AI Strategy for SMEs: From Vision to Implementation

AI Strategy in SMEs: Beyond the Hype

Small and medium enterprises are under pressure. While tech giants invest billions in AI, many business owners ask: "Do we need to as well? And if so – how?"

The answer: Yes, but differently than the big players. SMEs don't need an AI research department. They need pragmatic solutions for real problems.

Why AI Projects Fail in SMEs

Before we talk strategy, let's look at reality:

The sobering numbers:

• 70% of AI projects never reach production
• Only 26% of pilot projects get scaled
• 54% of employees don't regularly use provided AI tools

The most common causes:

1. Technology-driven instead of problem-driven – "We need ChatGPT" instead of "We need faster quote creation"
2. Missing change management – Buying tools without bringing people along
3. Too ambitious starts – Revolution instead of evolution
4. No measurable goals – "Become more digital" isn't a KPI

The 4 Phases of Successful AI Strategy

Phase 1: Understand – Where Do We Stand?

Before you invest, you need to know where you are. A systematic AI Readiness Check helps with this assessment.

Questions for self-analysis:

• Which processes cost the most time?
• Where do the most errors occur?
• What frustrates employees the most?
• What data do we have – and at what quality?

Status check: Our Digital Maturity Assessment shows you in 10 minutes where your company stands.