AI Consulting
AI Consulting for Swiss SMEs
We clarify where artificial intelligence can create meaningful value, which data and risks must be considered, and how your team remains in control. Implementation is available, but it is never the starting point.
30 minutes, free and without obligation. We’ll get back to you within 24 hours.
Many AI tools, but no clear decision?
New models and applications appear constantly. Without a link to your goals and workflows, individual experiments quickly accumulate without producing a sound decision.
Questions about data, quality, responsibility and team acceptance also remain unresolved. AI consulting creates an expert foundation before time and budget are committed to a tool or implementation.
What does AI consulting provide for an SME?
AI consulting connects business goals with a realistic assessment of use cases. We examine tasks, data, existing systems, capabilities and risks before recommending a model or tool.
The result is not a generic list of tools. It is a clear basis for deciding which initiatives should be prioritised, tested, rejected or solved without AI.
A prioritised AI roadmap instead of tool-driven action
You know which use cases matter, which prerequisites are missing, and where a conventional process without AI is the better solution.
For suitable initiatives, you receive clear next steps, criteria for selecting tools, and practical guardrails for data, quality and human oversight.
Which AI use cases make sense?
Suitable use cases may include research, drafting, summarisation, knowledge access, classification or support for clearly defined work steps. Value, data quality, the consequences of errors and reliable review are decisive.
Marketing automation is often the better service for recurring workflows that are already understood. AI consulting first answers the strategic question of where and how AI should be used. Automation implements a specific process and may use AI, but does not have to.
How do data, quality and responsibility remain under control?
Generative AI is probabilistic and can produce incorrect or unsuitable results. We therefore define data classes, permitted inputs, review steps and responsibilities for each use case.
Expert judgement remains with people. For legal or specialist data-protection questions, we can involve the company’s responsible professionals or external specialists where appropriate.
What you get
Your services at a glance
AI readiness assessment
We map goals, processes, data, systems and previous experience to establish a realistic view of the current position.
Use-case assessment
We evaluate possible use cases by value, feasibility, data needs, consequences of errors and required human oversight.
AI strategy and roadmap
The findings become a prioritised roadmap with clear decisions, dependencies and next steps.
Tool and model selection
We compare suitable tools and models against your requirements. Recommendations follow the use case, not a generic tool ranking.
Data, risks and guardrails
We define a practical framework for inputs, access, quality review, documentation and responsibilities.
Training and optional implementation
We enable your team to use AI safely. If internal capacity is limited, we can support or deliver a clearly defined implementation.
How we work
From the initial question to controlled use
Understand
We clarify business goals, working methods, expectations, existing systems and available capabilities.
Analyse
We examine tasks, data, risks and potential use cases and separate genuine suitability from short-lived tool hype.
Prioritise
We rank initiatives by value, feasibility, effort and consequences of errors and select a meaningful next step.
Implement
You test or deliver the prioritised initiative yourself, with existing partners or with Zündstoff. Roles and review steps are agreed in advance.
Develop
We evaluate real-world experience, refine guardrails and decide on further steps based on actual use.
A 30-minute introduction, not a quick audit. The free initial consultation helps us understand your situation and goals and assess whether AI consulting is the right next step. A thorough analysis starts only with a defined engagement.
Frequently asked questions
Questions about AI Consulting
An AI consultant works with the company to assess where artificial intelligence can be used meaningfully and what prerequisites are required. This includes goals, processes, data, risks, tool selection, enablement and realistic prioritisation.
Not every SME needs a large strategy project. It does need clear decisions about which applications are permitted, useful and reviewable. The scope depends on the starting point, risks and number of relevant use cases.
An AI tool is suitable only when it fits the specific use case, data, existing systems and internal capabilities. We therefore do not recommend a universal list. We define criteria and compare relevant options.
Sensitive data is protected by defining permitted inputs, access rights, provider terms, storage locations and review steps. The specific technical and legal assessment depends on the use case and the data involved.
AI consulting determines where and how artificial intelligence should be used. AI automation implements a specific recurring process. An automation may include AI, but many useful workflows remain entirely rule-based.
Yes, when the analysis identifies a suitable use case and you want support. Consulting and enablement come first. Implementation is clearly scoped and documented and may also be delivered by your team or existing partners.
Related Services
Marketing Automation
When a recurring process is already clear, we implement it with rules or AI where appropriate.
GEO and AI Visibility
When your business needs to be understood more clearly by generative search and answer systems.
SEO
When organic visibility in traditional search engines is the priority.
Ready for greater visibility?
30 minutes, free and without obligation. We’ll get back to you within 24 hours.