15 real examples of AI business process automation
Not hypotheticals — workflows running in real businesses, organised by department, with what each typically gives back.
The fastest way to understand AI automation is a menu, not a definition. Fifteen workflows we or our clients run, by department. Each line: what triggers it → what it does → what it returns.
Sales & marketing
- 1. Lead enrichment & routing. Form fill → research, score, route, draft first touch → reps walk into booked calls.
- 2. Speed-to-lead replies. Inquiry → instant personalised response, day or night → conversations competitors miss.
- 3. Weekly marketing report. Monday 7am → all channels pulled, insights written in plain language → the meeting starts informed.
- 4. Ad-budget management. Live campaigns → an agent shifts spend inside guardrails → lower CPA without dashboard-babysitting.
- 5. Proposal drafting. Discovery call ends → transcript becomes a priced draft in your format → evenings returned.
Customer support
- 6. Order-status resolution. "Where's my order?" → live OMS + carrier answer in the brand voice → most tickets never reach a human.
- 7. Returns & refunds. Request → policy check, label, refund on scan → consistent outcomes, minutes not days.
- 8. Review responses. New review → drafted on-brand reply for approval → response rate near 100%.
Back office
- 9. Invoice processing. Invoice in → extract, match to PO, route approval → no data entry, fewer errors.
- 10. Receipt filing. Photo or forward → read, categorise, file to accounting → tax season becomes boring.
- 11. Inbox triage. Every email → sorted, drafted, escalated → the first 90 minutes of the day back.
- 12. Meeting notes to tasks. Call ends → summary, owners, deadlines in your PM tool → follow-through stops depending on memory.
Content & ops
- 13. Video repurposing. Upload → clips, captions, cross-platform schedule → one video becomes a week of presence.
- 14. Client onboarding. Contract signed → workspace, docs, kickoff booked → five days of setup in an hour.
- 15. Demand forecasting. Sales velocity shifts → reorder drafts per SKU → stockouts caught before they happen.
Every example shares one shape: a trigger, rules a human could write down, and a result someone used to type by hand.
Costs and payback math for these live in how much does AI automation cost? — most return their monthly fee in recovered hours several times over.