AI agents: The revolution for Swiss companies

‍I. The AI agent revolution: why Swiss business leaders need to act now

A. The wake-up call: "The Age of Agents has arrived" - More than just a buzzword

The technological landscape is evolving rapidly and one of the most transformative developments in recent times has been the emergence of AI agents. These intelligent systems are far more than just an evolution of existing AI tools. As Luka Bekavac, Technology Consultant at CorpIn and PhD Researcher at the University of St. Gallen, aptly stated in the CorpInSight podcast: "Google also recently said: The Age of Agents has arrived". This statement is not just a marketing buzzword, but signals a fundamental change in the way artificial intelligence is used in companies - away from reactive tools towards proactive, autonomous systems. The forecasts underline this urgency: Gartner expects 33% of all enterprise software applications to incorporate agent-based AI by 2028, a massive increase from less than 1% in 2024. This rapid projected growth rate highlights the need for SMEs to address and prepare for this shift now to avoid being left behind.  

B. The Swiss reality: between AI potential and implementation backlog

Many companies in Switzerland recognize the potential of artificial intelligence. The study "On the road to AI excellence (2025)" by CorpIn shows that 65% of Swiss companies consider AI to be part of their long-term strategy. However, only 26% have firmly anchored AI as a central component, while a significant 30% are still in the initial feasibility analysis phase.

This data reveals a critical gap: Awareness of AI is growing, but concrete strategic adaptation, particularly of advanced forms such as AI agents, is lagging behind. This represents both a challenge and an immense opportunity. While the Microsoft 2025 Work Trend Index shows that Swiss organizations are leading the way in some areas of AI adoption - 52% automate entire business processes, which is above the global and European average - this may be concentrated in larger companies or specific types of AI.  

The "capacity gap" identified in the Microsoft report is particularly revealing: 55% of managers in Switzerland demand higher productivity, while at the same time 80% of the workforce state that they do not have enough time or energy to work effectively. This capacity gap is not just a productivity problem, but a strategic weakness. AI agents can address this by automating tasks and augmenting human capabilities. They offer a solution to transform a pressured workforce into an empowered and more efficient one, which can not only increase efficiency, but also strengthen employee retention and the strategic capacity of the organization.  

C. Beyond ChatGPT: Why AI agents are the next level of intelligent automation for companies

Many companies may still equate artificial intelligence with conversational tools like ChatGPT. However, it is crucial to understand AI agents as a far more sophisticated, proactive and integrated solution. While ChatGPT responds to user input, AI agents can autonomously perform complex tasks and workflows. They are not just conversation partners, but active implementers that can intervene deeply in business processes and optimize them. For companies, this means a step from simple information procurement to genuine intelligent automation.  

II AI agents demystified: Your new intelligent digital workforce

A. What exactly are AI agents? A clear definition for decision-makers

In order to grasp the transformative potential of AI agents, it is important to distinguish them from conventional large language models (LLMs). Luka Bekavac explains in the podcast: "Before that, we had Large Language Models, where you could just prompt normally... But now we want to integrate this into business processes... You connect such a large language model, give the large language model various tools that it can execute... but can also change some things itself, for example update a status, write an e-mail or contact someone".  

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This explanation is of central importance for decision-makers. AI agents are not just "thinkers", they are "doers". They utilize the capabilities of LLMs, but are additionally equipped with tools and autonomy to act within business systems. They are "proactive" by nature and can initiate and carry out tasks independently.  

To illustrate this, an analogy may be helpful: If an LLM is a brilliant researcher who can answer any question, then an AI agent is a highly skilled project manager. This project manager not only has access to this researcher, but can also execute plans, manage resources and communicate with various stakeholders to achieve a specific business goal. 

B. The core skills: Proactivity, autonomy, learning and purposeful action

AI agents are characterized by a number of core capabilities that distinguish them from simpler automation tools. They act proactively, make independent decisions, can act purposefully over longer periods of time and - crucially - they improve through learning and experience. They are also able to understand situational contexts, company policies, process flows and the intent behind tasks.  

