AI automation for Swiss companies

AI Automation in Switzerland

We automate your repetitive tasks with AI: support, sales, back-office, document processing. Plugged into your tools, hosted in Europe.

European hostingOpen-source modelsPlugged into your tools

14'137+ sites created in the last 30 days

actif
🇪🇺 Europe
Falkenstein
Helsinki
Nürnberg

Hetzner · Europe

US cloud
European hosting
Open-source models
Plugged into your tools

In 2026, a growing share of Swiss businesses use some form of artificial intelligence. Yet most limit themselves to occasional co-pilots. Real operational transformation, the kind that frees up dozens of hours per week, rests on end-to-end process automation: data entry, document processing, customer support, reporting, business workflows. Kleap supports SMEs and mid-sized businesses in Switzerland in moving from experimentation to industrialization, without dependency on an American cloud.

14'137+
sites created in the last 30 days
16
languages
100%
European hosting
0
US cloud

What we automate

Fewer manual tasks, more time for what matters.

Custom workflows

We model your processes and automate them with AI, end to end, without breaking your organization.

Support and sales

Request triage, first-level answers, lead qualification: AI handles the volume, your teams keep control.

Back-office

Data entry, document extraction, reconciliation, follow-ups: we automate the tasks that eat your days.

Measure and steer

Clear dashboards to see what automation saves you, in time and money.

What your teams can stop doing by hand

AI automation does not replace your employees: it takes away the low-value tasks that exhaust them and slow your growth. The fastest gains typically concern four major families of processes.

  • Document processing: extracting data from invoices, contracts, purchase orders, and forms. Typical result: a significant reduction in daily processing time for an accounting team.
  • Customer support and sales: AI agents that qualify incoming requests, answer frequent questions 24/7, and escalate to the right person. A large share of routine requests can be handled without human intervention.
  • Back-office and coordination: ERP/CRM synchronization, automated follow-ups, weekly report generation, multi-step workflow validation.
  • Analysis and steering: real-time dashboards, business alerts, anomaly detection in your operational data.
  • Onboarding and internal communication: assisted drafting, meeting summaries, a knowledge base your teams can query.

Use cases by sector

Automation needs vary greatly by sector. Here are the most frequently deployed use cases in French-speaking and German-speaking Switzerland.

  • Fiduciaries and accounting firms: automatic extraction of VAT data, bank reconciliation, reminder letter generation, balance sheet summaries.
  • Industry and logistics: supplier order tracking, non-conformity management, automated quality reporting, inventory forecasting.
  • Healthcare and care sector: triage of administrative requests, appointment scheduling, file summaries, document compliance.
  • Legal services and compliance: contract review by clause, automated regulatory monitoring (nLPD, EU AI Act), standard letter generation.
  • Real estate and construction: offer processing, site monitoring, minutes generation, automated client reporting.
  • Associations and public bodies: citizen request management, meeting summaries, automated document publication.

Our four-step method

Every automation project follows a structured process that minimizes risk and maximizes adoption by your teams. We do not deliver demo prototypes: we deploy on your real data.

  • Opportunity mapping (weeks 1-2): audit of your current processes, identification of high-volume repetitive tasks, assessment of recoverable time and potential ROI.
  • Working prototype (weeks 3-4): building a first automated workflow for a priority use case, tested on your real data, validated by your field teams.
  • Deployment and integration (weeks 5-8): connection to your existing tools (ERP, CRM, messaging, SharePoint, Google Workspace), user training, documentation.
  • Ongoing optimization: monitoring of operational indicators, model adjustments, gradual extension to other processes.

Three ways to work with Kleap

The Kleap Enterprise offering adapts to your digital maturity and internal resources. You choose the level of support that matches your situation.

  • Kleap builds for you: our partner agency Lionscreative handles the analysis, development, and deployment. You validate the milestones; we deliver. Ideal for critical projects or teams without dedicated technical resources.
  • Referral to the right provider: if your need requires specific sector expertise, we connect you with a specialized and certified partner from our Swiss network.
  • Kleap Enterprise self-serve: for teams with an internal developer or ops person, our platform lets you build and deploy AI agents, business portals, and workflows without depending on an external provider.

Digital sovereignty: why hosting really matters

Most AI automation solutions route your data through American servers. For a Swiss SME, this creates three concrete risks: non-compliance with the nLPD in the event of transfer without adequate guarantees, operational dependency on a foreign provider, and loss of control over the confidentiality of your sensitive business data (quotes, client files, HR data).

