Do I Need Decisioning?

We've put some practical pointers on when you've probably turned your automation or AI into a decisioning engine by accident. If any of these sound familiar, it's time to extract the rules and put them somewhere designed to hold them.

This page is a practical guide for recognising when that's happened.

When Using Automation

You're trying to use automation to achieve decisioning if:

Your scenario or workflow has more routers than steps.
You're using a Code or Function module just to handle conditions.
Changing one business rule requires opening the workflow and hunting for where it lives.
Your client can't read or safely change their own rules.
You've duplicated logic across multiple workflows based on conditions
You've got "only when" conditions stacked five levels deep.

When Using AI

You're probably trying to use AI to achieve decisioning if:

You're prompting an LLM to apply specific rules.
You've had to add "always", "never", "you must" to your prompt to stop it from going off-script.
The output format is inconsistent.
You can't explain why a particular decision was made.
A wrong answer has real consequences.
The same inputs produce different outputs on different runs.

When Using Spreadsheets

You're trying to use spreadsheets to achieve decisioning if:

A human has to manually check the spreadsheet before making a decision. I
The sheet is getting looked up by code.
Only one person really understands it.
You've had a bug caused by a formula error or a blank cell that nobody caught.
The file is called something like pricing_rules_v4_FINAL_USE_THIS_ONE.xlsx.
It needs to be "run" by a human before the decision can happen.

A Practical Checklist

Run through this list for any piece of logic in your stack. If you check two or more boxes, it probably belongs in a decisioning engine.

The logic involves evaluating more than two conditions simultaneously
The output of the logic is used downstream in an automated system
The rules change independently of the system that uses them
The decision needs to be made consistently and repeatably, not approximately
Someone other than a developer needs to be able to read or update the rules
You need to be able to audit what decision was made and why
The same logic is being applied in more than one place
A wrong decision has real-world consequences (financial, operational, reputational)

What to Do Next

If you've recognised your setup in any of the above, the next step is straightforward: extract the rules from wherever they're living now and put them somewhere designed to hold them.

Last modified on April 22, 2026

Common Examples