It is these capabilities that make AI agents so valuable. Their ability to learn means that their value to the company does not stagnate over time, but increases. If an AI agent continuously learns from new data, interactions and feedback (possibly also from human experts in a "human-in-the-loop" approach), it will become increasingly efficient and effective in performing its tasks. This leads to an increasing return on investment (ROI) that goes beyond the initial implementation costs. For example, an agent that initially processes customer queries with 80% accuracy could achieve 90-95% accuracy through continuous learning. This not only reduces errors and improves customer satisfaction, but also reduces the need for human intervention in the long term.

III. Transforming your business: Tangible benefits & use cases of AI agents for Swiss companies

AI agents are not just a technological gimmick, but offer tangible benefits and a wide range of possible applications that can be of great importance for Swiss SMEs in particular.

A. Hyper-efficient customer service: automate requests, increase customer satisfaction

One outstanding area of application for AI agents is customer management. Luka Bekavac emphasizes: "For example, customer management is a huge business process... has many tasks that would be easy to automate... repetitive requests... 'Okay, where is my product?". Such standard requests can be handled by AI agents around the clock, freeing up human employees for more complex and value-adding interactions. This leads to faster response times, consistent service quality and ultimately higher customer satisfaction. A concrete example of successful implementation is CorpIn's project with Holiday Home AG, where a multi-agent AI system in customer service was designed to efficiently process repetitive requests. This approach directly addresses the aforementioned "capacity gap" by increasing efficiency without placing an additional burden on human resources.  

B. Data-driven decisions: Uncovering the hidden knowledge in your company data

Many companies have large amounts of data, but this often remains unused. Luka Bekavac talks about "dead data": "One of the problems that many companies have is that they have been collecting data for over ten years... but the data is actually stored so inaccessibly... that they don't even learn what knowledge the company actually has". AI agents can unearth these data treasures. They are able to analyze large and complex amounts of data, recognize patterns and trends, create forecasts and thus provide well-founded insights for better strategic decisions. This is in line with CorpIn's "Data Driven" approach, which is based on measurable success and well-founded recommendations.  

C. Process optimization and operational excellence: automating routine tasks intelligently

AI agents can take over a variety of routine tasks in areas such as marketing, sales, data analysis and general process automation, for example in order processing, invoicing or supply chain management. According to Ray Smith from Microsoft, agent-based solutions can "track business processes through natural language instructions", making them accessible to less tech-savvy users. This leads directly to cost savings, a reduction in errors and an acceleration of operational processes. For SMEs, this means optimized resource utilization and the ability to focus human capital on strategic growth initiatives. The CorpIn study "Towards AI Excellence (2025)" shows that "data processing and analysis" and "administrative activities" are seen by companies as prime candidates for AI support.  

The ability of AI agents to connect disparate systems and process both structured and unstructured data also provides an opportunity to break down internal data silos - a common problem in organizations, as the CorpIn study and other sources confirm. This not only automates individual tasks, but can lead to emergent efficiencies by creating a more unified operational view. Companies often have data in different, unconnected systems (CRM, ERP, spreadsheets). AI agents can act as a connecting layer here. For example, an agent could merge customer data from a CRM, order history from an ERP and support tickets from a helpdesk system to create a holistic customer view for personalized service or identify process bottlenecks - something that is difficult to achieve with isolated data. This goes beyond simple task automation and enables systemic improvements.  

D. The technological spearhead: innovation through RAG, LangChain & Co.

The performance of modern AI agents is underpinned by advanced technologies and frameworks. In the podcast, Luka Bekavac highlights technologies such as R-RAG (Retrieval-Augmented Generation), which enables more accurate information retrieval from large knowledge bases, and Google's Gemini model with its multimodal capabilities to process text, audio and video. RAG is particularly important for enterprise applications as it improves the accuracy of LLMs by basing answers on external, verifiable data. Luka Bekavac's profile lists RAG as one of his top skills.  

