during busy periods: AI can deal with more enquiries when demand rises without the business immediately needing to hire more staff. People are still needed to check the work, handle unusual cases and speak to customers directly.
• Fewer mistakes in routine work: AI can sort information, transfer data and fill in standard templates, helping to reduce typing mistakes and simple oversights. However, poor source data or unclear instructions can cause the same error to appear repeatedly.
• Faster access to information: AI can search long documents, explain how different points relate and help staff find internal information. This saves them from having to search through several files each time.
• Help with developing ideas: AI can generate ideas, create outlines and offer alternative versions. Staff still need to decide what works, assess the quality and turn the best ideas into finished work.

Some employees are also concerned that increasing automation could put their jobs at risk. Employers should take these concerns seriously. At the same time, discussions about job losses can overlook how AI may reduce repetitive work and create new opportunities for employees over the longer term.

AI in the workplace does not necessarily mean that jobs will disappear. More often, it changes the work people do. AI can take over individual tasks, reshape roles and help businesses and staff keep up with technological change. This means businesses may need to redesign workflows and employees may need to learn new skills. Over time, this can make the business more competitive and improve employees’ career prospects.

How can businesses use AI in line with the GDPR?

When a business uses an AI tool to process personal data, it must comply with the General Data Protection Regulation (GDPR) and Ireland’s Data Protection Act 2018. Businesses need to understand what information staff will enter, why it is needed, what the provider will do with it and who can access it. They should also check where the data is stored and processed. Keeping data in the EU avoids the additional safeguards that may be required for transfers outside the EEA, but server location alone does not make an AI tool GDPR-compliant.

Businesses should also check which laws apply to the provider and whether data can be accessed from outside the EEA. This is particularly relevant for US providers, as the US CLOUD Act may require them to disclose data even when it is stored in another country.

Whether an AI tool can be used in line with the GDPR depends on how it is used and configured, what data it handles and how the provider stores and processes that data. The following checklist covers the main points businesses should review.

Checklist for using AI in line with the GDPR:

• Define the purpose and data involved: Decide what the tool will be used for and whether staff will enter personal, confidential or sensitive information.
• Update processing records: Where required, document the AI tool, the people and data involved, who receives the data and how long it is kept.
• Check the provider contract: If the provider processes personal data on your behalf, check that the contract meets Article 28 requirements and identifies subcontractors and transfers outside the EEA.
• Check where the data is handled: Find out where data is stored and accessed, and which laws apply to the provider and its parent company.
• Prevent training on company data: Use the contract or account settings to ensure that prompts, uploaded files and outputs are not used to train or improve the provider’s AI models.
• Use only the data you need: Remove names and other personal details where possible, or replace them with codes. Only enter passwords, trade secrets, health information or other sensitive data into systems approved for that purpose.
• Limit access: Set up accounts, roles and permissions so that only authorised staff can access chats, files and internal information.
• Assess risks and automated decisions: A data protection impact assessment may be needed where the risks are high. Decisions with legal or similarly significant effects should not be left entirely to AI unless a GDPR exception applies and suitable safeguards are in place.

How do AI tools for the workplace compare?

The right AI tool for an SME is not simply the one with the most capable model. It also needs to work with the software the business already uses, be easy for staff to adopt and give the business enough control over its data. Before choosing a tool, check how it fits into existing workflows, where prompts and files are stored and processed, and how quickly staff can start using it.

ChatGPT Business can support a wide range of tasks. However, businesses with strict data protection requirements should check where their data is processed, which contractual terms apply and whether their chosen plan includes data residency in Europe. ChatGPT Business does not currently include regional data residency, so businesses that require European hosting may need to carry out additional checks. This is one of the key differences between IONOS GPT and ChatGPT.

Microsoft 365 Copilot and Google Gemini work best for businesses that already use Microsoft 365 or Google Workspace. Staff can draft emails, edit documents, analyse spreadsheets and summarise meetings without leaving the applications they use every day. This is convenient, but it also makes a business more dependent on Microsoft or Google.

