
Most “AI automation” pitches start with a number. This list starts with a job a person already does: read messy input, draft something, and decide. If nobody owns the exception, the process is not automated — it is abandoned.
Ten processes that tolerate a draft
- Classifying inbound email and tickets
- Drafting replies that a human sends
- Extracting fields from invoices and forms (then verifying)
- Summarising long threads for a handover
- First-pass résumé or lead scoring against written criteria
- Internal search over your own policies and tickets
- Meeting notes turned into action lists
- Product copy variants for review
- Detecting duplicate records with a person confirming merges
- Flagging outliers in text (complaints, safety phrases) for a queue
Do not start here
- Autonomous refunds or fee waivers
- Medical, legal, or official exam decisions
- Writing to production data without an approval step
- Any number that must match the ledger tomorrow
Pair this list with traditional vs AI software. If you later want a workflow built, start from the job — not from a model name — at application development.
FAQ
Can we automate school marks with AI?
Marking unstructured work is a research problem. Publishing official results should remain a controlled workflow. Do not put a model in charge of the grade book.
If you need software built around a real workflow — not a stack of disconnected tools — see Devzin application development or start a conversation.
