Free tools/Is This Workflow Worth Automating?

Score whether a workflow is actually worth automating.

Scores across volume, repeatability, error cost, and variability

Answer a few questions about a workflow and get a 0–100 fit score with a clear build, pilot, or skip verdict — before you spend a euro on it.

Many times a day scores high; once a quarter scores low.

LowHigh

Same steps every time scores high; needs judgment each time scores low.

LowHigh

Lots of expensive human time or costly mistakes today scores high.

LowHigh

Highly variable, lots of exceptions scores high (and lowers fit).

LowHigh
Automation fit score
60/100
Automate part of it

Promising, but keep a human in the loop for the long tail.

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How to use it.

1. Pick one workflow

Score a single, named process — not a department. "Reconcile supplier invoices" scores cleanly; "finance" does not.

2. Rate the four fit factors

Volume (how often it runs), repeatability (how rules-based it is), error cost (what a mistake costs), and variability (how much each case differs). High volume and high repeatability push the score up; high variability pushes it down.

3. Read your verdict

Above 70 is a strong automation candidate worth a pilot. 40–70 means automate part of it or keep a human in the loop. Below 40 means the workflow is too messy or too rare — automating it will cost more than it saves.

4. Use it to triage a backlog

Run every candidate workflow through the same scorer to rank them objectively. It's the fastest way to kill the projects that feel exciting but don't pencil out.

Frequently asked questions.

What makes a workflow a good fit for AI automation?
High volume, strong repeatability, a clear definition of "correct," and tolerance for the occasional handled exception. Workflows that are rare, highly variable, or where a single error is catastrophic are usually poor fits.
Should I automate a whole process at once?
Rarely. Most high-scoring workflows are best automated in the 80% of cases that are routine, with humans handling the long tail. Trying to automate every edge case is where AI projects blow their budget.
What does a low score mean — never automate?
Not necessarily forever. A low score usually means the workflow needs to be simplified or standardized first, or that volume is too low to justify the build today. Re-score it after the process changes.

More free AI tools.

Numbers looking promising?

A free tool gives you a hypothesis. The 30-minute diagnostic is where we pressure-test it against your actual workflows — and decide whether the project is worth building, buying, or skipping.