Digital Transformation for Businesses: Strategy & AI Integration 2026

Digital Transformation for Businesses: Key Takeaways

• Core Objective: Digital transformation involves restructuring the entire technical infrastructure to make information available across departments wherever it's needed for decision-making.
• Measurable Benefits: According to studies, companies with a high level of digital maturity achieve efficiency gains of up to 31% and reduce their operational costs by approximately 20%.
• Competition in Switzerland: In a highly digitized market like Switzerland, transformation is a prerequisite for scalability and compliance with the new Data Protection Act (nDSG).
• A Successful Strategy relies on modular software architecture, unified data governance, a consistent customer experience (CX), automated processes (Operational Excellence), and the promotion of digital skills within the team.
• Phased Rollout: The process unfolds in four phases: Assessment, strategic design of the system landscape, company-wide implementation (Scaling), and continuous optimization.

What Does Digital Transformation Mean for My Business?

Digital transformation within a company means rebuilding the technical foundation, including hardware and software, so that information becomes available wherever it's needed for a decision. This includes, and especially applies to, information across departmental boundaries.

• Automated Data Exchange: Information flows directly between systems. When sales mark a deal as closed in the CRM, the data is immediately made available for logistics and invoicing.
• Data Foundation: A clean data foundation enables management to base planning on real-time values. For example, the system independently reports deviations in the supply chain or project budget before they lead to financial losses.
• Data Protection: The requirements of the Swiss Data Protection Act are directly integrated into the software logic. The system controls who can access which customer data and when information must be deleted.
• Agility in Market Changes: A modular technical foundation allows the company to react to new laws or market conditions within a few days. Its IT is built from modular components that can be rapidly adjusted.

Current State of Digital Transformation in Swiss Companies

Switzerland ranks in the IMD World Digital Competitiveness Ranking 2025/2026 first place. This puts significant competitive pressure on local companies: A digital infrastructure has become a fundamental prerequisite for market participation. Although many businesses have the technological foundation, the depth of its utilization varies significantly.

Benchmarking: Where do Swiss companies stand?

According to the Swiss AI Report 2025, a two-tiered picture emerges:

• The Frontrunners (approx. 8%): These companies have fully streamlined their data architecture. Information from production, sales, and finance is available in a standardized format. This enables the use of AI agents that perform complex tasks without human intervention.
• The Large Middle Segment (approx. 46%): These businesses use modern software, but struggle with data silos. Although information is available digitally, the CRM, for instance, 'doesn't know' what's in the ERP system. Here, transformation means opening these interfaces to enable seamless data utilization.

Trends in Corporate Digital Transformation

Three developments are shaping the direction of Swiss companies:

• Hyperautomation: Companies are aiming to have entire process chains run autonomously. Example: A system detects an inventory bottleneck, checks alternative suppliers based on daily updated prices, and prepares the order, including the necessary contract documents, ready for signature.
• AI-Native Platforms: Companies use platforms designed from the ground up to recognize data patterns. For example, the system proactively suggests to project management to reallocate resources because it anticipates delays in a sub-project before they become apparent in the weekly status meeting.

Sovereignty and Confidential Computing: Due to the strict requirements of the nDSG and the sensitivity of trade secrets, Swiss companies are increasingly using technologies where data remains encrypted even during processing in the cloud. This allows, for example, banks or pharmaceutical companies to perform data analyses in the public cloud without losing control over the raw data.

Tip: Learn more about the digital transformation of small and medium-sized enterprises.

What does digital transformation in companies entail?

Digital transformation in companies consists of five components: a modular architecture, cross-departmental data ownership, a seamless customer experience, the automation of operational processes, and the development of digital competencies within the team. The aim is to transform organizational structures into a flexible, data-driven business model.

Agility through a modular architecture

Companies rely on a modular architecture (microservices). Example: If a company wants to integrate a new payment method in its online shop or replace a logistics module, these new components can be quickly integrated via interfaces (APIs), instead of having to reprogram the existing system.

Data Ownership

Data is a real asset when it is uniformly defined across departments. A customer's data record is then consistent throughout the entire company, so that, for example, marketing and accounting have access to the same information.

Automated data governance ensures that data quality remains high by immediately detecting and correcting incorrect entries or duplicates. Only then can AI systems later generate accurate forecasts.

Seamless Customer Experience (CX)

All customer information is visible in real-time to every employee with customer contact. If a customer calls support, the employee immediately sees the last order, the current delivery status, and previous complaints, without having to ask the customer for tracking numbers or invoice details.

Automated Collaboration

This area aims to ensure that processes seamlessly interlock across departmental boundaries, without anyone having to manually intervene or forward information.

An example is the order-to-cash process: As soon as a customer places an online order, the system automatically checks their creditworthiness in the background and forwards the order to the warehouse. Concurrently, the invoice is generated and shipping is prepared.

All these steps are orchestrated, meaning they are coordinated in terms of timing and logic. Your employees only need to intervene if the system reports an inconsistency, for example, if a delivery address is incomplete.

