Free AI Readiness Assessment: Critical Steps to Scale AI

Free Assessment

Find out if your business is ready for AI

Deploying AI doesn't guarantee results.

The businesses achieving real results have built readiness across four pillars: Data Unification, Process Transparency, Digitalisation, and Integration Capability. Readiness isn't the destination — it's the sequence that makes everything after it work.

Take the free assessment and see exactly where you stand — and what to fix first.

Levels of AI Readiness

Fully Prepared - Laggards 0-30

Unprepared — foundations are missing and AI deployment would fail.
Moderately Prepared - Followers 31-60

Limited preparedness — significant gaps to address before AI can deliver value.
Limited Preparedness - Chasers 61-85

Moderately prepared — targeted improvements will unlock AI deployment.
Unprepared - Pacesetters 86-100

Fully prepared — foundations are in place and AI can scale immediately.

AI Strategy & Vision

Does your business have a clear AI direction — leadership, budget, and priorities — or is it an afterthought?

Question 1 of 4

Does your business have a strategy for deploying AI or digital workers?

Yes — we have a well-defined AI strategy with clear goals and timelinesWe are currently in the process of developing an AI strategyWe have discussed it but haven't started planningNo — we have not considered an AI strategyUnsure

Question 2 of 4

Is it clear who in your organisation is responsible for leading AI or digital transformation initiatives?

There is clear leadership and ownership of our AI directionOne person is loosely responsible but it's not formalisedIt's being explored by different people without coordinationNobody is responsible — it's not on anyone's agenda

Question 3 of 4

Has your business established a financial plan or budget for AI deployment?

Yes — a short and long-term financial plan is in placeYes — only a short-term budget is allocatedNo — but we are currently scoping costs and developing a planNo — we have no plans to allocate budget for AIUnsure

Question 4 of 4

How is your business prioritising AI investment relative to other technology or operational initiatives?

AI is our highest priority and has dedicated fundingAI is given equal priority alongside other technology initiativesAI is important but we'd need to cut other spending to fund itAI depends on other technology improvements being in place firstUnsure

Systems & Integration

Can your existing systems actually support AI and digital workers, or would everything need replacing first?

Question 1 of 4

How would you describe your current business systems in terms of their ability to connect and share data?

Fully connected — all core systems share data automatically in real-timeMostly connected — key systems are integrated with some manual gapsPartially connected — a few integrations exist but most data moves manuallyNot connected — systems operate independently with no data sharingUnsure

Question 2 of 4

Do your core business systems (accounting, ERP, HR, inventory) have APIs or modern integration capability?

Yes — all key systems have APIs and we actively use themSome systems have APIs but we haven't fully utilised themLimited — most systems are older with no integration capabilityWe don't know what integration options our systems haveUnsure

Question 3 of 4

How does data currently move between your business systems?

Real-time automated data flows between all connected systemsAutomated scheduled syncs (daily or weekly) between key systemsManual CSV exports and imports between systemsStaff manually re-enter the same data into multiple systems

Question 4 of 4

How prepared is your technology environment to support new AI tools or digital workers alongside your existing systems?

Fully prepared — our systems are modern, cloud-based, and designed for extensibilityMostly prepared — most systems could integrate with moderate effortPartially prepared — some systems would need significant upgradesNot prepared — major system upgrades would be required before AI is feasibleUnsure

Data

Is your business data clean, unified, and ready for AI — or scattered across spreadsheets and silos?

Question 1 of 4

How centralised is your business data — can it be accessed from one place for decision-making?

Fully centralised — all key data is unified and accessible in one environmentMostly centralised — most data is in connected systems but some silos remainPartially fragmented — some data is centralised but many department-specific silos existHighly fragmented — data is scattered across spreadsheets, systems, and people's inboxes

Question 2 of 4

To what extent is your business data clean, consistent, and ready for AI to use?

Consistently maintained — our data is always accurate, deduplicated, and AI-readyMostly clean — most data is reliable but some datasets need manual cleanupOccasionally clean — some data is usable but significant preparation would be neededRarely clean — substantial time and effort would be needed to organise data for any AI use

Question 3 of 4

Can your leadership team get accurate, cross-system answers to business questions without relying on manual reports?

Yes — leadership accesses unified data directly and gets real-time answersMostly — key metrics are available but some questions still require manual compilationSometimes — a few reports are automated but most require someone to pull data manuallyNo — answering business questions requires asking multiple people and reconciling spreadsheets

Question 4 of 4

Does your business have clear visibility into what data it generates, where that data lives, and who is responsible for it?

Complete visibility — we have a documented data inventory with ownership and update frequencyGood visibility — we know where most key data lives but haven't documented everythingPartial visibility — we know the main systems but not what's in spreadsheets or shared drivesNo visibility — we don't have a clear picture of our data landscape

Process & Compliance

Are your operational processes documented, standardised, and ready to hand off to AI — or trapped in people's heads?

