Lukas Huber
Founder & AI Strategist
Boost efficiency for Swiss SMEs: Organize recurring AI tasks in ChatGPT & Claude and gain valuable time for strategy.
Imagine your employees could invest an extra 12 hours per week in strategic tasks instead of dealing with repetitive texts, email drafts, or data analyses. For many Swiss SMEs, this might sound like a pipe dream. But the reality is: such an increase in efficiency is more attainable than ever, thanks to more advanced organisation in AI assistants.
Almost half (45%) of Swiss SMEs now see Artificial Intelligence as a concrete advantage for their business operations, according to a study by kmu.admin.ch from 2026. This figure underscores that AI is no longer a futuristic concept but an established tool increasingly integrated into daily work. The real challenge now lies not just in its deployment, but in the systematic utilisation of these tools.
New features in leading generative AI tools like Claude and ChatGPT promise to provide a solution right here. They enable the bundling of recurring AI tasks and the preservation of context over longer periods. What this means for Swiss SMEs and why it's crucial to leverage these opportunities now, we'll explore below.
📊 Key Facts at a Glance:
- Almost half (45%) of Swiss SMEs now view AI as an advantage for their business operations. (Source: kmu.admin.ch, 2026)
- AI assistants like ChatGPT and Claude are becoming standard work tools, comparable to Excel or email. (Source: microservice-solutions.ch, 2026)
- Anthropic's Claude Pro and Max subscribers can utilise the new 'Projects' feature to bundle recurring tasks and maintain context across sessions. (Source: MLQ.ai, 2026)
- Using AI tools like ChatGPT can help write texts in minutes instead of hours and accelerate research and analysis. (Source: microservice-solutions.ch, 2026)
How can Swiss SMEs more efficiently organise recurring tasks with the new 'Projects' features of AI tools like Claude?
The answer is clear: By creating persistent workspaces that store specific knowledge and instructions for particular tasks. Until now, interaction with AI assistants was often fragmented. Each new task, each new request, essentially started from scratch. You had to re-explain to the system what role it should take, what specific guidelines applied, and what style it should maintain. This led to unnecessary time expenditure and inconsistent results.
With the new 'Projects' features, such as those offered by Anthropic for Claude Pro and Max subscribers, this is fundamentally changing. A 'Project' is essentially a dedicated workspace set up for a specific, recurring task. Imagine you have a project called "Marketing Texts for Social Media." In this project, you'd store all relevant information once: brand guidelines, the desired tone of voice (e.g., "direct, informative, Swiss German"), the target audience, and typical formats. Then, every time you need a new social media text, you work within this project. The AI automatically accesses the stored context without you needing to re-enter it.
As someone deeply involved in prompt engineering and optimising LLM applications, I see this as a crucial advancement. It's essentially a mini-version of a specialised AI, tailored to your internal needs. The quality of results improves because the context doesn't need to be rebuilt with every request. The system effectively "learns" within this project to better understand and fulfil your specific requirements. This is a paradigm shift from ad-hoc usage to structured, repeatable application of AI.
💡 Tip: Start small and specific
For your first AI project, choose a clearly defined, repetitive task that currently consumes a lot of manual time. Examples could include: drafting customer emails, internal meeting summaries, or writing product descriptions following a fixed format. Define the parameters precisely and iterate on the instructions until the results meet your expectations. This way, you'll quickly gain positive experiences and build internal expertise.
What concrete benefits does bundling tasks and improved context management through AI projects offer Swiss SMEs?
The benefits are measurable and diverse: significant time savings, higher consistency, cost reduction, and improved compliance. Let's take the example of a medium-sized Swiss company that regularly creates product descriptions for its online shop or catalogues. Previously, an employee had to gather product features each time, adapt the style, and ensure all legal notices were correctly integrated according to Swiss standards (keyword GDPR).
With a dedicated AI project for "Product Descriptions," you'd store once:
- The desired style and tone of voice (e.g., "informative, precise, objective, Swiss German").
- Mandatory legal notices or disclaimers.
- A checklist of important product features that must always be mentioned.
- The target audience.
The time savings are enormous. Microservice-solutions.ch estimates that AI tools can write texts in minutes instead of hours and accelerate research and analysis. If we consider the initially mentioned 12+ hours per week that a team can free up through such efficiency gains, we're quickly talking about several thousand Swiss francs per month that you can instead invest in innovation or customer service. As someone involved in business analysis and strategic consulting, I know that such internal efficiency gains directly strengthen competitiveness and positively impact the P&L.
Furthermore, improved context management ensures unparalleled consistency. Brand messages remain coherent, the language style is uniform, and important regulatory requirements, such as compliance with the Swiss Federal Act on Data Protection (FADP) when processing sensitive information, can be better embedded in the instructions. This not only reduces errors but also compliance risk. It's not just about being faster, but also about working better and more securely.
