Artificial intelligence (AI) refers to technologies that simulate human-like abilities such as learning, analysing, understanding and decision-making. Unlike traditional software, AI-supported systems can recognise patterns from data, make predictions and adapt to new information. Generative AIs (e.g. ChatGPT or Copilot), which create texts and visualisations, summarise information or optimise formulations, are currently particularly widespread. In the work context, AI is usually used to support typical office and administrative tasks. These include composing emails, creating reports, analysing data or automating recurring processes. The aim is to reduce the workload of employees, make processes more efficient and enable more informed decisions based on data.

Some AI tools have become particularly established in everyday office life. They can usually be integrated directly into existing systems and provide support without major implementation effort.

• ChatGPT - text creation, research, summaries
• Microsoft Copilot (M365) - AI in Word, Excel, Outlook and Teams
• Google Gemini - AI in Gmail, Docs and Spreadsheets
• Specialised AI solutions - for project management, accounting or CRM, for example

The decisive factor is not the number of tools, but their sensible, data protection-compliant use in the company.

Organisation & office work

The use of AI for office and administrative tasks is probably the most widespread. Intelligent tools help to create emails, reports, minutes and presentations and to prepare information in a structured way. Scheduling, task organisation and structuring documents can also be made much easier with the help of artificial intelligence. Tools such as Microsoft Copilot or Google Gemini speed up routine tasks and free up time for strategic and creative activities.

Project management

In addition to day-to-day organisation, AI also provides great relief in project management. It can be used to help with prioritisation, resource planning and progress monitoring. Tasks such as summarising notes, creating status updates and formulating project descriptions can also be handed over to digital assistants. This enables teams to recognise potential risks and bottlenecks at an early stage and focus more on decision-making.

Human Resources Management

AI is also increasingly providing relief and efficiency in human resources management. In recruiting, it supports the analysis of applications, the comparison of qualifications with job requirements and the optimisation of job advertisements. Digital assistants can guide applicants through the process, coordinate appointments and answer frequently asked questions automatically. AI is also used in personnel development and employee retention, for example with data-based analyses of feedback, individual training recommendations or indications of possible fluctuation risks. This gives HR teams more time for strategic tasks and personal discussions.

Accounting and finance

AI also offers great potential in accounting and finance. It automates recurring tasks such as recording and allocating documents, provides support with invoice verification and creates reports much faster than manual processes. This makes processes more efficient and reduces error rates. In addition, AI can analyse large volumes of data, identify anomalies and create forecasts for liquidity or budget developments. This gives finance managers a more sound basis for decision-making and more time for strategic planning.

Marketing and sales

AI is also realising its potential in numerous areas of application in marketing and sales. It supports the analysis of target groups, creates texts for newsletters, social media or product descriptions and helps to optimise campaigns based on data. Content can be developed more quickly and targeted more specifically at relevant customer segments. In sales, AI can help with prioritising leads, forecasting sales opportunities and personalised customer contact.

AI is not only relevant for corporations: SMEs benefit from cloud-based tools and integrated AI functions in office software, often without major IT projects.

Possible applications for SMEs

• Automated customer communication
• Intelligent email assistance
• Quotation and text creation
• Document recognition in accounting
• Data-based analyses in sales
• Cybersecurity tools

For SMEs in particular, AI offers the opportunity to optimise processes, deploy resources in a more targeted manner and remain competitive despite limited capacities. The decisive factor here is a strategic approach - with clear goals, trained employees and suitable use cases.

• Increased efficiency and time savings: automation of routine tasks speeds up processes and reduces the workload of employees.
• Higher productivity: AI uses algorithms to support research, analyses and content creation and enables faster work.
• Sound decision-making: Data-based analyses and forecasts improve strategic and operational decisions.
• Cost savings: Optimised processes, reduced error rates and better use of resources reduce costs in the long term.
• Scalability of processes: AI systems can handle large amounts of data and increasing work volumes without a proportional increase in personnel.
• Improved customer and employee experience: Personalised communication and faster response times increase satisfaction and loyalty.
• Competitive advantages through innovation: Companies can develop new business models more quickly and respond to market changes.

• Job change and loss: Certain routine and administrative tasks can be automated by AI. This changes job profiles. In some areas, jobs may be eliminated while new skills requirements arise.
• Data protection and security risks: Handling sensitive company and personnel data requires high security standards and compliance with GDPR regulations.
• Dependence on technology: Heavy use of AI can lead to expertise or critical thinking being neglected.
• Susceptibility to errors and inaccurate results: AI systems can provide incorrect or misleading information, especially if training data is biased or incomplete.
• Bias and discrimination risks: Distorted data can lead to unfair decisions, for example in recruitment or performance evaluations.
• High implementation and training costs: Introduction, integration and employee training require time, budget and professional change management.
• Limited empathy and lack of humanity: AI systems can process information and generate content, but do not have genuine emotional intelligence.

AI is increasingly becoming part of the standard working environment. In future, AI assistants and AI agents will take on more preparatory work and process steps, while humans will focus more on creativity, strategy and communication. This means that AI expertise will become a key qualification, especially through training, clear rules and responsible use.

AI in the office is more than just a short-term trend: it is increasingly becoming an integral part of modern digitalisation. With its wide range of possible applications, it is helping companies across all industries to simplify processes, minimise errors and noticeably reduce costs. As a valuable addition, it relieves employees and creates scope for strategic, creative and interpersonal tasks, whereby the expertise of people remains crucial.

At the same time, this development brings with it numerous opportunities as well as changes and risks: task profiles are changing and individual activities may become obsolete. However, those who use AI consciously and responsibly and empower specialists with the right skills will actively shape the future - in a working world in which humans and AI work together in a meaningful way.