He also mentions LangChain as a framework that CorpIn uses, among other things, to build agent-based systems. LangChain provides modular components to build complex AI applications by integrating LLMs with data sources and specific tools. Luka Bekavac's example of how he used the Gemini model to catalog books from a short video impressively demonstrates the potential of multimodal AI for automation tasks that were previously unthinkable.  

For decision makers, this means that AI agents developed by expert partners like CorpIn - with experts like Luka Bekavac who are adept at RAG and use frameworks like LangChain - can be far more powerful, accurate and versatile than simpler AI tools. It's about using cutting-edge technology for real business advantage.

IV. Mastering the path to AI success: overcoming key challenges for Swiss companies

Despite the enormous potential, Swiss companies face specific challenges when introducing AI agents. Recognizing these and tackling them proactively is crucial for success.

A. The Achilles heel of data: Laying the foundations for intelligent systems

A solid data foundation is the indispensable basis for any successful AI initiative. The CorpIn study "Towards AI Excellence (2025)" identifies the "data foundation" as a critical dimension of AI maturity. Worryingly, only 8% of companies surveyed rated their data structures as fully consistent and 35% reported heterogeneous, disconnected systems. Luka Bekavac emphasizes in the podcast: "The most important thing for companies... is whether data collection has even begun". Outdated legacy systems often contribute to the creation of data silos that make it difficult to access and use data. AI agents need high quality, accessible data to work effectively. An inadequate data infrastructure therefore represents a significant hurdle. This is where the importance of services such as CorpIn 's "readiness analyses", which aim to assess and strengthen precisely this foundation, becomes clear. Data is not just a prerequisite, it is the fuel. Without a solid data foundation, any AI agent initiative is likely to fall short of its potential or even fail.  

B. Skills shortages and knowledge gaps: building and deploying expertise in a targeted manner

In the CorpIn study, the "lack of qualified specialists" was identified as the biggest challenge in the introduction of AI, with 859 responses. Many Swiss companies do not have a clear AI strategy or the necessary internal expertise to successfully implement AI projects. Although institutions such as ETH Zurich and EPFL are working to counteract this skills shortage, companies cannot wait until this gap is closed. A pragmatic solution is to work with external experts such as CorpIn, who bring in AI expertise combined with business knowledge.  

The lack of specialists is directly linked to other key challenges. Without internal expertise, companies find it difficult to integrate AI into existing systems in a meaningful way (another top challenge according to the CorpIn study) or to develop a clear AI strategy. Identifying suitable AI use cases, selecting suitable technologies, managing implementation and considering ethical aspects become almost insurmountable hurdles without dedicated expertise. This cascade of challenges explains why many companies are still in the experimental phase when it comes to using AI or are avoiding the topic altogether.  

C. Strategic uncertainty & ROI measurement: From vague ideas to measurable success

The strategic anchoring of AI and the measurement of its success are further sticking points. According to the CorpIn study, only 13% of companies have defined specific, measurable AI goals, and only 8% use key performance indicators (KPIs) to track the success of AI initiatives. Many companies also struggle to identify high-impact use cases. However, any investment in AI must be justifiable. CorpIn's approach of focusing on "measurable success" is crucial here. It's not just about pure cost savings, but also about efficiency gains, improved decision-making and higher customer satisfaction. A clear strategy and defined metrics are essential to make the value of AI agents transparent.  

D. Cultural change and acceptance: taking employees along on the AI journey

The successful introduction of AI agents depends as much on people as it does on technology. The CorpIn study shows that while around 40% of employees are positive about AI, 47% have a mixed attitude. In addition, only 24% of companies have systematic feedback channels to involve the workforce. Resistance to change is a known barrier to the introduction of new technologies. Clear communication, targeted training and the active involvement of employees in the change process are therefore essential.  

If the cultural dimension is neglected, even technically flawless AI projects can fail. AI agents will change work processes and possibly also roles. Proactive change management is therefore necessary to reduce fears, build trust and ensure that employees perceive AI as an extension of their skills rather than a threat. This is closely related to the principle of "Human-Centered Design" in ethical AI design and is addressed by the "Cultural Dimension" dimension in CorpIn's Hexagon Model.  