Building Team Competencies

Digital transformation also means intensively training the team so that they can interpret data and competently use and leverage new software.

The goal is for your employees to delegate routine tasks to technology, thereby freeing up time for more complex tasks, such as personalized advice for challenging customer cases or product development.

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How does the digital transformation process work?

The digital transformation process follows a four-phase roadmap: It begins with an inventory of current IT systems (Assessment), moves through the definition of strategic goals (Design), company-wide implementation (Scaling), and culminates in continuous adaptation to new market conditions (Optimization).

This process ensures that technological innovations genuinely contribute to your business goals and that your team can embrace the changes.

are efficient or whether new features – such as AI-powered analytics – can further improve the process.

Phase 1: Inventory and Goal Setting (Assessment)

First, you inventory the software and hardware present in the company and identify where information is currently still being transferred manually. You define which problems the transformation should solve, for example, reducing response times in customer service or lowering the error rate in logistics.

Phase 2: Designing the New Structure (Strategy Design)

You now decide what your future IT landscape should look like. You select modules that can communicate with each other via interfaces. Examples include:

• CRM: A system that acts as a central repository for all customer data (for example HubSpot), ensuring marketing and sales share the same information.
• ERP: Software for inventory management and finance that reports real-time inventory data directly to your webshop.
• Document Management: A module that automatically archives contracts in a legally compliant manner and monitors deadlines.
• Analytics Layer: A tool that aggregates data from all other modules to provide you with dashboards for your business decisions.

Here, you already incorporate the rules for the Swiss Data Protection Act (nDSG) into the system design. For example, you define that the CRM automatically restricts access rights: A warehouse employee can see the delivery address, but not the confidential meeting notes of the key account manager. This way, compliance with regulations is automatically ensured later by the software logic.

Tip: Learn more about Process Automation and Sales Automation.

Phase 3: Company-wide Rollout (Scaling)

In this phase, you roll out the new solution to your departments. The focus is on breaking down data silos so that information can flow across departments. In parallel, you train your team so that everyone involved can work confidently with the new systems and directly experience the benefits in their daily work.

Phase 4: Continuous Improvement (Optimization)

As technologies and market conditions are constantly changing, you regularly use key metrics to verify if your processes are still performing as intended.

You decide whether new features, such as AI analytics for forecasting, can further improve your processes to remain competitive in the long term.

How can the ROI of digital transformation be measured within a company?

The Return on Investment (ROI) of digital transformation can be measured by three main factors: the reduction of operational costs through automated processes, the increase in revenue through a higher conversion rate, and the improvement of data quality.

• Reduction in cost per order: By eliminating manual data entry (e.g., from CRM to ERP), the time spent per customer order is significantly reduced. You simply measure how many staff hours were previously required to process 100 orders compared to today.
• Reduced lead times: How long does it take from the initial customer inquiry to the final offer or delivery? A transformed system can shorten this process by days, as approval processes and information flows run automatically in the background.
• Increase in Customer Lifetime Value (CLV): When your data is centrally available, you can target customers more effectively. You immediately see when a customer needs an upgrade or when a contract is expiring. This leads to higher customer loyalty and thus more revenue per customer over the entire contract term.
• Error Rate and Complaint Costs: Manual transfer errors (e.g., incorrect item numbers or address errors) directly cost money. An integrated system environment reduces these "dirty data" problems almost to zero, lowering your support and logistics costs.

What hurdles can I expect during my company's digital transformation?

The biggest challenges in digital transformation are selecting the right technology from a vast array of software options, and implementing sometimes very complex systems that can quickly overwhelm inexperienced teams in their daily work.

• Market Abundance: The market for enterprise software has grown so large that it's almost impossible to find the right tool without expert help. Many companies choose systems based on features they don't actually need, and then pay for unnecessary complexity.
• Complexity: When you implement a powerful system like HubSpot, the potential is huge, but getting started can be frustrating for an inexperienced team.
• Outdated Legacy IT: Often, new solutions need to communicate with old systems that are technically hardly modifiable. Creating these interfaces requires deep technical expertise.
• Lack of Team Expertise: There's a lack of resources to properly set up automations, clean up data, and train the team effectively.

To ensure your transformation doesn't fail due to these hurdles, Axisbits offers you support, especially with the implementation and optimization of HubSpot and comprehensive automations of your processes.

As an official HubSpot Solution Provider, we ensure that your system runs as expected from day one and bring your employees to a level where they can work independently.

• Confident Start with HubSpot: Axisbits helps you to implement HubSpot as an engine for your growth. We focus first on stable basic processes before activating complex AI functions.
• Workflow Design & Automation: This ensures that your automations run reliably from day one and your team's workload is significantly reduced.
• Integration of Third-Party Systems: If you need to link your CRM with other tools or old legacy systems, we take care of the technical integration and clean data transfer.

Training and Support: We won't leave your team alone with the new software. Through training, we ensure that your employees understand the new capabilities. If problems arise, we are the only point of contact you will need.

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