AI Readiness Assessment: Ready for AI or Not?
Erwin Berkouwer
Everyone says AI will transform your business — but do you know if you're ready for it? An AI readiness assessment gives you a concrete starting point, not theory.
Everyone talks about AI, but the real question is: is your business ready for it? Not in theory — but concretely, at the level of your data, your people, your processes and your legal position. Many SMB directors know they need to do something, but don't know where they stand and where to start.
An AI readiness assessment gives you that answer. In this article you'll read what such an assessment measures, how your industry averages, which EU requirements already apply and what an assessment and the first steps concretely cost and deliver.
Why Postponement Costs Your Business More Than Action
Most SMB businesses do too much manual work. Entering data, processing invoices, answering customer questions, creating quotes — hours your employees spend on tasks that AI already does for your competitor. CBS research from 2024 shows that AI use varies enormously per sector: in ICT and business services, 39 to 58 percent of businesses already use AI. In construction, retail and hospitality, that's between 8 and 14 percent.
That gap is not getting smaller. Businesses that invest in AI now are building an operational advantage that's hard to catch up with later. An average SMB business with 30 employees that uses AI to save 20 hours per week realizes a productivity gain of over €25,000 per year — without extra staff. Businesses that wait pay that cost anyway: in overworked employees, higher error rates and customers who choose faster competitors.
Postponement is not a neutral choice. Every month without an AI plan is a month in which your competitors build a head start that you'll later have to catch up to with greater investment.
The problem is not the will to start. The problem is not knowing where you stand. That's exactly what an AI readiness assessment solves.
What Does an AI Readiness Assessment Measure?
An AI readiness assessment maps six dimensions of your business. Together, they give you an honest picture of where your opportunities lie and where you need to strengthen something first before starting with AI implementation.
1. Data Quality
AI only works well if the data it uses is reliable, complete and structured. The scan looks at how you collect, store and manage data — in systems like Exact Online, AFAS or your own database.
2. Processes
Which processes cost the most time? Which are standardized enough to automate? Repetitive, well-documented processes are the best candidates for the first AI agents.
3. People and Culture
AI implementation succeeds or fails on the shop floor. The scan looks at your employees' AI knowledge level, willingness to change and the presence of an internal champion — someone responsible for the rollout.
4. Technology and Infrastructure
Which software systems do you use? Are they connectable via APIs? An AI agent that doesn't integrate with your ERP or CRM is useless. The scan determines the technical feasibility of automation based on your existing stack.
5. Strategy and Objectives
Do you have a clear picture of what you want to achieve with AI? Businesses without concrete objectives start projects that get bogged down. The scan helps you set priorities: cost savings, quality improvement, scalability or customer satisfaction.
6. Governance and Compliance
This is the part most providers skip — and it's precisely crucial now due to the EU AI Act. We go deeper into this in the next section.
Where Does Your Industry Stand? The Sector Benchmark
An AI readiness assessment is only valuable if you can compare the outcome to a realistic standard. Not globally, but per sector. Yet that sector perspective is missing from virtually all existing Dutch assessment tools.
CBS data (AI Monitor 2024) shows that AI usage varies enormously by industry. The table below shows where the average SMB in your sector stands — and what leaders are already doing.
| Industry | Average AI Use in SMB | What Leaders Are Already Doing |
|---|---|---|
| ICT / Business Services | 39–58% | AI agents for quotes, customer service, code review |
| Financial Services | 28–35% | Credit analysis, document processing, fraud detection |
| Manufacturing | 15–22% | Quality control, demand forecasting, procurement |
| Transport / Logistics | 12–18% | Route optimization, invoice processing, tracking |
| Construction / Installation | 8–14% | Planning automation, quote tools, procurement optimization |
| Retail / Wholesale | 8–14% | Inventory management, chatbots, return processing |
| Healthcare / Welfare | 10–15% | Administrative processing, scheduling, file management |
What does this say? If you're a construction business with 40 employees and you score level 2 on an AI maturity scale of 1 to 5, that's normal for your sector — and at the same time an opportunity. The leaders in construction and installation are already at level 3 and automating planning and quote work. That's your direct competitive position.
Don't use the sector table to feel comfortable scoring "average." Use it to see what maturity gap you need to bridge to be among the leaders.
If you're in ICT or business services and doing nothing with AI yet, that's an acute signal. More than half your direct competitors are already using it.
EU AI Act: What You Need to Have in Place Now
This is the part that's in no existing Dutch assessment article, yet it's directly relevant to SMB directors. The EU AI Act officially came into force in August 2024. For your business, it's a phased rollout — but some obligations apply already.
What's already mandatory:
From February 2025, AI literacy requirements apply. Employees working with AI systems must demonstrably have sufficient knowledge of those systems. This applies to any organization using AI tools, even if you're using tools from a supplier.
