Question Clearly sourced

Expert knowledge for digital decisions

Which Tasks Are Suitable for AI – and Which Are Not?

Short answer

Tasks that are suitable are those where an assessment is sufficient and a mistake can be corrected easily: sorting, summarizing, designing, extracting. Tasks that are unsuitable are those where accuracy is essential and a mistake is costly: calculating, making legal judgments, making final decisions.

The Crucial Question

Not "Can AI do this?", but "What is the cost of a mistake, and will someone notice it?" A wrongly sorted inbox can be corrected in ten seconds. A wrongly calculated invoice may never be noticed.

Well-Suited

Task Why
Classifying and forwarding texts Errors are immediately visible and inexpensive
Extracting documents (OCR and extraction) Results can be verified against the original
Summarizing with source reference Statements are verifiable
Writing draft responses A person approves them
Searching in own documents The source is verifiable

Poorly Suited

Task Why
Calculating Language models do not calculate; they estimate. This belongs in code.
Legal or medical assessment Errors can cause significant damage
Final decisions about people Article 22 GDPR, and it is unfair
Tasks with a single correct answer and strict verification A rule is cheaper and more reliable

The Most Common Misconception

Using AI for something that can be handled with a simple rule. A regular expression pattern that recognizes an invoice number is faster, cheaper, and one hundred percent reliable. Using a language model for this is more expensive and less effective.

Rule of Thumb: If you can write the rule in one sentence, use the rule.

Key facts

Guiding Question
What is the cost of a mistake, and will it be noticed?
Rule of Thumb
What can be formulated as a rule does not belong in the model

Sources

All external claims are backed by traceable sources.
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