  • Infrastructure hosted on Hetzner (Germany, European Union), ISO 27001 certified operator: no data leaves the European legal space.
  • Open source models deployed in the EU: AI processing runs on our servers, not on US cloud APIs.
  • nLPD compliance: our architecture is designed to comply with the Federal Act on Data Protection (in force since September 2023).
  • EU AI Act: our deployments incorporate the risk classification requirements applicable to Swiss businesses serving clients in the EU.
  • No reuse of your data for training purposes: your business data remains yours.

The impact on your teams and skills

Many forward-looking analyses highlight that AI will fundamentally transform a significant proportion of professional skills in the coming years. This transformation does not mean job elimination: it shifts human effort toward higher-value, analytical, and relational tasks. Our support systematically includes training your teams so that they benefit from the new tools rather than being overwhelmed by them.

  • Practical training included in every deployment: your employees know how to use the new workflows from day one.
  • Operational documentation provided: internal procedures, user guides, escalation protocols.
  • Change management support: identification of internal champions, co-construction workshops.
  • General AI upskilling: optional collective training to bring awareness to all management.

What Kleap offers that local agencies do not

Swiss AI automation agencies generally offer one-off integrations based on no-code tools (n8n, Make, Zapier) or third-party APIs. Kleap combines a proprietary sovereign platform with agency-level support, which offers different guarantees.

  • Proprietary platform: your workflows and AI agents run on infrastructure we control end to end, not on an American SaaS that can change its terms or disappear.
  • Open source models: the ability to deploy language models on your own internal data, without sending your data to OpenAI or Anthropic.
  • Custom business portals and software: beyond task automation, Kleap makes it possible to build internal user interfaces (dashboards, client portals, back-office tools) that your teams use every day.
  • Native integration with your existing tools: ERP, CRM, messaging, SharePoint, Google Workspace, proprietary databases.
  • No third-party dependency: your automation remains operational even if Kleap evolves as a partner, because we deliver code that you can host yourself.

The regulatory context your leadership needs to know

Two regulatory texts directly impact your automation decisions in 2026. Ignoring them exposes your company to legal and reputational risks.

  • nLPD (Federal Act on Data Protection, in force since September 2023): any automated processing of personal data must be declared, justified, and secured. The right to erasure and algorithmic transparency are enforceable.
  • EU AI Act (progressively applicable since 2025): Swiss businesses serving clients in the EU are subject to the classification of AI systems by risk level. High-risk systems (HR, credit scoring, healthcare) require explicit documentation and human oversight.
  • Kleap incorporates these requirements into the architecture of every deployment: activity logs, human oversight on critical decisions, compliance documentation.

What ROI to expect from an AI automation project

Return on investment timelines vary depending on the complexity of the automated process and the volume of transactions involved. The simplest projects (document extraction, responding to incoming emails) typically show payback within a few weeks. More ambitious projects (multi-task agents, full ERP integration) require a horizon of several months to measure real impact.

  • Document processing (invoices, contracts, forms): substantial reduction in data entry time and significant decrease in manual errors.
  • Automated customer support: a large share of routine tickets can be handled without human intervention on the most frequent categories.
  • Reporting and steering: meaningful savings on weekly analytical work per manager.
  • Coordination and workflow monitoring: notable reduction in manual follow-ups and missed process steps.
  • Key indicator to measure: number of hours freed per employee per week, cost per transaction before/after.

Your automation project in four weeks

01

Weeks 1-2: Diagnostic and mapping

Interviews with your operational managers to identify high-volume repetitive processes, assess time consumed, and evaluate technical feasibility. Deliverable: a prioritized opportunity map with estimated ROI.

02

Weeks 3-4: Working prototype

Development of a first agent or workflow for the priority use case, tested on your real data. Your field teams validate the behavior before any production deployment.

03

Weeks 5-8: Deployment and integration

Connection to existing systems (ERP, CRM, messaging, internal databases), go-live, end-user training, and operational documentation.

04

Monitoring and optimization

Automation performance dashboard, model adjustments based on field feedback, and gradual extension to other processes according to your priorities.

Kleap Enterprise vs local AI agencies vs SaaS tools

Three categories of solutions coexist in the Swiss market. Each has its strengths and limitations depending on your situation.

CriterionKleap EnterpriseLocal AI agencyAmerican SaaS tool
Data hostingEU (Hetzner Germany, ISO 27001)Variable by providerUSA or non-sovereign public cloud
nLPD complianceBuilt in by designDepends on provider competenceOften the client's responsibility
Business customizationHigh: portals, agents, workflowsHigh but at high costLimited to product features
AI models usedOpen source deployed in the EUOften OpenAI/Anthropic APIsUS proprietary models
ERP/CRM integrationYes, custom connectorsYes, quoted individuallyStandard connectors only
Team trainingIncluded in every projectAvailable as a paid optionSelf-service documentation
Contractual commitmentPartner agency (Lionscreative)Provider contractCancellable subscription

Sovereignty

Your data stays in Europe

Automating does not mean sending your data anywhere. We keep control.

