04 AI & Automation
Scorecard
AI Business Readiness Assessment
Score your business across five areas in one sitting, see your AI readiness as a percentage, and leave with a prioritised 90-day plan for adopting AI and automation safely and profitably.
How to use this tool. This scorecard is for owners and managers who want to know whether their business is ready to use AI and automation, and where to start. It takes 30 to 45 minutes to complete. At the end you will have a readiness percentage, your weakest and strongest areas, and a 90-day action plan.
Why it matters
Most failed AI projects are not technology failures. The business automated a process nobody had written down, fed a tool messy records, or gave staff no reason to use it. In each case the problem was readiness.
A tool will not fix an unclear process or unreliable data. It will do the same poor work faster. Scoring yourself honestly first tells you whether to run a pilot now, tidy your foundations, or put guardrails in place before staff start experimenting on their own.
How the scorecard works
There are five areas, each with five statements. You score every statement from 0 to 4, using the scale below. Each area is out of 20 and the whole scorecard is out of 100, so your total score is also your percentage.
Scoring scale
| Score | Meaning |
|---|---|
| 0 | Not true at all, or not in place |
| 1 | Rarely true; happens by accident or depends on one person |
| 2 | Partly true; inconsistent across jobs, people or teams |
| 3 | Mostly true; works well with occasional gaps |
| 4 | Fully true; consistent, documented and checked |
Three rules keep the result useful:
- Score what happens today, not what you intend to do.
- If you are unsure, score the lower number.
- Where possible, ask the person who does the work. Owners tend to overrate processes they have not touched for years.
The scorecard
Area 1: Direction and priorities
| Statement | Score (0-4) |
|---|---|
| 1. We can name the three business problems we most want to solve in the next 12 months. | |
| 2. We know which repetitive tasks use the most staff hours each week, measured or reasonably estimated. | |
| 3. We can describe what success would look like in hours saved, dollars or fewer errors. | |
| 4. One named person owns decisions about new technology and automation. | |
| 5. We have a small budget and protected time set aside for trials. | |
| Area 1 total (out of 20) |
Area 2: Data and information
| Statement | Score (0-4) |
|---|---|
| 1. Customer, job and supplier records live in one or two main places, not scattered across inboxes and personal devices. | |
| 2. Our records are accurate enough to trust (contact details, job status, pricing). | |
| 3. We use consistent names, categories and quote or job numbers. | |
| 4. We know what personal information we hold about customers and staff, and where it is stored. | |
| 5. We can export our key data into a spreadsheet when we need to. | |
| Area 2 total (out of 20) |
Area 3: Processes and systems
| Statement | Score (0-4) |
|---|---|
| 1. Our core processes (enquiry to quote, job delivery, invoicing and collection) are written down. | |
| 2. Repetitive admin tasks follow the same steps each time, whoever does them. | |
| 3. Staff use our main systems (accounting, job management, CRM or spreadsheet) consistently. | |
| 4. We can point to where work gets stuck, is double-handled or has to be redone. | |
| 5. In the last two years we introduced a new tool or process and it stuck. | |
| Area 3 total (out of 20) |
Area 4: People and culture
| Statement | Score (0-4) |
|---|---|
| 1. Staff understand why we are considering AI and automation, and what it will and will not change. | |
| 2. At least one capable, curious person could lead a small trial. | |
| 3. Staff have paid time to learn and test new tools. | |
| 4. Staff have a safe way to raise concerns and suggest improvements. | |
| 5. We are prepared to have honest conversations about how roles may change, and to get advice where needed. | |
| Area 4 total (out of 20) |
Area 5: Risk, privacy and governance
| Statement | Score (0-4) |
|---|---|
| 1. We have a clear rule on what must never be entered into public AI tools (client confidential material, personal information, pricing, intellectual property). | |
| 2. Before adopting a tool, we check how it stores and uses our data and where that data is held. | |
| 3. A person reviews AI-generated work before it reaches a client or drives a decision. | |
| 4. We understand our obligations under the Privacy Act and, for email or SMS outreach, the Spam Act 2003, or we have sought advice. | |
| 5. If a tool fails or is switched off, we can fall back to the manual process. | |
| Area 5 total (out of 20) |
Area summary
Copy your area totals here. The lowest percentage is your first priority.
