Five routine tasks to hand to an AI workflow, and one to keep for yourself

Most teams lose hours every week to the same predictable work: sorting email, copying numbers between tools, writing the same kind of update again. These are exactly the tasks AI workflows handle well today, as long as a person stays in charge of the decisions that matter.

What we mean by an AI workflow

An AI workflow is not a chatbot you have to talk to. It is a small automated process that runs in the background, built from three parts:

1. A trigger: a new email, a submitted form, a file landing in a folder, or a time of day.
2. An AI step: reading, sorting, extracting information or drafting text.
3. An action: updating a spreadsheet or CRM, creating a task, or sending a draft to a person for approval.

The best candidates are tasks that happen often, follow a recognisable pattern, and are low-risk if a draft needs a quick correction.

1. Inbox triage and first drafts

A shared inbox mixes sales enquiries, support questions, invoices and noise. A workflow can sort each incoming message, route it to the right person or folder, and prepare a first-draft reply for the common cases.

Keep a person on: sending. Drafts go out only after someone reads and approves them.

2. Pulling data out of documents

Invoices, receipts, order forms and PDFs often get re-typed into spreadsheets or accounting tools by hand. A workflow can read each document, extract the fields you need, and add them to the right place.

Keep a person on: exceptions. Totals should be checked automatically, and anything that does not add up gets flagged for review instead of being entered.

3. Meeting and call summaries

From a recording or transcript, a workflow can produce a short summary, the decisions made and a list of action items with owners, then create those tasks in your project tool.

Keep a person on: consent and accuracy. Tell participants a meeting is being recorded, and have the organiser skim the summary before it is shared.

4. Weekly reporting

Many teams spend part of every Monday gathering numbers from different tools into one update. A workflow can collect the figures from your sales, support and website tools, and draft a summary of what changed and what stands out.

Keep a person on: interpretation. The numbers come straight from your systems; the AI writes the first draft of the story, and a person decides what it means.

5. Follow-ups that slip through the cracks

Quotes with no reply, leads nobody contacted again, invoices that are overdue: these are easy to miss in a busy week. A workflow can watch for them and prepare a polite follow-up after a set number of days.

Keep a person on: tone and timing. A person approves each follow-up, especially for important clients.

The one to keep: decisions about people and money

Hiring and firing, pricing, refunds, credit, and anything with legal or regulatory weight should stay with a person. AI can gather the information and prepare a recommendation, but these decisions affect people's lives and livelihoods, and someone needs to own them, understand them and be able to explain them.

How to start

1. Pick one task that is frequent, follows a pattern and is low-risk.
2. Measure it first: roughly how much time does it take each week today?
3. Build the smallest useful version, with an approval step built in.
4. Measure again after a few weeks, fix what is not working, then move to the next task.

Starting small keeps the risk low, and a single workflow that reliably saves a few hours a week is worth more than an ambitious project that never quite works.