10 Office Tasks to Test With AI in a Small Business

Everyone has a demo where AI makes work look effortless. Your office has the missing attachment, the badly named file and the customer whose request does not fit the template.

That is where the audition should happen.

The 15-second answer

Test AI on ten ordinary office tasks with sanitized inputs and a clear checklist. Judge the completed, checked result, including correction time. Start with summaries, drafts and extraction. Expand only where the tool reliably improves the work. This article gives you a test plan; it does not claim we ran the tests or measured a success rate.

WHAT happened?

Anthropic's January 30, 2026 Cowork webinar focused on multi-step work for people beyond software development. [1] The broader proposition is delegation: ask for an outcome and review the resulting work. That is appealing, but a product demonstration is not your acceptance test.

WHO should give a shit?

Teams spending hours assembling documents, tidying notes, collecting figures and preparing first drafts. Administrative work is a useful place to look because the outputs can often be checked against known inputs.

Choose work your team understands. If nobody knows whether the result is correct, a polished answer will be hard to judge.

WHY does this matter to your business?

“Can it do office work?” is too broad. “Can it extract the date, supplier and total from these five sample receipts without making up missing values?” gives you something to assess.

Use this ten-task audition. These are proposed tests, not predicted passes:

WHEN should you act?

SOON if repeated office work is a bottleneck. WATCH if the tool needs more access or setup than the task can justify.

WHERE would you run the audition?

Use a test folder, copies of documents and fictional customers. A plumbing company can test lead sorting with invented inquiries. A bookkeeping team can test extraction with fabricated receipts. An agency can test a weekly update using approved sample notes.

Include at least one incomplete input. Good behaviour includes asking for missing information rather than inventing it.

HOW do you start Monday morning?

Choose three of the ten tasks first. Write the expected result before running the tool. Save the instructions, product version where visible, settings, date and outputs.

Mark each result correct, needed correction or failed. Also record unauthorized actions, missing facts and minutes spent repairing the work. Count a task as useful only if the checked result meets your standard and improves time, quality or both. Repeat the task on fresh examples before making it routine.

If you later publish results, disclose the sample size, inputs, method and failures. “Seven of ten tasks passed in this small test” can be informative. “AI can replace your office” is a much bigger claim.

The Bullshit Meter

Hype 8/10 | SMB usefulness 8/10 | Risk 5/10 | Verdict AUDITION IT. Editorial scores for supervised office automation. Boring, repeatable wins are worth your attention.

Don't Put This Into AI

Do not use live invoices or client files merely because they are convenient. Build a small approved test set first.

Questions owners actually ask

Can AI reliably process receipts?

Some tools support extraction. Verify every field during the pilot, including totals, currencies and missing information.

Have these ten tasks been tested here?

No. This is a reproducible audition you can run; it contains no invented results.

What should I automate after a successful test?

The narrow step that repeatedly meets your standard. Keep exception handling and final approval assigned to a person.

This week's move: pick three boring jobs and write what a correct result must contain.

Sources

[1] Anthropic The Future of AI at Work Introducing Cowork January 30 2026