A quick checklist to decide
- Frequency and volume: how often does the task run (daily, weekly, monthly)? Multiply time per run by runs per week to see weekly hours.
- Predictability: can the decision be described as clear rules (yes/no)? If the answer is "no" the task likely needs human judgement.
- Data availability: are the inputs in a single place and reliable enough to drive decisions? Missing or inconsistent fields cause more errors than the automation saves.
- Exceptions: how many exceptions occur and how complex are they? A few rare, simple exceptions are OK; many nuanced exceptions are not.
- Error tolerance and fallbacks: what happens when the automation fails? If a safe manual fallback or alert exists, automation is easier to justify.
- Maintenance and ownership: who will own updates and monitoring when the process or systems change?
What the rules and data need to look like
Automation works best when the decision logic is deterministic. That means you can write the rule as a short list of conditions (if A and B then X, else Y) rather than an open-ended judgement call. If the decision needs empathy, negotiation or context that humans use, keep the human in the loop.
Check the data before you automate in a focused way: sample recent records, look for missing key fields, consistent formats and a reliable ID to tie systems together. Decide explicit fallbacks for missing data (e.g. route to a human, skip and log) so the automation never makes a blind update.
Pilot, measure and assign clear ownership
Run a small pilot on a controlled subset: one customer type, one product line or one day of work. Log every decision the automation makes and compare output with human decisions for a short period. Measure time saved, errors prevented and the number of exceptions that required human intervention.
Decide who owns the automation: a named person who will review logs weekly, apply fixes when rules change and stop the automation if problems appear. Use simple success criteria (hours saved per week, reduction in rework, or fewer missed tasks) and a stop condition if error rate rises.
If you want practical help sizing benefits and running a short pilot, Optira can assist with a focused assessment and a lightweight proof of concept.