AI Impact HubAI Impact HubChange a donation. See what happens.
Swipe across the canvas to see both actions.
Switch off consent. Does the fundraising team still get an alert?
When does it start?
A donation arrives.What needs to be true?
Check consent. Check the amount.What happens next?
Update the list. Notify the team.The two checks are independent. A donor can meet both, one or neither. The organisation chooses its threshold and contact policy; a person makes the thank-you call.
The donation example needs clear rules and connected systems. Checking consent and an amount does not need AI.
Workflow structure means how explicitly you define the steps and routes. Data structure means how information is organised. A clearly defined workflow can work with free text as well as neatly organised records.
Start with a few test records. Expand when you can explain and verify the result.
Check ordinary cases, no action, missing information, duplicates and failures. Compare the expected result with what actually happened.
Agree who checks it, where errors are reported, and how to pause it and do the work manually. Use approved tools, accounts and data.
Back up the workflow. Review it when tools, models or working practices change. Staff can build useful things within the organisation’s agreed boundaries.
Keep a notepad beside your monitor this week. Notice the copying, chasing and repeated steps. An occasional tedious task counts too.
Copy this prompt into the AI tool you already use. It will interview you, one question at a time.
Play with an idea you’ve put off. Build a small experiment. Try a more personal way to thank a donor. Automation can give you the space to explore what else is possible.
Find your first task, choose where to build it and make a plan.
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