European hosting

Infrastructure in Europe (Hetzner), no US cloud.

Open-source models

Open-source models on European infrastructure, your data is not used to train a model.

Plugged into your tools

We connect to your existing stack rather than forcing a new tool on you.

Swiss context

French-speaking Switzerland: Genève, Lausanne, Vaud, Valais, Fribourg, Neuchâtel, Jura (full coverage)
German-speaking Switzerland: Zurich, Bern, Basel, St. Gallen, covered by our partner network
Swiss legal framework: nLPD (in force since September 2023), EU AI Act (progressively applicable from 2025 for businesses serving EU clients)
Market context: a growing share of Swiss businesses use some form of AI in 2026, but many SMEs do not yet have a structured AI strategy
Academic excellence: Switzerland has world-leading research institutions (ETH Zurich, EPFL) internationally recognized for innovation, while enterprise adoption remains uneven by company size
Federal level: public programs supporting the digital transformation of SMEs exist in Switzerland, notably via federal bodies dedicated to training and research
Language and cultural context: support available in French, German, and English; sensitivity to the discretion and compliance culture typical of Swiss businesses is built into our approach

Frequently asked questions

Does my business data stay in Switzerland or Europe?

All of Kleap's infrastructure is hosted with Hetzner, a German ISO 27001 certified operator, in data centers located in the European Union. Your data never transits through US servers. The AI models that process your data run on this same infrastructure, not on third-party APIs such as OpenAI or Azure OpenAI.

Will AI automation eliminate roles in my company?

Experience from deployments in French-speaking Switzerland shows that automation frees up hours spent on repetitive, low-value tasks (data entry, sorting, follow-ups, reports) and allows employees to focus on analytical, relational, and decision-making activities. In the vast majority of cases, roles are not eliminated but redirected. Our support includes training and change management to ease this transition.

Do you need an internal IT department to get started?

No. Our three options are designed precisely to adapt to different levels of maturity. If you have no technical resource, the Lionscreative agency handles the entire project. If you have an internal developer, the Kleap Enterprise self-serve option gives you the tools to build and maintain everything in-house.

How long does it take to see the first results?

For standard use cases (document extraction, email automation, support chatbot), a working prototype is delivered in 2 to 4 weeks. Full production deployment with team training typically happens between weeks 5 and 8. More complex projects (multi-task agents, ERP integration) require a horizon of several months.

Which processes should be automated first?

The best candidates are tasks that combine: high volume (several dozen occurrences per week), clear or semi-structured rules, and data available in digital format. In concrete terms: invoice processing, responding to incoming emails, report generation, lead qualification, order tracking, document summarization, HR request management.

How does Kleap connect to my existing tools?

We develop custom connectors for the majority of systems used by Swiss SMEs: ERP (SAP Business One, Abacus, Sage, Microsoft Dynamics), CRM (Salesforce, HubSpot, Pipedrive), messaging (Outlook, Gmail, Teams), storage (SharePoint, Google Drive), as well as your proprietary databases and internal APIs.

Does the EU AI Act apply to my Swiss business?

If your business serves clients or partners in the European Union, yes: the EU AI Act applies to effects produced on EU territory, regardless of where the provider is located. High-risk AI systems (HR decisions, credit scoring, healthcare systems) require documentation, audit, and explicit human oversight. Kleap incorporates these requirements into the architecture of every deployment.

What is the difference between a chatbot and an AI agent?

A chatbot answers questions according to predefined scenarios. An AI agent can make decisions, trigger actions in your systems (create a CRM entry, send an email, update an order status), coordinate multiple sub-tasks, and adapt to unanticipated situations. Kleap deploys AI agents that can act, not just respond.

How does the nLPD affect our automation project?

The Federal Act on Data Protection requires that any automated processing of personal data be grounded in a legal basis, documented, and secured. The right to erasure and algorithmic transparency are enforceable. Kleap designs its deployments to be compliant by default: activity logs, anonymization of test data, and processing documentation.

Can we start small and expand gradually?

That is precisely the approach we recommend. We identify a high-ROI priority use case, deploy, measure, and then expand. This pilot-based approach reduces risk, encourages internal adoption, and makes it possible to demonstrate value before committing a larger budget.

Which task would you like to automate?

Tell us your most time-consuming process. We tell you what AI can do with it.

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AI Automation in Switzerland | Automate your processes with AI