🎯 Recommendation: Assess AI Readiness
Before investing in larger AI projects, a thorough AI readiness assessment is essential. This includes evaluating your data & infrastructure, your internal capabilities & culture, and your processes & organisation. Only then can you ensure that your AI initiatives are built on a solid foundation and deliver maximum benefit. At schnellstart.ai, we support Swiss SMEs precisely with this strategic preparation.
Why should Swiss SMEs invest in organising AI-powered recurring tasks now to remain competitive?
Hesitation is no longer an option; the market doesn't sleep, and those who don't act now risk falling behind. AI assistants are no longer niche products but are evolving into standard work tools, comparable to Excel or email. The Swiss SME landscape is known for its innovation and precision. However, these qualities must also be reflected in the adoption of new technologies, especially when they hold such transformative potential as generative AI.
Investing in the structured use of AI tools is not an IT expense but a strategic necessity. In our work with Strategic Management and AI Operations, we always view this from the perspective of SWOT and PESTEL analyses. Technological advancements are external opportunities that must be leveraged to underpin internal strengths and minimise weaknesses. Those who ignore the efficiency potential of AI projects create an internal weakness for themselves and allow competitors to gain an advantage.
Bundling tasks into AI projects is essentially a form of process automation at a higher level. Similar to how Robotic Process Automation (RPA) automates repetitive, rule-based tasks, AI projects standardise creative and knowledge-based tasks that were previously difficult to automate. This frees up employees to focus on more complex, value-adding activities that require human creativity, empathy, and strategic thinking. It's about augmenting and relieving human intelligence, not replacing it.
The question, therefore, is not whether you should use AI, but how you can use it most intelligently and efficiently. The new 'Projects' features are an important step in this direction. They enable even SMEs with limited IT resources to systematically scale the benefits of AI and integrate them into their daily work without having to reinvent the wheel every time.
| Feature | Ad-hoc AI Usage (Previous) | Project-Based AI Usage (New) |
|---|---|---|
| Context Management | Context often needs to be re-entered with each new request. | Context (instructions, style guides) is stored once in the project and used persistently. |
| Efficiency | Lower efficiency for recurring tasks due to repeated inputs. | High efficiency through standardised processes and less manual preparation. |
| Consistency | Results can vary significantly depending on the prompt and user's state. | Significantly higher consistency in style, tone, and content structure. |
| Error Proneness | Higher error rate due to manual input and lack of long-term context. | Reduced errors through automated context management and predefined rules. |
| Learning Curve | Each user must individually develop prompting skills. | Project templates make it easier for new users to get started and adhere to standards. |
| Scalability | Difficult to scale and standardise AI usage across an entire team. | Easy scaling through reusable project templates for entire departments. |
| Compliance/Governance | Risk of inconsistent adherence to guidelines and data protection. | Better control and adherence to internal and external regulations (e.g., FADP). |
⚠️ Warning: Not without Strategy
Introducing AI projects without a clear strategy and without considering internal processes can lead to chaos. It is crucial to first develop a well-founded AI strategy aligned with your business goals. Those who blindly implement tools without considering the impact on data, processes, and employees risk more harm than good. A solid strategy is the foundation for any successful AI deployment in your SME.
🚀 Practical Example: The "Quote Assistant" Solution
A Swiss architectural SME, which regularly prepares quotes for various construction projects, faced the challenge that each quote required significant manual effort and the consistency of the text often varied. They set up a "Quote Assistant" project in Claude. Here, they stored templates for different project types (new construction, renovation, refurbishment), standardised service descriptions, legal clauses according to Swiss construction law, and the desired professional, precise tone. Now, architects can enter the key data of the respective project, and the AI assistant generates a well-founded quote draft that only needs final polishing. This not only saves hours and CHF daily but also ensures that every quote meets the firm's high-quality standards and covers all important points.
Conclusion: The Future of Efficiency is Structured
The new 'Projects' features in AI tools like ChatGPT and Claude are far more than just a feature – they are a trailblazer for a new era of efficiency and standardisation in Swiss SMEs. They enable the power of Artificial Intelligence to be used not just ad-hoc, but systematically and repeatably for your business processes. Those who seize this opportunity now secure a decisive competitive advantage and create room for innovation and growth.
Three key takeaways for your Swiss SME:
- ✅ Structured AI Usage is Key: Say goodbye to fragmented ad-hoc usage. Establish dedicated AI projects for recurring tasks to maximise consistency and efficiency.
- ✅ Measurable Benefits Await: From significant time savings and cost reduction to improved compliance and brand consistency – the advantages of project-based AI usage are directly tangible.
- ✅ Act Now to Stay Competitive: Competitors are not sleeping. Integrating AI projects is a strategic necessity to optimise processes and free up valuable human resources for more complex tasks.
Would you like to learn how your Swiss SME can best leverage these potentials and what steps are necessary for successful implementation? We are here to assist you with our expertise. Contact us for a no-obligation initial consultation.
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