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AI & Automation

Business Processes That Can Be Automated With AI

AI is most useful when applied to specific, well-understood processes. Rather than asking "how can we use AI?", it is more productive to ask "which of our processes are repetitive, rule-based and time-consuming?"

Editorial illustration in navy and teal showing an AI processor within a network of connected nodes, representing ai & automation
In this article
  1. What makes a process a good candidate?
  2. Inbox and request triage
  3. Data extraction from documents
  4. Drafting routine communications
  5. Moving data between tools
  6. Reporting and summarization
  7. Where to keep people involved
  8. A practical starting point

Key Takeaways

  • The best candidates are repetitive, high-volume and follow recognisable patterns.
  • AI is well suited to classifying, extracting, summarizing and drafting.
  • Human review should remain for sensitive, high-impact or ambiguous decisions.
  • Start with one process, measure it and expand gradually.

What makes a process a good candidate?

Strong candidates for automation usually share several characteristics: they happen frequently, follow a recognisable pattern, involve moving or transforming information, and consume time that skilled people could spend elsewhere.

Inbox and request triage

AI can read incoming emails or form submissions, categorise them by type or urgency and route them to the right person or queue. This reduces the time staff spend sorting before they can start helping.

Data extraction from documents

Invoices, purchase orders, application forms and similar documents contain structured information buried in unstructured formats. AI-assisted extraction can capture key fields for review and entry into business systems.

Drafting routine communications

Standard replies, follow-up emails, meeting summaries and internal updates can be drafted automatically for a person to review and send. The time saving is in the first draft; the human retains responsibility for the final message.

Moving data between tools

Many businesses copy the same information between CRM, spreadsheets, accounting software and project tools. Workflow automation can connect these systems so updates happen once.

Reporting and summarization

Recurring reports often involve collecting data from several sources and writing a short narrative. Automation can gather the numbers and draft a summary for review.

Where to keep people involved

AI can make mistakes and may not understand context the way an experienced employee does. Keep human review for decisions involving money, legal commitments, sensitive personal matters or customer complaints. A well-designed workflow makes review quick rather than removing it.

A practical starting point

  • List your team’s most repetitive weekly tasks.
  • Estimate the time each consumes.
  • Choose one with clear inputs and outputs.
  • Pilot, measure and refine before expanding.

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