How ready is your business for AI? Eight questions, a score and a plan.
Two minutes on how you handle calls, leads, paperwork, data and follow-ups today.
What you get
- A readiness score and where you stand
- Where we'd start, and why, from your own answers
- Your results by email, if you want them
Your answers stay in your browser. Nothing is sent unless you ask for your results by email.
Your AI readiness score
A two-minute assessment across eight areas of how your business runs. We'll say where we'd start, from your most manual answers, and why.
- Calls and enquiries
- Lead generation
- Paperwork and data entry
- Decisions and reporting
- How your systems connect
- Your website
- Follow-ups and retention
- Your team and AI
What the score means. Four grades, and where each one starts.
Each answer scores 0 to 3, out of 24 in all. The grade says where you are. Your own recommendations come from your most manual answers; these are where we'd usually start when none stands out.
Scores 0–6 of 24
Early Stage
Most of the work is done by hand today, which makes the first steps simple ones. We'd take them one at a time and see each one working before adding the next.
Where we'd usually start
Scores 7–12 of 24
Building Foundations
Some tools and routines are in place, with manual work in the gaps between them. Those gaps are where we'd look first, since closing them builds on what you already use.
Where we'd usually start
Scores 13–18 of 24
Growth Ready
Most of the basics are in place. We'd close any manual gaps first, then use the data you already collect to plan ahead and hand well-defined tasks to agents.
Where we'd usually start
Scores 19–24 of 24
AI Leader
You already automate most of what we asked about. From here it's refinement: agents for research and analysis, forecasts from your own data, and data handling that keeps pace with Australian privacy law.
Where we'd usually start
Where to begin. What people ask once they know their score.
Apply four tests in order. Does it run more than about fifty times a month? Could a competent new employee learn the rules in a week? What does one instance cost you today in time multiplied by a loaded hourly rate? And what happens when it goes wrong — because if a mistake is expensive or hard to spot, the checking logic is most of the build cost. Processes that pass all four are worth automating. Processes needing judgement every time generally are not, and automating them produces confidently wrong output.
Got your score? Talk it through with the people who would build it.
A free 30-minute discovery call: where you'd start and what it would take. If AI isn't the answer yet, we'll say so.