IONOS GPT runs directly in the browser and does not require a Microsoft 365 or Google Workspace subscription. As well as drafting text and researching information, it can analyse uploaded contracts, spreadsheets and reports. For more demanding tasks, ‘Reasoning Mode’ works through complex questions step by step. It can help businesses compare financial outcomes, review contracts and weigh the pros and cons of different decisions.

How to introduce AI in the workplace

A good place to start is with a routine task where the results are easy to check. Rather than changing several processes at once, SMEs should choose one clear use case and expand their use of AI gradually.

1. Choose a task and set a goal area: Look for work that regularly takes up a lot of time, such as drafting emails, summarising documents or writing meeting minutes. Other suitable tasks might include carrying out initial research or organising information for proposals. Set a measurable goal, such as reducing turnaround times or making documents more consistent. This also helps staff understand what AI can realistically achieve.
2. Choose the right AI tool: Make sure the tool can handle the task and meets your business’s requirements for data protection, data residency and ease of use. Browser-based SaaS tools such as IONOS GPT can be used without having to install any software, setting up a dedicated AI team or making changes to existing systems. Businesses still need to review data protection, manage user access and set internal rules.
3. Set clear rules for staff: Explain what information staff may enter, which tasks the tool may be used for and who needs to check the results. Without clear rules, employees may share confidential information or use AI-generated content without reviewing it properly.
4. Provide training for employees: Show staff how to use the tool for tasks they handle in their day-to-day work. They should learn how to write effective prompts, identify sensitive information and check the quality of the results.
5. Run a small pilot: Test the tool with one task, a small team or a single department. Track how long the work takes, the quality of the results, common errors and staff feedback. Do not use real customer or employee data until data protection requirements and access permissions have been addressed.
6. Review the pilot before expanding: Review whether the pilot met its goal and identify anything that needs improving. Fix any problems before introducing AI to other tasks.

What are the risks associated with artificial intelligence in the workplace?

AI can make everyday work easier, but it also creates risks around accuracy, legal compliance and staff responsibilities. Businesses can reduce these risks by choosing suitable tools, setting clear rules for how AI may be used and ensuring that staff check AI-generated content.

1. Incorrect information: AI can produce answers that sound convincing but are wrong. These errors, often called hallucinations, may include invented figures, sources or legal references. Staff should check facts, calculations and citations against reliable original sources.
2. Data protection and confidentiality: Entering customer, employee or business data into an unapproved tool could expose confidential information or breach GDPR requirements. Organisations should check where the data is stored and accessed, whether the provider uses it to train its models and what safeguards are in place. Staff should only enter the information needed for the task and use tools approved by the organisation.
3. Loss of skills and judgement: If AI handles routine work from start to finish, staff may have fewer opportunities to practise specialist skills or carry out the checks that catch mistakes. AI can help prepare work, organise information and suggest options, but people should still make professional judgements and remain responsible for the final outcome.
4. Copyright and other legal issues: AI-generated text, images or code can create copyright issues. The EU AI Act also introduces transparency rules for certain AI systems and some AI-generated or manipulated content from 2 August 2026. Businesses should set clear rules on what may be published, when the use of AI must be disclosed and which content needs specialist or legal review.
5. Staff concerns: Employees may see AI as a monitoring tool or worry that it could replace part of their role. A 2026 Irish survey found that 45% of workers thought AI could replace their job or have a negative effect on their role. Employers should explain which tasks AI will support, which decisions must still be made by staff and what training will be provided. Involving employees in choosing and testing tools can also help address these concerns.

The main issue is not simply what an AI tool can do, but how the business uses it. Clear responsibilities, rules on how AI may be used and early staff involvement are essential.

What does AI in the workplace mean for SMEs?

SMEs can already use AI to draft content, carry out research, analyse documents and answer customer enquiries. It works particularly well for routine tasks where staff can check the output easily, helping businesses finish work faster and spend less time on repetitive tasks.

SMEs should choose a tool that fits the way they work, protects their data and meets GDPR requirements. They should also set clear rules for how staff may use AI, require them to check the content it produces and introduce it one task at a time. Browser-based SaaS tools such as IONOS GPT let SMEs get started without an in-house AI team or major changes to their existing systems.