AI Design Labs, Business AI IQ Test

Most businesses don't have
an AI problem.
They have a focus problem.

Take 2 minutes and see where your business is actually ready for AI, and where it is just carrying expensive busywork.

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Take your Business AI IQ test.

Rate your organisation across strategy, operations, data, and execution. Be honest: the point is not to look advanced. The point is to find the first place AI can remove drag from the business.

Before you start

Answer with what is true today.

Not what is in the roadmap. Not what the team hopes is true. The sharper the answers, the more useful your score will be.

Business AI IQ Test

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Business AI IQ Test

Question 1 of 12

Tap the answer that is most true today.

Strategic Foundation

Before you can focus, you need to know where you're actually starting. Most leadership teams believe they're aligned on AI, until you put them in the same room and ask the same question twice. The gap between what a leadership team thinks it agrees on and what it actually agrees on is where most AI initiatives go to die.

01A

Strategy Alignment

If you asked your leadership team where AI should help first, would they give the same answer?

A. Different answers

AI hasn't made it onto the leadership agenda in any meaningful way. No documented plan, no shared priorities.

B. Mostly aligned

Leadership broadly agrees AI matters and roughly where it applies. But it's undocumented, untested, and no one owns it.

C. One clear priority

AI is embedded in the business strategy. Leadership is aligned, budget is committed, and outcomes are measured against targets.

01B

Leadership Ownership

If a good AI idea showed up tomorrow, who would make sure it actually happened?

A. Nobody owns it

AI sits in a committee or in no one's inbox. It's everyone's priority, which means it's no one's priority.

B. Someone would try

One person is pushing AI internally, but they're doing it without formal mandate or dedicated resources. It competes with their day job.

C. A leader owns it

AI ownership sits at CEO or board level. Full strategic commitment, dedicated team, clear accountability chain from strategy to execution.

01C

Competitive Intelligence

Do you know where AI could help a competitor beat you on speed, cost, or service?

A. We have not looked

We genuinely don't know what competitors are doing with AI. We haven't looked. We haven't asked.

B. We have a rough idea

We have a rough picture of what competitors are doing, but no real depth. It's anecdotal rather than researched.

C. We track this closely

We have detailed competitive intelligence on AI that actively shapes our own roadmap. We're not reacting, we're anticipating.

Operational Clarity

Systems are where real advantage is built. If your operations depend on individual knowledge rather than documented processes, you're one resignation away from a problem, and a long way from AI-ready. Slow is smooth, smooth is fast, but only when the friction is removed.

02A

Process Documentation

If a key person left tomorrow, what would happen to the work they normally hold together?

A. It would be a mess

Every core process lives in someone's head. If they leave, the process goes with them.

B. Hard, but recoverable

Key workflows are written down, but the docs aren't regularly updated or measured for efficiency. They exist, but no one trusts them entirely.

C. We would be okay

Every critical process is mapped, measured, and continuously improved. We know exactly where time goes and we're actively reducing waste.

02B

Tool Integration

How much of the week is still copy, paste, chase, and check between tools?

A. Copy and paste all day

Every system operates independently. Moving data between tools is entirely manual. Someone is doing copy-paste work every day.

B. Some links, still gaps

Core tools talk to each other. Some key workflows are automated. But secondary processes still rely on manual steps.

C. Smooth handoffs

End-to-end integration across all tools in the core stack. No manual data handoffs. Systems talk to each other and the team talks to results.

02C

Team Capacity

How often does the team lose the day to admin, follow-ups, and putting out fires?

A. Constant fires

60%+ of the team's week goes on admin, maintenance, and repetitive tasks. Value-creating work gets squeezed into the margins.

B. Some weeks run okay

Around 20-40% of time is operational overhead. Some functions run lean, others are time sinks. It depends who you ask.

C. Mostly useful work

The team spends 85%+ of its time on value-creating work. Routine tasks are genuinely automated. People are not wasting their best hours on work a system should handle.

Data & Decisions

Clear mind, clear decisions. If your data is scattered, your decisions will be slow. Slow decisions compound into a slow organisation, and a slow organisation is one that watches from the outside as others build advantage. The question isn't whether you have data. It's whether you can trust it and act on it fast enough to matter.

03A

Data Reliability

When someone asks for a number, does the team trust it or rebuild it from scratch?

A. Rebuild every time

Data lives in spreadsheets, email threads, and people's memories. Getting a trusted number takes days, if it's possible at all.

B. One source, some doubt

One main system is in place, but not all data flows in automatically. Some gaps mean the picture is incomplete.

C. We trust the numbers

Clean, structured, connected data across all systems. Real-time access. The data foundation is genuinely ready for the next layer.

03B

Decision Velocity

When the business knows what to do, how quickly does it actually happen?

A. Weeks disappear

Significant decisions take weeks or months. Opportunities close while we're still in the analysis phase.

B. It depends who is involved

Some decisions are fast, others unpredictably slow. Speed depends on who's involved and what data happens to be available.

C. Action happens fast

Real-time data, clear ownership, rapid execution. When something needs deciding, we act within hours or a single business day.

03C

Measurement Visibility

Can leadership see problems early, or only after they have become expensive?

A. Too late

Business health can't be seen in real time, if at all. Reports are rare, manual, or nonexistent. Flying without instruments.

B. Regular snapshots

Key metrics are tracked and reviewed weekly or monthly. Not real-time, but regular enough to catch most problems.

C. Early warnings

Single-pane view of business health with live data, proactive alerts, and trend tracking. We see problems before they become problems.

Execution Capacity

Understanding the opportunity is stair one. Executing on it is stair two. Most organisations that fall behind on AI don't lack ideas, they lack the operating system to turn ideas into traction. Awareness without movement is expensive research. Transmute your awareness into momentum.

04A

AI Adoption

Is AI actually changing how work gets done, or is it still just something people talk about?

A. Mostly talk

The team isn't using AI tools in day-to-day work in any meaningful way. It's discussed, occasionally demonstrated, but not in the actual workflow.

B. Useful in pockets

Some teams use AI regularly, others haven't engaged. The benefit is real in pockets but hasn't spread into a consistent operating standard.

C. Part of daily work

AI is part of standard operating procedure across all core functions. It's not a project, it's how work gets done.

04B

Change Track Record

When the business changes the way work gets done, do people keep doing it the new way?

A. Old habits return

Initiatives rarely stick. Teams return to old habits within weeks or months. The pattern is consistent and we know it.

B. It sticks with effort

Most changes implement with significant management effort and attention. They stick, but it's more heroics than system.

C. Change sticks

The organisation moves and adapts quickly. Change is a genuine capability, not a project. When we decide to do something differently, it happens.

04C

Implementation Momentum

What has moved from AI conversation into a real improvement the business can point to?

A. Nothing real yet

Entirely in conversation and exploration mode. Nothing has shipped. The intent is there but we haven't moved from planning to doing.

B. One small win

Something is live, but it's isolated, stalling, or hasn't built into anything larger. Proof-of-concept but not momentum.

C. Multiple live wins

Multiple AI initiatives are live and learning from each other. Each one makes the next faster. We're building a compounding system, not isolated projects.

Tap an answer to continue.

Your Business AI Score

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Dimension scores, each out of 15. Your lowest dimension is the first gap AI can help you close.

Your Priority Dimension

,

Talk Through the First Fix

What this may be costing

Manual hours buried in process and data movement,

Decision delays and missed opportunities,

Tool fragmentation and data re-entry overhead,

Human capability trapped in operational instead of strategic work,

Estimated annual operational waste,

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Most businesses don't havean AI problem. They have a focus problem.