Good first candidates
- Answering common customer questions from approved information
- Sorting and qualifying enquiries before a call
- Extracting data from bills, forms or PDFs into a sheet
- Summarising long documents or weekly activity
- Drafting social posts from an update you approve
These share a pattern: they repeat often, the “right answer” is written down somewhere, and a person can check the output.
Poor first candidates
- Decisions with legal, medical or financial consequences without human review
- Tasks that happen once a month
- Problems caused by missing or messy information (AI can’t fix what isn’t written down)
Five readiness questions
- Is the information accurate and written down?
- Does the task repeat often enough to matter?
- Can the answers come from approved sources?
- What personal or sensitive data is involved?
- How will you know it’s helping: time saved, faster replies, fewer errors?
Start small, measure, then grow
Build the smallest useful version, test it with real examples, and keep a human in the loop. When it works reliably, choose the next task. If you’d like help finding that first task, try the AI Opportunity Explorer.
Published by Orbit Hive – Digital Labs · 24 September 2026 · Share a thought on WhatsApp