Cover Image for Before You Invest in AI: The AI Readiness Check
Cover Image for Before You Invest in AI: The AI Readiness Check

Before You Invest in AI: The AI Readiness Check

Hosted by Isabel Culebras de la Fuente
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Save Time and Money: Check Your AI Readiness Before You Invest

Live walkthrough of a structured AI Readiness Assessment using a company-wide chatbot case study as an example - designed for German SME leaders


Considering AI implementation but unsure if your company is ready?

In this practical 45-minute webinar, we'll guide you through a systematic AI Readiness Check. Using a fictional company case study that wants to implement a company-wide AI chatbot with knowledge base access, we'll demonstrate how to evaluate AI readiness with a Design Thinking-based approach.

What to Expect:

🎯 Structured Assessment Approach

  • Design Thinking methodology for AI strategies

  • Systematic analysis of your current data landscape

  • Identification of critical success factors

💼 Real-World Case Study Walkthrough

  • Fictional company implementing AI chatbot with RAG capabilities

  • Step-by-step AI Readiness Assessment process

  • Concrete evaluation criteria applied to realistic scenario

📊 Your Individual Insights

  • Checklist for your AI readiness

  • Concrete next steps for your company

  • Avoid typical investment mistakes

Who Should Attend?

  • CEOs and C-Level executives in SMEs

  • IT leaders preparing strategic AI decisions

  • Executives who need to justify AI investments

Your Benefits:

Achieve clarity instead of confusion through a structured evaluation framework for your AI projects, minimize risk by spotting pitfalls before they become costly, base every investment on data-driven strategy for truly informed decisions, and leverage practical tools such as ready-to-use checklists and clear evaluation criteria.

Speaker

Dr. Alexander Friedenberger  - IT consulting focused on pragmatic AI strategies for German SMEs

Date & Time

26. Jun. | 45 minutes + 15 minutes Q&A

Invest 45 minutes to avoid costly AI mistakes