The business tasks most suited to AI automation are lead follow-up, customer support, appointment booking, invoice processing, data entry, onboarding, quotations, reporting, social media replies and internal requests. They share three traits: high volume, a repeatable pattern and a clear outcome.
Key takeaways
- Start with tasks that are frequent, pattern-based and low risk.
- Lead response and customer support usually show results first.
- Keep a person in the loop for money, legal and complaint handling.
The ten tasks
- Lead follow-up. Reply to every enquiry immediately, ask qualifying questions and book a call.
- Customer support. Answer common questions from your own knowledge base and hand complex cases to a person.
- Appointment booking. Check availability, confirm slots and send reminders.
- Invoice processing. Read invoices, extract vendor, amount and due date, and create the accounting entry.
- Data entry. Move information between forms, spreadsheets, CRM and ERP without retyping.
- Customer and employee onboarding. Collect documents, send welcome messages and create accounts.
- Quotations and proposals. Draft documents from a template using details already in your CRM.
- Reporting. Compile weekly numbers and write a plain-language summary.
- Social media and review replies. Draft responses for approval, in your brand voice.
- Internal requests. Answer staff questions about policies, leave and IT from your documentation.
How do you pick the first one?
Score each candidate on three questions. How often does it happen? How similar is each instance? What is the cost of a mistake? The best first project is frequent, consistent and cheap to get wrong. For most businesses that is lead follow-up or support.
What makes a task a poor fit?
Work that is rare, different every time, or where an error is expensive. Automating these costs more than it saves. They are better supported by AI, for example by drafting or summarising, than replaced by it.