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AI Automation

25 Business Tasks You Can Automate with AI Today

25 practical AI automation ideas for small businesses—from lead routing and support triage to reporting—with useful human-review guardrails.

· 10 min read · Intellivise Insights

The best first AI automations are frequent, repeatable workflows where people spend time sorting, extracting, summarising, drafting, or routing information. Start with a small workflow, define a quality check, and keep a person responsible for decisions that affect customers, money, employment, or compliance.

Key takeaways

  • AI works well for classifying, extracting, summarising, drafting, and routing information.
  • Automate a defined step before attempting a fully autonomous business process.
  • Use approvals, audit trails, access controls, and escalation paths for sensitive or consequential work.

Marketing and sales: 1–7

1. Score and route new leads. 2. Summarise discovery calls into CRM notes. 3. Draft proposals from approved scope. 4. Turn campaign data into a creative-test brief. 5. Draft and repurpose social content from approved sources. 6. Build weekly competitor or market summaries. 7. Prepare webinar and campaign readouts for review.

These tasks help teams move from incoming information to an organised next step. The final qualification, promise, and commercial judgement should remain with an accountable person.

  • Lead routing by source, need, location, or intent.
  • Call notes, next steps, and follow-up drafts.
  • Campaign summaries and creative learning briefs.

Customer operations: 8–13

8. Sort support inboxes by topic and urgency. 9. Summarise long threads. 10. Draft answers from an approved knowledge base. 11. Group feedback into recurring themes. 12. Draft review responses for approval. 13. Suggest alternative appointment times when schedules conflict.

Use AI to make routine communication easier to handle, not to remove empathy or accountability. Complex complaints, unusual requests, and sensitive conversations should escalate to a person.

  • Inbox triage and theme detection.
  • Knowledge-base-assisted response drafts.
  • Appointment and follow-up support.

Finance and administration: 14–19

14. Extract receipt details. 15. Prepare invoice records. 16. Flag overdue payments. 17. Summarise weekly financial data. 18. Prepare cash-flow or collections summaries. 19. Extract actions, deadlines, and owners from documents.

For financial workflows, let automation prepare or flag a record; do not let it approve payments, set pricing, or change accounting data without appropriate controls.

  • Receipt and invoice extraction.
  • Payment and exception alerts.
  • Document action-item extraction.

People, knowledge, and IT: 20–25

20. Draft job descriptions. 21. Prepare a first-pass applicant summary against explicit job criteria. 22. Turn procedures into searchable Q&A. 23. Summarise project risks and dependencies. 24. Review technical documentation for questions and gaps. 25. Generate recurring operational reports from defined sources.

Employment, security, technical architecture, and strategy work can benefit from a prepared brief, but an accountable expert must own the final decision.

  • Policy and procedure search.
  • Project and operations summaries.
  • Role-based reporting with human review.

Sources

  1. OpenAI: Identifying and scaling AI use cases
  2. OpenAI: A practical guide to building AI agents
  3. GoDaddy: AI workflow automation examples for small businesses

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