The most useful AI automation use cases in growing businesses are repetitive tasks that involve reading, writing or sorting information: qualifying enquiries in sales, triaging tickets in support, processing documents in finance, summarising information in operations and answering policy questions in HR. The best first use case is the one with the highest volume and a clear owner.
Sales
- Enriching and logging new enquiries in the CRM
- Drafting personalised follow-up emails for review
- Summarising calls and meetings into CRM notes
- Prioritising leads based on the information they provide
Customer support
- Classifying and routing incoming tickets
- Suggesting replies from your help content
- Answering common questions through self-service
- Summarising long conversations for hand-over
Finance and administration
- Extracting details from invoices and receipts
- Matching documents against orders or purchase records
- Flagging unusual transactions for review
- Preparing recurring reports
Operations
- Summarising project status across tools
- Highlighting risks and overdue work
- Turning emails and forms into structured tasks
- Answering questions from operating procedures
HR and internal teams
- Answering policy and benefits questions from internal documents
- Screening and summarising applications for human review
- Preparing onboarding checklists and information
Choosing your first use case
- List repetitive tasks in each team and estimate how often they happen.
- Prefer tasks with clear inputs and an easy way to check the output.
- Pick one with a clear owner and a visible cost today.
- Keep a person in the loop until accuracy is proven.
Want help putting this into practice? Explore our AI & Business Automation services or see related work in our OnTrack case study.
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