E. Safety and ethics: Responsible use of autonomous systems

With the increasing autonomy of AI agents, concerns about security and ethics are also growing. "Privacy and security concerns" are among the top 3 challenges for companies. To make matters worse, according to the CorpIn study, only 21% of companies have comprehensive AI policies in place. Clear ethical frameworks are needed to ensure transparency, traceability, accountability and fairness. This includes aspects such as data protection, avoiding bias in algorithms and ensuring human oversight where necessary. In the podcast, Luka Bekavac mentions the importance of a "human in the loop" for certain critical decisions or actions of AI agents.  

V. CorpIn: Your Swiss partner for excellence with AI Agents

Given the complexity and challenges of implementing AI agents, Swiss SMEs need a competent and trustworthy partner. CorpIn(www.corpin.ch) is positioning itself precisely here.

A. The CorpIn Difference: More than just technology - strategy, expertise, results

CorpIn offers more than just technological solutions; the company sees itself as a strategic partner that accompanies companies on their path to digital transformation. CorpIn 's unique selling points (USPs) directly address the aforementioned challenges:  

• "Bridging The Gap": CorpIn combines in-depth AI expertise with sound business knowledge. This is crucial for SMEs that need practical and actionable solutions.
• "Digital with moderation": The focus is on targeted transformation instead of haphazard digitalization. This addresses the strategic uncertainty of many companies.
• "Data Driven": CorpIn focuses on measurable success and informed recommendations, which addresses concerns about ROI.
• "Proximity to research": academically influenced and at the same time proven in practice. The PhD activities of experts such as Luka Bekavac are proof of this.
• "Marketing savvy": A strong understanding of communication, design and customer centricity is important for user acceptance and outward-facing AI agents.
• "Digital Natives": A young, fresh perspective on technological possibilities and their implementation.

These USPs show that CorpIn not only sells AI, but also strives for strategic partnerships and sustainable business transformations.

B. The foundation for your success: The CorpIn Hexagon Model for AI maturity

A core element of the CorpIn approach is the hexagon model for assessing AI maturity. This model looks at six key dimensions that are crucial for successful AI implementation:

1. Data foundation: quality, availability and integration of data.
2. Strategic objective: Anchoring AI in the corporate strategy.
3. Cultural dimension: Acceptance and change management for AI.
4. Technical requirements: IT infrastructure, cloud use and system integration.
5. Security & privacy: data protection measures and compliance.
6. Awareness & competence: AI know-how and training measures.

This model provides a structured and holistic approach to assessing an organization's AI readiness and serves as the basis for CorpIn's readiness analyses. It shows that CorpIn has a well thought-out methodology that takes all critical aspects into account. For a decision maker who may feel overwhelmed by the complexity of AI, a clear framework such as the Hexagon model provides guidance and a comprehensible roadmap. It demonstrates that CorpIn systematically analyzes the current state and plans a way forward that also covers areas that may not be immediately in focus, such as the cultural dimension or awareness building. 

C. Expertise that counts: Luka Bekavac and the CorpIn team

The team's expertise is another pillar of CorpIn's offering. Luka Bekavac, Technology Consultant at CorpIn, is an example of this. His top skills include Retrieval Augmented Generation (RAG), Data Engineering and Software Consulting. His PhD from the renowned University of St. Gallen and his practical experience in supporting Swiss SMEs in their digital transformation underline the combination of research and practice at CorpIn.  

A quote from Luka Bekavac from the podcast illustrates CorpIn's customer-oriented approach: "That's why I think it's very important not to buy a generic product and try to implement it, but to really get to grips with it at the beginning. What exactly do we want to achieve? What exactly can we do? And then to find the individual and best solution for the company". This statement emphasizes CorpIn's commitment to tailor-made solutions and underpins the USPs "proximity to research" and "bridging the gap".  

