Which everyday office tasks can AI take over today?

AI can already take over office tasks that are mostly text and come back every week: drafting and summarising emails, preparing quotes, answering questions about your own documents, analysing spreadsheets and producing documents. It delivers drafts, not decisions. Anything that reaches a customer or affects a person is still checked and decided by someone on your team.

This article is not legal advice. It covers ten tasks that work in companies with 5 to 50 people, and the line that data protection regulators draw.

How do you tell whether AI can take over an office task?

By three traits. The task comes back regularly. It is mostly reading, writing or reshaping text. And a person can check the result quickly, because they know what right looks like.

One example runs through this article: a property management firm with 15 people looking after residential blocks. Four of them work in the office: the managing director, two property managers and a bookkeeper. Their days are tenant emails, contractor quotes, service charge questions, lease files and minutes from residents' meetings. That is exactly where AI helps.

Which ten tasks are a good place to start?

Writing

1. Drafting replies to routine emails. When will the lift be repaired, why did the service charge go up, who do I call about the leak. The AI drafts in the firm's tone, the property manager adjusts and sends.
2. Preparing quotes and proposals from past ones. With the fee schedule, three good past proposals and the standard terms as the basis, the AI produces a draft. The instruction: never invent a line item, mark anything missing as a question.
3. Rewriting and translating. Shortening a notice about scaffolding, making a reminder friendlier, or translating it for tenants who read Spanish or Polish more easily than English.
4. Creating documents that match your company’s branding. A quarterly report for a building's owners in Word, a summary for the bank as a PDF, a presentation for a new client. This reduces the time spent copying text from a chat and formatting it, though the finished document still needs checking.

Finding

5. Finding answers in your own documents. "What notice period is in the management contract for Elm Court?" The answer comes with the document and the passage, so someone can look it up.
6. Onboarding new staff. A new property manager asks the office handbook how repair requests are logged instead of asking the director three times a day.
7. Summarising long email threads. Forty emails between the contractor, the freeholder and three tenants become one page. The summary sets out what was agreed, what still needs resolving and who is responsible.

Analysing

8. Analysing spreadsheets. The bookkeeper uploads the arrears export and asks which tenants are more than 60 days behind. The AI sorts and charts, and the bookkeeper checks the figures against the original.
9. Turning notes into minutes. Bullet points from Monday's team meeting become minutes with actions, names and dates.
10. Scheduling recurring summaries. Every Monday, an overview of new regulatory notices or supplier updates that someone would otherwise read one by one. As a scheduled task, it runs at a set time without anyone having to remember.

None of these needs a development project. All of them need a person who knows what the result should be and checks it.

Which tasks should AI not do in the office?

Decisions about people. Under Article 22(1) GDPR, people have the right not to be subject to a decision based solely on automated processing that produces legal effects concerning them or similarly significantly affects them. Germany's data protection conference (DSK) makes it concrete in its guidance on AI and data protection (section 1.6): an AI that assesses every job application and sends out interview invitations on its own breaches Article 22. A purely formal human sign-off is not enough either. Whoever decides needs real room to decide.

The EU AI Act classifies certain AI systems used in recruitment and staff management as high-risk. AI used to select candidates, decide on promotion or termination, or evaluate staff performance and behaviour is high-risk under Annex III, point 4, with specific duties for the company using it. For a small business, that work does not belong in day-to-day office use of a general AI tool.

Then there is anything that leaves the office unchecked or moves money. In the property firm, that means:

• No email to a tenant that nobody has read.
• No price the AI quotes from memory instead of the fee schedule.
• No deadline, notice period or commitment that comes only from an AI answer.
• No payment approvals.

How do you check what AI does in the office?

With a fixed check per task, not with general suspicion. The DSK says results of AI applications involving personal data must be questioned critically and verified before they are used further (section 3.3). In practice, that is one sentence per task: who checks, and what for?

In the property firm, it looks like this. The director checks proposals line by line and price by price. Whoever sends an email draft checks dates and names. An answer from the documents only counts once someone has opened and read the passage. Spreadsheet analyses are spot-checked on two or three rows against the original.

These rules belong in your AI policy. There is a template in the article on AI policy for employees.

Where should a small business start?

With three of the ten tasks, not all of them. Pick the ones that come up most often and whose results are easiest to check. For this fictional property management firm, tenant emails, proposals and questions about management contracts would be sensible starting points.

Before that, decide which tool your team uses and which data may go in. Free personal accounts are the wrong place, as the article on shadow AI explains. How to bring tool, rules, pilot and team together in four weeks is in the 30-day plan for implementing AI. If you use AI, you also need to make sure your staff have enough AI literacy. What that means is covered in the article on Article 4 of the AI Act.

Conclusion

Verselo is an AI workspace for small and mid-sized companies. The ten tasks run in one place:

• Emails, quotes, text: you set up an agent with fixed instructions, knowledge and examples, for instance for proposals from your fee schedule and past proposals, and share it with your team.
• Questions to your documents and onboarding: company knowledge answers from your documents with the document and passage, and one click opens the exact spot.
• Documents and spreadsheets: Verselo creates Word, PDF, Excel and PowerPoint files, with support for your own company templates in Word, PDF and PowerPoint. See documents and templates.
• Recurring summaries: scheduled tasks run a prompt or an agent at set times.

Admins set roles, allowed models, chat retention and a monthly budget. EU-hosted models from leading providers; chats and documents are processed in the EU and never used for training. One exception: web search sends the search terms to Google, and admins can switch it off. Details on the security page. The data processing agreement comes at launch.

What Verselo does not do is decide which results leave your office. That stays with your team.