FREE AI AUTOMATION OPPORTUNITY MAPPER
Find a safer
place to start.
Assess one recurring workflow for frequency, structure, data readiness, reviewability, and consequence.
The mapper recommends discovery, an assisted pilot, or a bounded experiment you can copy, download, or print without submitting the selections. It keeps human oversight visible and never promises ROI or unattended automation.
01 / ASSESS
Assess one workflow.
Use broad operational characteristics only. Do not enter personal data, client information, credentials, confidential details, or regulated data.
02 / METHOD
What makes an AI workflow candidate?
Better early candidates are frequent, repeatable, supported by usable data, easy for a person to review, and low in consequence when something goes wrong. Those conditions make controlled testing and comparison possible.
An irregular, poorly documented, high-consequence process should not be forced into automation. The useful first move may be to simplify the workflow, improve the data, or build decision support that leaves authority with a qualified person.
03 / QUESTIONS
Use the score with care.
Does a high score mean the workflow should run autonomously?
No. It suggests that a bounded pilot may be easier to test. Human review, access controls, failure handling, monitoring, and a reliable manual route can still be essential.
Should I enter company or customer data?
No. Choose only broad workflow characteristics. The calculation runs locally, but the tool is intentionally designed without text fields so confidential or personal information is unnecessary.
Is this legal, privacy, security, or compliance advice?
No. The result is a planning prompt. Obtain appropriate professional and organisational review before processing sensitive data or using AI in regulated, safety-critical, employment, financial, health, legal, or similarly consequential contexts.
Does the score predict return on investment?
No. Benefits and costs depend on baseline performance, exception rates, integration effort, model and infrastructure choices, adoption, maintenance, and the value of errors avoided or created.