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AI for Swiss SMEs

Practical AI for your business.

From customer assistants and document processing to private company knowledge systems and workflow automation, Arklens helps you introduce AI where it creates real value.

Choose Swiss-hosted, European, global or hybrid AI depending on your needs.

Find an AI opportunity Talk to Arklens
  • Swiss-hosted option
  • European
  • Global
  • Hybrid
Illustrative example
01

Use cases

Where AI can help

Practical uses that save time every week. AI that fits your business — and your data requirements.

  • AI assistants

    Assistants that answer from your own information, not from guesswork.

    • Customer FAQ assistant
    • Internal employee assistant
    • HR assistant
    • Technical support assistant
    • Product specialist
    • Sales assistant

  • Company knowledge

    Ask questions about your company instead of searching through folders.

    • Policies
    • Manuals
    • Product documentation
    • Standard procedures (SOPs)
    • Supplier information
    • Contracts
    • Internal procedures
    • Technical documentation

  • Document AI

    Turn incoming documents into structured, usable information.

    • Extract invoice details
    • Compare quotations
    • Summarise contracts
    • Classify documents
    • Analyse incoming PDFs
    • Extract order information
    • Process forms
    • Turn unstructured documents into structured data

  • Email & communication

    Less time sorting, more time replying well.

    • Classify incoming emails
    • Draft replies
    • Summarise long threads
    • Route enquiries
    • Prepare follow-up actions
    • Multilingual communication
    • Draft proposals
    • Meeting summaries

  • Sales & customer service

    Faster, better-prepared responses to customers.

    • Qualify enquiries
    • Prepare account summaries
    • Draft quotations
    • CRM summaries
    • Follow-up suggestions
    • Customer support assistants
    • Multilingual website assistants
    • Ticket classification

  • Workflow AI

    The real value often comes when AI is connected to your workflow, so information can move through the workflow without copying and pasting. Your team still reviews the result.

    See two examples
Workflow example From enquiry to reviewed reply
  1. Customer enquiry Website form or email
  2. AI understands the request Topic, urgency, language
  3. Information extracted Contact, product, dates
  4. CRM updated Record created or updated
  5. Reply drafted Using your templates and prices
  6. Employee reviews Edits, approves, sends

AI prepares. Your team decides.

Workflow example Comparing supplier quotations
  1. Supplier quotation PDF or email
  2. AI extracts pricing Items, quantities, terms
  3. Quotations compared Side by side
  4. Differences flagged Price, delivery, conditions
  5. Summary prepared Ready for your decision

Hours of checking become a short review.

02

Private company knowledge

Your business already has knowledge. AI can make it easier to use.

Arklens can connect approved business information so your employees can ask questions in natural language and get answers that point back to the source.

  • Documents
  • PDFs
  • Manuals
  • Websites
  • CRM information
  • Cloud files
  • Knowledge bases
  • Product catalogues
  • You choose which information is connected.
  • Answers show where they come from, so they can be checked.
  • Access can reflect your team’s roles and permissions.

Connecting your information to an assistant is not the same as training a public AI model. We choose services and settings with you so your data is used to answer your questions.

Example From your documents to a checked answer
  1. Approved sources Only what you select
  2. Private company knowledge Organised for search
  3. Employee asks In plain language
  4. Answer with source Ready to check

From simple assistants to private company AI.

03

Where your AI runs

Swiss, European, global or hybrid AI

We choose the model around the problem — not the problem around the model. Each option has different strengths, and many businesses combine them.

  • Swiss / sovereignty-focused

    When control over where data is processed matters most.

    Best when

    • Swiss data residency matters
    • Confidential information is involved
    • Management wants stronger control over where data is processed
    • You want less dependence on overseas AI providers

    Possible setup

    • Swiss infrastructure
    • + a suitable AI model
    • + your private company data
    • + controlled access

    A Swiss model alone does not make a system sovereign. It depends on the whole setup.

  • European AI

    For organisations that prefer European infrastructure or jurisdiction.

    Best when

    • European hosting is preferred
    • European jurisdiction matters to you or your clients
    • A balance of capability and control is needed

  • Global AI

    When you need the most capable models available.

    Best when

    • You need the strongest available models
    • Advanced reasoning
    • Multimodal input (text, images, documents)
    • Coding and agents
    • Rapid access to new capabilities

    Arklens may work with leading global AI providers, selected according to the needs of each project.

  • Hybrid AI

    A practical mix.

    Sensitive work stays on Swiss or private infrastructure, while general tasks use leading global models.

    Best when

    • Some information is confidential and some is not
    • You want strong capability without moving everything abroad

Arklens is model-agnostic. We do not default to one provider; we compare current options for each project, because models and offerings change quickly.

04

Data sovereignty

What data sovereignty really means

Sovereignty is not only about where an AI model was created. It depends on the whole architecture: every layer your information passes through.

A Swiss model running through foreign infrastructure may not provide the level of sovereignty you expect.

  1. Model

    Which model, and who operates it?

  2. Hosting

    Where does it run?

  3. Business data

    Where are your documents stored?

  4. Embeddings / search indexes

    Where is the searchable copy kept?

  5. Logs

    What is recorded, and where?

  6. Backups

    Where are copies held?

  7. APIs

    Which services are called along the way?

  8. Jurisdiction

    Which laws apply to each provider?

Arklens helps you choose an architecture appropriate to your requirements. This is not legal advice; where needed, involve your legal or data protection adviser.

05

Languages

Multilingual AI for Switzerland

Your customers and teams work in different languages. AI can help bridge those language gaps in everyday work.

  • English
  • Français
  • Deutsch
  • Italiano

AI translation is helpful but not perfect. Important texts should still be reviewed by someone who knows the language.

  1. Multilingual customer support

    Answer customers in their own language using the same source information.

  2. Ask across languages

    Ask in one language about a document written in another.

  3. Translate and draft

    Prepare business communication in the language your recipient prefers.

  4. Multilingual knowledge assistants

    One assistant for teams working across different language regions.

06

Connected systems

AI works best when it’s connected

AI becomes more useful when it can interact, under your control, with the tools your business already uses. That is why we don’t just sell chatbots.

  1. 01

    Website

    Your digital foundation

  2. 02

    Digital tools

    Forms, bookings, payments

  3. 03

    Connected systems

    Tools sharing information

  4. 04

    Automation

    Repetitive steps handled

  5. 05

    AI

    Understanding, drafting, summarising

Connects with

  • Email
  • CRM
  • Forms
  • Calendars
  • Document storage
  • Business systems
  • Internal databases

We connect AI only where it is useful and give it only the access it needs — no more.

07

Process

How Arklens starts

  1. Step 1: Identify one useful business problem

    A task that takes up time every week.

  2. Step 2: Understand the data and workflow

    What information is involved, and who uses it.

  3. Step 3: Choose the right AI approach

    Model, hosting and tools that fit the problem.

  4. Step 4: Build a small practical pilot

    Real data, limited scope, quick to test.

  5. Step 5: Measure whether it is useful

    Time saved, quality, team feedback.

Start small. Prove the value. Expand only when it makes sense.

Start here

Where could AI help your business?

You don’t need an AI strategy. Start with one useful problem.

Find an AI opportunity Start with your website
  • No commitment
  • Scope and price agreed before paid work