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AI Readiness Assessment

How ready is your business for AI?

Take our free assessment to discover your AI readiness score and get personalized recommendations for your digital transformation journey.

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Takes only 2 minutes

FAQ

Frequently Asked Questions

Everything you need to know about AI consulting for your business

AI can automate repetitive tasks, extract insights from large datasets, personalize customer experiences, and optimize decision-making. Common use cases include intelligent document processing, predictive analytics, AI-powered chatbots, and demand forecasting. The key is identifying where AI delivers the highest ROI for your specific business context.

The data requirements depend on your use case. Generally, you need structured and relevant historical data — customer records, transaction logs, operational metrics, or text documents. We start every project with a data readiness assessment to evaluate what you have, identify gaps, and define a data strategy before any model development.

AI consulting projects vary based on scope and complexity. A readiness assessment starts from a few thousand euros. Proof-of-concept pilots typically range from €10K-30K. Full production implementations depend on integration complexity and scale. We always recommend starting with a focused pilot to demonstrate value before larger investments.

Traditional automation follows fixed rules — if X happens, do Y. AI goes beyond rules by learning from data patterns to handle unstructured situations, make predictions, and improve over time. For example, traditional automation routes emails by keyword; AI understands intent, sentiment, and context to make intelligent decisions autonomously.

A proof-of-concept can be delivered in 4-8 weeks, showing measurable results on a specific use case. Production deployment typically adds 2-3 months. Quick wins like document classification or chatbots show impact within weeks, while predictive models may take months to accumulate enough data for reliable performance.

Data security is foundational to our approach. We implement encryption at rest and in transit, role-based access controls, and data anonymization where appropriate. All projects comply with GDPR requirements. Models can be deployed on-premise or in private cloud environments to ensure sensitive data never leaves your infrastructure.