D. Tailor-made solutions instead of one-size-fits-all: the CorpIn approach

Following Luka Bekavac's quote, CorpIn does not offer off-the-shelf solutions. The service portfolio includes "Readiness Analyses", the "CorpIn Toolbox" and "Customized Solutions" in the areas of AI, IoT or Data Hubs. CorpIn first analyzes the specific needs and circumstances of a company and then develops or selects the appropriate tools and technologies. Successful projects such as the analysis of Auto Lang AG's infrastructure and customer data, which created the "perfect foundation for future AI solutions", or the design of a "multi-channel system" for Holiday Home AG for the efficient processing of customer inquiries, are proof of this practice-oriented approach.  

CorpIn's focus on "Readiness Analysis" and "Tailored Solutions" significantly reduces the risk of AI adoption for SMEs. By first understanding the specific context and then tailoring the solution to it, CorpIn minimizes the likelihood of costly missteps - an important consideration for SMEs with limited resources. A generic product may not fit an SME's unique processes, data structures or strategic goals, which can lead to bad investments. The CorpIn approach of detailed upfront analysis(supported by the Hexagon model) and custom development ensures that the AI agent solution is fit for purpose, directly addresses the identified needs and maximizes the likelihood of a successful outcome and positive ROI. This is a strong selling point compared to competitors offering off-the-shelf solutions.  

VI Your journey to becoming an intelligent company: The strategic path with CorpIn

CorpIn accompanies companies on a structured path to the successful implementation of AI agents.

A. Step 1: Understand & Analyze - The CorpIn Readiness Analysis

Every successful AI implementation starts with a deep understanding of the initial situation. The CorpIn Readiness Analysis, based on the comprehensive Hexagon model, serves precisely this purpose. This phase is about understanding the specific business goals, evaluating the current system landscape (as in the example of the infrastructure analysis at Auto Lang AG ) and determining the company's data maturity. It is about "laying the foundation for successful projects".  

B. Step 2: Strategy & Design - Development of your customized AI Agent solution

Based on the findings of the readiness analysis, CorpIn develops a customized AI agent strategy together with the client. This includes the selection of the right technologies (e.g. use of RAG, LangChain, specific LLMs), the definition of clear use cases, the definition of KPIs for measuring success and the planning of integration into existing systems. The focus here is clearly on "tailor-made solutions" that are precisely tailored to the needs and objectives of the SME in question.

C. Step 3: Implementation & optimization - bringing AI agents to life and creating added value

In the third phase, CorpIn takes over the development, implementation and integration of the AI agent. This can include a step-by-step introduction to minimize risks and enable smooth adaptation. Throughout the process, strict attention is paid to compliance with safety standards and ethical guidelines. After go-live, continuous monitoring and optimization is performed to ensure performance and maximize ROI.  

D. The next step: start your transformation with CorpIn

Are you ready to unlock the full potential of AI agents for your SME and take your business processes to a new level of efficiency and intelligence? Don't hesitate to actively shape the change.

Contact CorpIn today for a no-obligation initial consultation and learn how our readiness analysis can lay the foundation for your AI success story.‍

The era of AI agents has begun and offers Swiss companies unprecedented opportunities to increase efficiency, optimize processes and tap into new growth potential. However, the transformation to an intelligent company is not a self-runner, but requires strategic planning, sound expertise and a reliable partner. CorpIn is ready to accompany you on this journey - with customized solutions, in-depth know-how and a clear focus on your success. Inaction risks falling behind the competition, while proactive adaptation with the right partner paves the way to sustainable competitive advantage. Take an active part in shaping the agent-based future - together with CorpIn.

VII About CorpIn

CorpIn GmbH, based in St. Gallen, is the first choice for decision-makers who want to focus on future technologies. Founded by students of the University of St.Gallen (HSG), the interdisciplinary team combines business know-how with technical expertise. CorpIn's mission is to develop individual AI and digitalization strategies that are closely aligned with the needs of future-oriented companies and create long-term added value. CorpIn is convinced that artificial intelligence can only unfold its full potential if it is not only technologically, but also culturally and strategically anchored in the company. With experts such as Luka Bekavac, who combines cutting-edge research with practical application, CorpIn helps companies to master the challenges of digital transformation and make the most of the opportunities offered by technologies such as AI agents.