What AI is good for

AI is useful when it takes real work off the table. Not when it only writes nicer sentences.

The simple test: does someone have to read, search, sort, compare, summarize, write, or move information from one place to another? Then AI can probably help.

Simple AI use cases

• Read documents: summarize contracts, PDFs, reports, policies, or case files.
• Find knowledge: ask questions about internal documents and get answers with sources.
• Clean up speech: turn voice notes, meetings, or jobsite input into reports and tasks.
• Sort requests: pre-sort emails, forms, or customer requests.
• Pull out data: turn PDFs, forms, or tables into clear fields.
• Prepare content: draft texts, images, variants, or first versions faster.
• Prepare decisions: organize cases, documents, and data so people can decide faster.

What AI should not do

AI should not make hidden decisions. It should not hide responsibility. And it should not give an answer without a source when the source matters.

A good AI tool shows what it read, where it is unsure, and when a person needs to check.

The first step

Start small: one document type, one form, one team, one recurring task. Build a first version. Then you see whether the use case holds.

AI in real products

rexlex : shows how source-based legal AI works with document analysis, OCR, research, and Swiss legal data.

bauKI : shows how AI turns voice, photos, and plan pins into usable jobsite documentation.

If you can explain the workflow, we can check whether AI can remove work from it.