AI Consulting for SMEs: Process, Benefits, and Costs

AI is no longer an experiment in German SMEs, but an everyday reality. According to current surveys by the ifo Institute, over half of German companies are using or planning to use Artificial Intelligence. The gap is striking: large companies are at over 67 percent, while medium-sized companies are significantly lower. SMEs who do not get started in a structured way now will measurably lose ground.

This is exactly where AI consulting for SMEs comes in. However, many managing directors don't know what such a project specifically involves: How does it work? What does it really deliver? And what does it cost? This article answers these three questions based on practical experience – so you can make a well-founded decision instead of remaining in the dark.

When AI Consulting is Worthwhile for SMEs – and When It Isn't

Before we talk about the process and costs, an honest assessment is worthwhile. Not every need requires strategic AI consulting.

If you only want to train a team in a specific tool, you're often better off and cheaper with the tool provider – most offer their own training and certifications. A pure integration question – such as connecting an AI system to your existing IT – belongs to a system house or IT consultant. An isolated data protection question can be clarified faster by a specialized data protection officer.

Strategic AI consulting is worthwhile when AI is to be introduced across departments and in a planned manner: when strategy, governance, data protection, technology, and employee empowerment need to come together. This is the case as soon as multiple areas are affected, data needs to be protected, and it's about more than just a single tool.

How an AI Consulting Project Works in SMEs

Serious consulting follows a transparent process instead of a tool recommendation on day one. In practice, a four-phase approach has proven successful.

Phase 1 – Situation Assessment (1–2 weeks). The beginning involves an inventory: Which AI tools are already in use, where is the data located, which processes have the greatest leverage? A good AI consultant measures your maturity level here, instead of immediately selling solutions.

Phase 2 – Strategy and Use Case Prioritization (2–4 weeks). From many possible applications, the two to three with the best benefit-risk ratio are selected. In parallel, it's clarified who in the company decides on and is responsible for AI deployment – i.e., governance.

Phase 3 – Implementation and Empowerment (4–12 weeks). The prioritized use cases are piloted and transferred into operation. Employees are trained, rules documented, data protection and the EU AI Act are considered from the outset – not retrofitted expensively.

Phase 4 – Iteration (ongoing). AI technology changes quickly. Good consulting remains on board until the productive solution and establishes a rhythm in which results are measured and adjusted. This is the 6Rocks standard: legally compliant from the start – and we stick with it.

What Benefits Good AI Consulting Brings to SMEs

The benefits of AI consulting for SMEs are evident in three concrete results.

Orientation instead of activism. Instead of ten pilot projects simultaneously, you focus on the few use cases with real leverage. This saves money and nerves.

Security instead of gut feeling. After the consultation, you know which data you are allowed to use and which AI systems are to be assigned to which risk class according to the EU AI Act. This is particularly relevant now: Transparency obligations must be established before the next stages of the law take effect.

Pace with practicality. You get to implementation quickly, without realizing after twelve months that the solution is not legally or organizationally sustainable. A good AI consultant also empowers your team, instead of making you permanently dependent.

What AI Consulting Costs for SMEs

There are no flat rates – costs depend on scope, industry, and maturity level. Understanding the models is more reliable than a single number. In practice, three are common:

• Daily Rate Model: You pay per consulting day. Common for clearly defined tasks and situation assessments.
• Project Fixed Price: A fixed price for a defined outcome, for example, an AI strategy or a governance model. Provides planning certainty.
• Retainer: A monthly contingent for ongoing support – useful during the implementation and iteration phases.

It's important to distinguish between consulting and operating costs. The ongoing tool and license costs are added to the consulting fees – and they are becoming increasingly difficult to calculate. Many providers are now switching to token-based billing, which can significantly increase costs depending on usage. Good consulting factors in such operating costs from the outset.

The sensible question, therefore, is not "What does the cheapest consulting cost?", but "What benefit outweighs the costs?". A prioritized use case that measurably streamlines a process often refinances the consulting within a few months.

What You Should Do Specifically

1. This Week: Formulate in one sentence what problem AI should solve in your company.
2. Assess Your Needs: Check whether you need strategic consulting or if tool training, IT integration, or individual data protection advice is sufficient.
3. Before the Initial Meeting: Ask for a written outline of the approach for the first few weeks and a transparent cost model.
4. When Choosing: Ensure that governance and the EU AI Act are considered from the outset, not as an afterthought.
5. In the Contract: Anchor knowledge transfer and measurable success criteria.

SMEs are catching up in AI but still lag behind the larger players. Good AI consulting closes this gap strategically.