What's coming:
From August 2026, requirements apply for high-risk AI systems. These are systems used for HR screening, creditworthiness assessment or access to essential services.
For most SMB applications, a lower risk level applies:
| AI Application | EU AI Act Risk Level | Requirements |
|---|---|---|
| Chatbot for customer service | Minimal risk | Transparency requirement: user knows it's AI |
| Invoice processing, data extraction | Minimal risk | No specific additional requirements |
| Planning and scheduling systems | Limited risk | Simple documentation required |
| CV screening / HR selection | High risk | Extensive documentation required, human oversight, registration mandatory |
| Credit assessment | High risk | Full compliance process required |
What does this mean for your AI readiness assessment? Every assessment should ask which AI applications you're considering and which risk category they fall into. That way you know in advance whether you're facing an expensive compliance catch-up later — or whether you're already in good shape.
Start with AI applications in the minimal or limited risk category. That gives you immediate returns without legal complexity. Only scale up to high-risk applications once your compliance foundation is in place.
What Does an Assessment Cost — and What Does It Deliver?
What's missing from all existing content: how much does an AI readiness assessment cost and when do you earn back the investment? For SMB directors, this is the question that determines the decision.
Costs of the assessment itself:
| Assessment Type | Cost | Timeframe | What You Get |
|---|---|---|---|
| Free online scan | €0 | 15–30 minutes | Indicative maturity level, high-level recommendations |
| Guided scan (external firm) | €1,500–€5,000 | 2–4 weeks | In-depth analysis per dimension, concrete roadmap, implementation advice |
| Full assessment + roadmap | €3,000–€8,000 | 4–6 weeks | Including use case selection, business case and project planning |
Costs of the first implementation:
After the assessment comes the real work. By way of indication:
- Standard AI agent (one use case, connections with existing software): €2,000–€8,000 setup
- Monthly costs after go-live: €200–€800 per agent
- Time to go-live: 2–4 weeks for a standard agent; 4–6 weeks for custom work
What It Delivers:
For an administrative employee spending 15 hours per week processing invoices, you save €18,000–€22,000 per year in salary and opportunity costs with full automation. An invoice processing agent typically costs €4,000 in setup and €400 per month. Payback period: 3 to 4 months.
| Business Size | Typical First Use Case | Setup Costs | Monthly Costs | Payback Period |
|---|---|---|---|---|
| 5–15 employees | Email or quote automation | €2,000–€4,000 | €200–€400 | 3–5 months |
| 15–50 employees | Invoice processing or customer service | €4,000–€8,000 | €400–€800 | 3–6 months |
| 50–250 employees | Multi-agent (procurement + finance) | €8,000–€15,000 | €800–€1,500 | 4–6 months |
Calculate the business case for your first use case before you start. Take the hours currently done manually, multiply by hourly wage and compare that to setup plus 12 months of subscription costs. In most cases, the business case is clear in less than five minutes.
How to Start in 4 Steps
You now have a picture of what an AI readiness assessment measures, where your industry stands, what the EU AI Act requires and what the costs and benefits are. Here are four concrete steps to get started.
Step 1: Do a First Free Scan
Use one of the available online tools to get a first impression of your current position. Such a scan takes 15 to 30 minutes and gives you an indication across the six dimensions. This is a low-threshold way to determine whether you need more guided analysis.
Step 2: Map Your Processes
Write down which tasks in your business cost the most manual time. Think: invoice processing, order entry, answering customer questions, creating reports, preparing quotes. This is the input for step 3.
Step 3: Determine Which Processes Are Suitable for Automation
Good candidates are: high frequency (daily or weekly), fixed structure (always the same step-by-step plan) and data-driven (you work with information already available digitally). Processes that meet these three criteria are ready for a first AI agent.
Step 4: Request a Conversation with a Specialist
An external specialist looks at your specific situation: which systems you already use, what the technical feasibility is and what's realistic for your budget and timeframe. You get a concrete roadmap — not an abstract vision, but a plan with steps, timelines and costs.
From Assessment to Action
An AI readiness assessment is not an end in itself. It's the starting point of a concrete plan. The businesses that get the most value from AI are not the ones with the highest score — they're the ones that immediately start with one well-chosen use case after the scan, that delivers quick results and builds support for further rollout.
The average timeframe from first scan to working AI agent is 4 to 8 weeks. After 3 to 6 months, the investment is recouped. That's the reality for SMBs starting now — not in two years, but today.
Don't wait until the competition gets so far ahead that catching up becomes unaffordable. An assessment costs nothing if you start with the free scan, and gives you clear insight within an hour of where your business stands and where the biggest opportunities lie.
Discover in 15 minutes where AI adds value. Take the free AI scan at unify-ai.nl.
