Know where your organization actually stands before you invest in AI.
Our AI readiness checklist covers 60 questions across 6 critical dimensions, built from real client engagements - not theory. Find out if your company is structurally ready for AI, and exactly what to fix if it isn't.
Enter your details and we'll send the checklist straight to your inbox.
Eighty percent of AI initiatives fail to deliver business outcomes (BCG/MIT Sloan, 2024) - not because the technology is bad, but because the organizational conditions weren't there to begin with.
We've spent years building AI quality control and computer vision systems for manufacturers, healthcare providers, and logistics companies. We've seen organizations that looked ready on paper but weren't, and teams that seemed far behind but had the right foundations to move fast once it mattered.
The difference was never the tools they bought. It was whether they were ready to use them.
That's exactly why we built this AI readiness checklist - to give you an honest baseline before you commit resources, not after.
This AI readiness checklist covers every layer that determines whether AI will actually produce value in your organization - or quietly drain resources.
Clear AI direction tied to business outcomes, executive ownership, and measurable ROI.
Data accessibility, lineage, governance, and fitness for AI workloads - the foundation everything else depends on.
Cloud infrastructure, MLOps capability, model serving, and the pipeline from experiment to production.
Technical AI capability, business-wide AI literacy, and the cross-functional teams needed to execute.
AI governance frameworks, model risk management, and regulatory readiness - including the EU AI Act.
Leadership commitment, change management, and the organizational habits that make AI stick.
We've assessed organizations with million-euro AI budgets that weren't ready. We've assessed teams of five that were. Readiness has nothing to do with company size or budget - it has everything to do with whether the foundations are in place.
If you fill out this checklist honestly, you'll get an honest answer. It's designed to surface gaps before they turn into expensive mistakes - a failed implementation, a compliance issue, or a tool purchase that gathers dust. We don't tell every company they're ready for AI, because most aren't yet. Rushing in before the conditions are right is how you become part of that 80% statistic above.
No / Partial / Yes format across 6 dimensions. Takes about 30 minutes to complete honestly.
Four levels from Foundation to AI-Native. See exactly where you stand out of 120 points.
Each dimension includes specific 90-day actions for closing your biggest gaps.
Includes EU AI Act readiness, model risk management, and data governance - not just technology.
Designed to be filled out by 3–5 stakeholders. Compare scores across leadership, tech, and business functions.
No tool recommendations, no vendor pitches - just an honest read on where your organization stands today.
Anyone evaluating whether their organization should invest in AI - typically operations leaders, IT directors, or executives sponsoring a digital transformation initiative. It works best when 3–5 stakeholders across leadership, technical, and business functions complete it independently so you can compare perspectives.
About 30 minutes if you answer honestly. Each of the 60 questions uses a simple No / Partial / Yes format, so the time investment is in thinking through the answers, not filling out a complex form.
Your score places you in one of four readiness levels, from Foundation to AI-Native. Each dimension in the checklist includes specific next steps for closing gaps. If you want help acting on the results, Agmis works with organizations on targeted readiness programs and implementation support.
No. The checklist was built from engagements across manufacturing, healthcare, retail, logistics, and technology companies. The six dimensions - strategy, data, technology, talent, governance, and culture - apply regardless of sector.
No - it means specific foundations need attention before you invest further. A low score is far cheaper to receive now than after a failed implementation. The checklist includes 90-day actions for each dimension so a low score comes with a clear path forward, not just a warning.
The checklist tells you where you stand. But knowing your score is only the first step - the real value comes from understanding what to do about it.
Agmis works with organizations that have completed their self-assessment and want to go deeper. We provide AI quality control systems, targeted readiness programs, and implementation support for manufacturing, healthcare, retail, and logistics companies across Europe.
If your assessment reveals gaps, that's not a dead end - it's a starting point. Every organization we've worked with had gaps. The ones that succeeded addressed them deliberately, instead of pretending they didn't exist.
Talk to Our Team