Question 1 of 4

How well documented are your core business processes and standard operating procedures?

Thoroughly documented — all processes are written down, reviewed regularly, and accessible to the teamWell documented — most processes are captured with clear steps and responsibilitiesPartially documented — some key processes exist on paper but many gaps remainNot documented — processes exist in people's heads and rely on tribal knowledge

Question 2 of 4

How much of your compliance, quality, or regulatory record-keeping is digitised?

Fully digital — records are generated automatically, integrated with operations, and audit-readyMostly digital — compliance records are in digital systems, searchable, and regularly reviewedPartially digital — some digital forms and checklists but not connected to other systemsMostly paper — checklists, logbooks, and filing cabinets are the primary method

Question 3 of 4

How standardised are your operational processes across teams, shifts, or locations?

Fully standardised — consistent processes enforced everywhere with clear accountabilityMostly standardised — standard processes in place with occasional variationSomewhat standardised — key processes are defined but execution differs across teamsNot standardised — different people do things differently with no consistent approach

Question 4 of 4

If a key staff member was suddenly unavailable, how much critical operational knowledge would be at risk?

Negligible risk — all critical processes are documented, shared, and cross-trainedMinor risk — most knowledge is documented and distributed across the teamModerate risk — some tribal knowledge exists but core operations could continueCritical risk — several processes would stop because only one person knows how they work

Workforce Capability

Is your team equipped to work alongside AI tools — or would foundational skills be needed first?

Question 1 of 4

How would you describe the digital proficiency of your staff in terms of using current business technology?

Proficient — staff are confident and capable with all business systems and digital toolsModerate — most staff can handle day-to-day tasks but need support for advanced functionsBasic — staff use tools at a surface level and frequently need guidanceLimited — significant training would be required for staff to use digital tools effectively

Question 2 of 4

Has your business invested in training programs to build digital or AI-related skills in your workforce?

Yes — we have structured, ongoing training programs for digital skillsYes — we run occasional training sessions when new tools are introducedNo — but we plan to introduce training in the next 12 monthsNo — we have no training programs and no plans to develop themUnsure

Question 3 of 4

Does your business work with external partners, consultants, or vendors who contribute to your technology capability?

Yes — we have strategic partners who help build our internal capability with knowledge transferYes — we use external vendors for specific projects but the expertise stays with themSometimes — we bring in help for one-off issues but there's no ongoing relationshipNo — we handle everything internally regardless of capability gaps

Question 4 of 4

How confident are you that your current team could work effectively alongside AI tools or digital workers with appropriate training?

Very confident — our team is adaptable, tech-savvy, and would embrace AI tools quicklyFairly confident — most staff would adapt with proper training and supportSomewhat confident — some staff would adapt but others would struggle significantlyNot confident — our team would need fundamental digital skills training before AI is feasible

Change Readiness & Culture

Is your organisation ready to embrace AI — or would cultural resistance stall adoption?

Question 1 of 4

How urgently is your leadership team looking to adopt AI or digital transformation?

High urgency — leadership sees AI adoption as critical and is actively driving itModerate urgency — leadership considers it important but is not acting with urgencyLow urgency — leadership acknowledges it will happen eventually but it's not a priorityNo urgency — there is no momentum or discussion around AI within the organisation

Question 2 of 4

How receptive is your broader team — managers and staff — to embracing new technology or changes in how they work?

Highly receptive — widespread willingness to adopt new tools and ways of workingModerately receptive — general openness but some teams or individuals resist changeLimited receptiveness — only a few people are open to change; most prefer existing methodsNot receptive — the organisation is resistant to change and would struggle to adapt

Question 3 of 4

Does your business have experience successfully managing change when introducing new technology or processes?

Extensive experience — we have a proven approach to managing technology changeSolid experience — we've successfully completed several technology change projectsLimited experience — we've attempted change projects with mixed resultsNo experience — we have never managed a structured technology change initiative

Question 4 of 4

How would you describe the overall culture of your organisation when it comes to innovation and continuous improvement?

Innovation-driven — teams actively suggest improvements and experiment with new approachesImprovement-oriented — leadership encourages new ideas and the team is generally supportiveCompliance-focused — the organisation follows established methods and changes only when necessaryRisk-averse — the culture prioritises stability and avoids change wherever possible

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Your Pillar Breakdown

AI Strategy & Vision

0/16

Systems & Integration

0/16

Data

0/16

Process & Compliance

0/16

Workforce Capability

0/16

Change Readiness & Culture

0/16

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Levels of AI Readiness

Fully Prepared - Laggards 0-30

Moderately Prepared - Followers 31-60

Limited Preparedness - Chasers 61-85

Unprepared - Pacesetters 86-100

Your Pillar Breakdown

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