AI Impact HubThe AI Impact Gap Audit
Your team uses AI. Is it actually paying off?
For leadership teams whose AI conversation has moved from "should we?" to "why isn't this doing more?".
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92% of nonprofits report using AI; 7% report major impact on their mission. This free audit is twenty brutally honest minutes to find out which side of that gap you're on — and the one thing to fix next, with an owner and a date.
The real audit, live. For each statement: be harsh — a generous score here just hides the thing this exists to find. If you run it with your leadership team, score privately first, then compare; the disagreements are more useful than the total.
Past the chatbox
Some of our AI use goes beyond asking questions in a chat window — projects loaded with our context, tools connected to our documents, or scheduled tasks that run without being asked.
The middle moved
Our typical staff member uses AI on real work weekly. Not our one champion: the median person.
Workflows, not moments
We have at least one complete piece of work — a report, a grant, a comms cycle — where AI's role is written down and the process survives the person who invented it.
Somebody checks
AI-assisted work gets quality-checked before it ships, and everyone knows the checking is part of the job, not an insult to the tool.
The rework is counted
When we say AI saved time, we count the fixing, checking and re-prompting inside that number, not just the first draft's speed.
Value has a number with a range
We can name what AI is worth to us this quarter — hours, output, quality — as an honest range, not a feeling.
Our context is an asset
Our strategy, voice, examples of good work and key documents are loaded where the AI can use them, so it is not meeting us for the first time in every chat.
What works, spreads
A prompt or workflow that works for one person has a home — a shared library, a written skill — where the rest of the team can pick it up.
The rules are real
There is a policy people have actually read, with clear lines on what data never goes in — and it covers connectors and agents, not just copy-and-paste.
Measurement changes something
The last time we looked at how AI was going, it ended in a decision — a tool dropped, a training run, a workflow fixed. Not just a chart.
Nothing scored yet — start at the top.
A low score with high AI usage is the most common result we see, and the most fixable — the gap is almost never the technology.
- The ten statements, printable, with room to score as a team
- Why your time-saved numbers are probably inflated, and how to quote honest ones
- The one-action rule that stops this being another survey nobody acts on
- The re-run rhythm: quarterly, opening with what happened to last quarter's action
Take it with you.
Share it freely inside your organisation. That is what it is for.
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