PIPELINEAI Knowledge
AI or classic automation — which when?
The most expensive mistake is deploying a language model for a task a rule can handle.
Fixed structure, fixed rules: classic automation. Free text, varying formats, categorization needed: AI. This one question answers most cases.
01
The dividing line
Fixed structure, fixed rules: classic automation. Free text, varying formats, categorization needed: AI. This one question answers most cases.
02
Why this matters
A language model costs per call, is slower, and doesn't always deliver the same result. For “if amount over 500, then approval by manager,” that's a poor choice. For “assign this email to a responsible party,” it's the right one.
03
The common combination
In practice, AI usually sits at the beginning — it turns unstructured input into structured data. Then classic automation takes over. That's cheaper and more reliable than an end-to-end AI chain.
04
A test sentence
If you can write the rule in one sentence, you don't need AI. If you need examples to do it, you probably do.
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An example for orientation
An invoice review with a fixed threshold — over 500 euros requires a second signature — is a classic rule. Categorizing incoming invoices from twenty different supplier formats into the correct cost center is a case for AI, because that can't be captured in a fixed rule.
Questions
Frequently asked questions
Can you combine both in a single workflow?
Yes, that's actually the norm in good implementations: AI categorizes unstructured input, fixed rules handle the rest. This combination is cheaper and more reliable than an end-to-end AI chain.
How do you recognize when a provider is using AI unnecessarily?
When the task could be described in one sentence with fixed rules and a language model is proposed anyway. That costs more, is slower, and less predictable than necessary — usually because AI sounds better than an if-then rule.
What if the rules change later?
Classic automation then needs to be adjusted, which is usually straightforward if the variable parts are cleanly separated from the start. That's no reason to default to AI where rules would suffice.
Is AI the more future-proof choice, even if rules are enough today?
No — future-proofing isn't an argument for the more complex, less predictable solution. When the workflow changes, it gets adjusted, regardless of whether rules or AI were deployed today.
Next step
We'll look at your starting position.
Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.