Home / AI Solutions / Readiness Assessment
AI Readiness Assessment

How ready are you for enterprise AI?

Register below to activate your free AI readiness quiz. Answer 15 questions across strategy, data, platform, talent and governance — get your personalized score and roadmap instantly.

Register to activate the assessment
Enter your details below. The quiz below will become interactive once you submit.
Please enter your full name
Please enter a valid work email
Please enter a valid phone number
0 of 15 answered
🔒 Assessment Locked Please register above to activate the assessment questions.
0
Register to begin
Fill in your details above to unlock the assessment and reveal your readiness band with a recommended path.
Your recommended path

    Know your score — now close the gap.

    Bring your result to a 30-minute call. We'll map it to a 5-day discovery and a fixed-fee 21-day PoC on Mendix.

    FAQ

    Questions, answered.

    What does the AI readiness assessment measure?

    Fifteen dimensions: AI strategy, high-value use cases, data readiness, Mendix/low-code adoption, AI & low-code skills, governance & regional compliance, systems integration, delivery speed, sponsorship & adoption, cloud & deployment, process automation, experience & channels, and funding & operating model.

    Is it tailored to my region?

    Yes. The governance question adapts to your region — UAE PDPL & data residency, India DPDP Act, US sector rules (HIPAA/SOC 2), or GDPR & the EU AI Act.

    Who is it for?

    Any executive — CIO, CTO, VP of Technology, or a business/function owner. The questions are written to be answerable without deep technical detail.

    What do I get at the end?

    A readiness band (Exploring, Building, Scaling or Leading) with a tailored explanation, a recommended 3-step path, and next-step links — delivered instantly after completing all questions.

    What is agentic AI?

    AI systems where autonomous agents plan and take multi-step actions across tools and workflows — beyond a single chatbot reply.

    What is retrieval-augmented generation (RAG)?

    A technique that grounds an LLM in your own data at query time, improving accuracy and reducing hallucinations.

    How is generative AI different from traditional AI?

    Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.

    How much does an AI proof of concept cost?

    We deliver a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after a 5-day discovery.

    Register

    Select The Country Code