Start with processes that happen often, follow a predictable pattern, take real staff time, and cause little damage if something goes wrong. Those give the fastest return and the lowest risk.
A four-question scoring method
Score each candidate process from 1 to 5 on:
- Frequency — how many times a week does it happen?
- Predictability — does it follow the same steps most of the time?
- Time cost — how many hours a week does it consume?
- Low risk — how harmless is a mistake? (5 = harmless)
Multiply the four scores. The highest totals are your first projects.
Typical high scorers
| Process | Why it scores well |
|---|---|
| Lead capture → CRM | Happens daily, same fields every time |
| Invoice and receipt data entry | Repetitive, easy to validate |
| Support ticket routing | High volume, clear categories |
| Weekly reporting | Same data sources every week |
Where AI changes the answer
Before AI, processes involving emails, PDFs or free-text messages scored low on predictability. Language models can now read those inputs reliably, which means many "too messy to automate" processes are now good candidates — often handled by an AI agent rather than fixed rules.
What not to automate first
Processes that are rare, politically sensitive, or where a mistake is costly (payments, legal decisions) should come later — ideally with a human approval step built in.
Tools to get started
Simple, rule-based flows can often be built with no-code tools such as Zapier, Make or the open-source n8n. Processes that read documents, emails or messages usually need AI added on top — and a custom build once volumes grow.
How SystemLoom can help
We map your processes, score them with you and build the automations that pay back fastest — see our intelligent automation service and the staff training automation we built for Smorgasbord Coffee Bar. Book a free intro call and bring your list.
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