How long does it take?
About ten minutes on your own, or twenty-five with a leadership team arguing about the scores. The argument is the valuable part.
Free tool
AI Readiness Scorecard
Eighteen honest statements. Ten minutes. An evidence-based answer to the question most Australian leadership teams are guessing at: are we actually ready to deploy AI, or do we have foundations to fix first?
- Score eighteen statements from 1 to 4
- Your result is scored and emailed to you
- No score is shown on this page, so answer honestly
The AI Readiness Scorecard scores an organisation across six dimensions: process clarity, data and systems access, people and capability, governance and risk, ownership and leadership, and the commercial case. Each of the eighteen statements is scored from 1 to 4. The total places the organisation in one of four bands, from Foundations First to Ready for Systematic Deployment, each with a recommended next move. It is the first step of the AI Process Audit that Rushi Vyas runs with leadership teams across Australia.
The scorecard
Score each statement from 1, not true of us, to 4, fully true.
0 of 18 answered.
Process clarity
We could write down the steps of our most repetitive administrative processes without having to ask three different people how it actually works.
When the same task is done by two different managers, it is done substantially the same way.
We know roughly how many hours a week go into our most repetitive processes.
Data and systems access
The information behind our routine decisions exists somewhere we can reach, rather than only in inboxes, phone calls, or someone's head.
Our core systems can export or share data without a manual rebuild every time.
We know where our sensitive information lives and who is allowed to see it.
People and capability
More than a handful of our staff already use AI tools in their work, formally or informally.
Our managers would be willing to change how they do a task if shown a better way, rather than treating it as a threat.
At least one person internally is curious about this and would happily own a pilot.
Governance and risk
We have a clear position on what information staff may and may not put into external AI tools.
We understand which of our processes carry regulatory, safety, or contractual consequences if an output is wrong.
We have a way to check quality before work reaches a customer, a regulator, or a frontline worker.
Ownership and leadership
There is a named person accountable for AI decisions, not a committee that meets occasionally.
Leadership can say why we are doing this beyond keeping up with everyone else.
Someone has the authority to stop a pilot that is not working without it becoming political.
Commercial case
We can name a specific cost or delay we want AI to reduce.
We would know within ninety days whether a pilot had worked.
We are prepared to fund one pilot properly rather than spread a small budget across five.
Questions
What people ask before they start
Why do I get the result by email instead of on screen?
Two reasons. It gives you something you can forward to your CEO or CFO without rewriting it, and it means I know who to follow up with if you want help. No score appears on this page.
Is a low score bad news?
No. Most organisations land in the lower two bands, and knowing that before you spend money is the entire point. A low score usually means the gap is organisational rather than technological, which is cheaper to fix than people expect.
Who is this built for?
Executives and transformation leads in Australian organisations from about fifty to five thousand staff, in finance, government, higher education, health, manufacturing and transport. It assumes no technical background.
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