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For operations, HR, supply chain, finance and customer service leaders

AI that gives your teams their time back

Arenema helps operations, HR, supply chain, finance and customer teams put AI to work on the tasks that slow them down. Your people keep the judgement, the relationships and the decisions. AI takes on the repetitive load.

  • Based in Switzerland
  • English, French, German
  • No large IT project to start
  • 4,768 h

    a year returned to teams in our five illustrative examples

  • 2–3 months

    to a first pilot with real users

  • 6–18 months

    of support, then a planned handover

Sound familiar?

  • Reports and records are still compiled by hand every week.
  • The same questions and emails are answered one by one.
  • Data is copied between systems, and exceptions are found too late.

Your teams know the work. We give them AI that takes on the repetitive part, so they can focus on what needs their judgement.

Our approach: human-centred, ethical, efficient

  • Human-centred

    AI prepares, people decide. We design every solution with the team that will use it, so it removes friction from their day instead of adding one more tool. The goal is more capacity for valuable work, not fewer people.

  • Ethical and compliant

    Clear rules on which data is used and where it is processed. Transparency for employees about what the AI does. Solutions designed with the Swiss Federal Act on Data Protection (nFADP) in mind, and the EU AI Act where it applies to you.

  • Business-efficient

    We start with two or three use cases that have a measurable result, agree the baseline with you, and measure it. What works is scaled. What doesn't is stopped early.

Choose your team

What it looks like in your team

Three typical use cases per business line, with one worked example. The figures are illustrative and show how the value is calculated. We build your own business case together in the discovery phase.

Typical use cases

  • Shift and weekly reports drafted automatically from your existing systems, ready for review.
  • Quality deviations and incident records pre-filled, with similar past cases and how they were resolved.
  • An assistant that answers questions on procedures and work instructions on the shop floor, in the operator's language.
Discuss this with us

Illustrative example

Weekly operations reporting

Situation
12 team leads each spend 4 hours a week compiling reports, handovers and quality records.
With AI
An agent gathers the data and drafts the report. The team lead reviews and completes it in 1.5 hours.
Calculation
2.5 h saved × 12 people × 44 weeks
  • Hours returned

    1,320h/year

  • Annual value

    CHF 92,400

    at CHF 70/h

  • Full-time equivalent

    ≈ 0.75

Freed time goes to coaching teams on the floor and continuous improvement.

Illustrative examples based on typical figures for Swiss SMEs and mid-sized companies. They are neither a commitment nor a guarantee: results depend on your processes, your data and how your teams adopt the solution. Full-time equivalent based on 1,760 working hours a year.

Estimate your own process

Pick one task your team repeats every week and adjust the figures.

A first estimate only. In the discovery phase we validate it against your real data.

  • Hours returned per year

    880 h

  • Annual value

    CHF 61,600

  • Full-time equivalent

    ≈ 0.50

Discuss your estimate

From first idea to your own team running it

Every engagement follows the same five stages and is planned from day one with a handover.

  1. 1

    Discover

    2–4 weeks

    Workshops with you and your team. We map where time goes, choose two or three use cases and agree how success will be measured.

  2. 2

    Set up

    4–8 weeks

    A secure environment, access to the right data, first governance rules and a pilot with real users.

  3. 3

    Build agents

    Iterative

    We develop AI assistants and agents and integrate them into the tools your teams already use: Microsoft 365, ERP, CRM, ticketing. Tested with the people who will use them.

  4. 4

    Support implementation

    6–18 months

    Rollout, adoption support, measurement against the baseline and new use cases added step by step.

  5. 5

    Hand over

    Planned end

    Documentation, trained internal champions and a clear operating model. Your team runs the solution, and we stay available if you need us.

Optional: Learning & Governance, with our partners

  • AI literacy training for employees and managers
  • AI policy and usage guidelines
  • Risk assessment and compliance support (nFADP, EU AI Act)

Available at every stage.

Why Arenema

  • Swiss and close to you

    Based in St-Cergue, between Geneva and Lausanne. We work in English, French and German.

  • Business first

    We talk about processes, KPIs and teams. Technology follows.

  • Change experience

    Large-scale agile transformation and team coaching in international groups.

  • Security and delivery discipline

    Experience with ISO 27001 and Cyber Resilience Act contexts, ITIL practice and project management.

  • A planned end point

    Every engagement is planned with a handover. You build your own capability, not a dependency.

Questions business leaders ask us

Will AI replace people in my team?

Our approach is built to support employees. We define the use cases with the team and decide together where the freed time goes: customers, quality, development, projects that have been waiting.

Do we need our CTO or a big IT project to start?

No. The initiative comes from your business line. We involve your IT team early for security, data access and integration, and we keep the scope small at the start.

Is our data safe?

We define with you which data the AI may use, where it is processed and who can see it. We favour enterprise-grade services with contractual data protection, hosted in Switzerland or the EU when your requirements call for it.

How quickly will we see results?

A first pilot usually runs with real users within two to three months of the start.

Which AI tools do you use?

We choose tools that fit your landscape, your security requirements and your budget, often building on what you already use, such as Microsoft 365.

What happens after the handover?

Your team owns the solution, with documentation and trained champions. Optional support and new use cases remain available if you want them.

Start with one process

A 30-minute conversation is enough to see whether AI can make a real difference to one of your team's processes. No preparation needed.

What happens next

  1. 1Write to us with the process you have in mind, or simply your team and role.
  2. 2We reply personally to set up a 30-minute call at a time that suits you.
  3. 3In the call, we look at one process together and tell you openly whether AI can make a real difference.

Write to us

Baptiste Heraly, CEO

bheraly@arenema.com