| Area | Your score | Maximum | Percentage |
|---|---|---|---|
| 1. Direction and priorities | 20 | ||
| 2. Data and information | 20 | ||
| 3. Processes and systems | 20 | ||
| 4. People and culture | 20 | ||
| 5. Risk, privacy and governance | 20 | ||
| Total | 100 |
Reading your result
| Total score and percentage | Readiness level | What it means | Priorities |
|---|---|---|---|
| 0 to 29 | Foundations first | AI would add cost and confusion right now. | Define your priorities, write down core processes, clean up records, and set a basic data-use rule. |
| 30 to 49 | Early stage | Some pieces are in place, but results would be patchy. | Fix your lowest area, then run one low-risk trial on a single task. |
| 50 to 69 | Ready to pilot | You can trial AI on a defined task with a clear measure. | Choose one or two pilots, name an owner, set a 30-day review, and close governance gaps. |
| 70 to 84 | Ready to scale | Your foundations support wider use. | Extend proven pilots, train staff, and track return on time and cost. |
| 85 to 100 | Well prepared | You are in a strong position. | Review risk regularly, look for higher-value uses, and keep scores honest. |
Two further checks matter as much as the total:
- Any area under 40 percent (below 8 out of 20) needs attention before you scale, even if your total looks healthy.
- Area 5 below 12 out of 20 means you should set rules and review habits before anyone uses AI on client work.
Worked example (fictional)
Swan Ridge Mechanical Services is a 22-person commercial air-conditioning maintenance firm in Perth. The owner wants AI to speed up quoting and job reports.
| Area | Score out of 20 |
|---|---|
| Direction and priorities | 11 |
| Data and information | 8 |
| Processes and systems | 9 |
| People and culture | 10 |
| Risk, privacy and governance | 5 |
| Total | 43 |
At 43 percent the business is at the early stage. Governance is the weakest area, and a technician has already pasted a client's site details into a public tool. The owner's decisions were:
- Write a one-page rule on what can and cannot go into AI tools, and brief all staff within two weeks.
- Standardise job report headings and quote categories, which lifts the data and process scores.
- Pilot AI-assisted drafting of service report summaries with the office manager reviewing every one, measuring minutes saved per report over 30 days.
- Hold off on automating quoting until the pricing records are consistent.
Your 90-day action plan
Choose actions that lift your lowest area first. Keep it to five to eight actions in total and give each one an owner and a measure.
| Timeframe | Action | Owner | How we will know it is done | Due date |
|---|---|---|---|---|
| Days 1 to 30: fix the basics | ||||
| Days 1 to 30: fix the basics | ||||
| Days 31 to 60: prepare and pilot | ||||
| Days 31 to 60: prepare and pilot | ||||
| Days 61 to 90: review and decide | ||||
| Days 61 to 90: review and decide |
Before you finalise the plan, check that:
- Every action has one named owner, not a team
- At least one action addresses your lowest-scoring area
- Any pilot has a baseline (current time or cost) and a review date
- A data-use rule for staff is in place before any pilot starts
- A fallback to the manual process is agreed
Common mistakes
- Scoring aspirations. If it is not happening consistently, it is not a 3 or a 4.
- Completing it alone. Owners rate processes more highly than the people doing the work. Ask your office manager or team leader to score independently and compare.
- Starting with the tool. Pick the problem first, then the tool.
- Ignoring privacy. Customer and staff information needs care. Check how the Privacy Act applies to your business, and do not use customer lists for email or SMS outreach without the consent and unsubscribe requirements of the Spam Act 2003.
- Treating AI as a headcount decision. If roles may change, talk to your people early and get advice on Fair Work obligations before acting.
- Piloting everything at once. One pilot with a clear measure teaches you more than five without one.
Put it to work this week
- Complete the scorecard today, then ask one other team member to score it independently and compare the differences.
- Identify your lowest-scoring area and choose the single action that would lift it most.
- Write a half-page rule for staff on what information must never go into public AI tools, and circulate it.
- Pick one repetitive task, record how long it takes now, and name who will own a 30-day trial.
- Book 30 minutes in your calendar 90 days from today to rescore and review.
Where Lotus helps
Lotus Strategic Services helps Australian small and medium businesses turn a scorecard like this into a practical, prioritised plan. That covers choosing the right pilot, setting sensible guardrails, and measuring whether the effort pays off. If you would like a second opinion on your results, Book a free 30-minute discovery call at lotusstrategic.com.au.