Work automation for everyday tasks.
Find tasks worth automating, build a workflow you can check, and know when a person should step in.
Start here
Use these three steps to decide what to change first.
- 01Choose a repetitive task that happens often and has a clear result.
- 02Write down how it works today, including the usual exceptions.
- 03Test one change, check the result, then decide whether to expand it.
Office Automation: A Practical Guide to Automating Everyday Work
Learn which office tasks to automate first, see common examples, and plan a workflow you can check.
Read the guideWhat this guide covers
- Spot work that repeats, follows consistent rules, and is easy to check.
- Choose between a simple rule, no-code workflow, or AI-assisted step.
- Measure time saved and errors avoided before expanding the workflow.
Field guide 01
Choose the right level of work automation
The most useful work automation is usually the smallest reliable change. Match the method to how predictable the task is instead of starting with the most powerful platform.
Use a rule for stable, repeatable decisions
Filters, templates, scheduled actions, and simple if-then rules work well when the same input should produce the same result. They are easier to inspect and repair than a complex workflow.
Use a workflow for handoffs between systems
A workflow tool makes sense when approved information must move between forms, inboxes, trackers, calendars, or project boards. Define the trigger, destination, owner, and success check before connecting anything.
Use AI only where interpretation adds value
AI can help classify, summarize, or draft when inputs vary, but its output needs review. Keep deterministic steps around the AI step so failures are visible and recovery remains straightforward.
Field guide 02
Set human review by consequence
Review should reflect the cost of a mistake. A low-risk internal draft may need a quick spot check, while an external commitment or access change should require explicit approval.
Keep approval for high-impact actions
Require a person before sending sensitive messages, moving money, changing permissions, deleting records, or making decisions that affect customers or employees.
Give exceptions a named owner
Route missing data, duplicates, unclear requests, and failed connections to a queue someone actually checks. Include enough context for that person to resolve the case without reconstructing the workflow.
Preserve a practical recovery path
Document how to pause the automation, undo a change, and run the old process temporarily. Recovery instructions matter more than a perfect happy-path diagram.
Field guide 03
Measure the whole workflow
A fast automated step can still create more work through setup, checking, corrections, and maintenance. Compare the complete process before deciding that an automation is successful.
Record a baseline first
Track how often the task happens, active handling time, wait time, common errors, and the number of handoffs. Without a baseline, time-saving claims are mostly guesswork.
Count review and correction time
Include time spent checking outputs, fixing bad data, reconnecting apps, and answering exceptions. The useful metric is net time saved with acceptable accuracy, not raw run speed.
Expand only after several ordinary runs
Test representative work, including missing fields and duplicates, before adding more departments or actions. A small workflow that stays reliable is more valuable than a broad one nobody trusts.