Strategic AI governance · Switzerland

Not every AI challenge needs a new tool. Every one needs a good decision.

We help leadership teams decide what to adopt, what to build and what to leave alone — and adjust as the technology evolves. Our judgement comes from experience: we have been building AI systems since 2019.
Discuss your AI priorities Our approach

No need to have your priorities figured out. That's what the conversation is for.

Some of the organizations we have worked with

The real question

Most companies already use AI. Few have decided how.

  • Employees use AI assistants on their own initiative.
  • Departments run pilots that never connect.
  • Vendors pitch a new tool every month.
  • And it's hard to say what any of it is actually worth.
81% see AI's potential to solve complex problems
16% have deployed AI at scale
36% don't yet measure the value of their AI projects
Survey of more than 100 Swiss organizations. Swiss Data & AI Observatory 2026 — Colombus Consulting, Oracle, HEG Genève. Read the study

The gap is rarely closed by another tool. It takes clear priorities, clear ownership and an honest view of what's working.

Strategic AI governance

A practical way to make AI decisions — not another layer of process.

For us, AI governance comes down to a few things done well: knowing which opportunities matter, who owns each decision, which risks are acceptable, and how you'll know it's paying off. It should be light enough to use every month, and flexible enough to change when the technology does.

  1. 01

    Judgement before technology

    We help you decide what creates value, what to prioritize and what to drop. Sometimes the right answer is an off-the-shelf tool. Sometimes it's a custom build. Sometimes it's to wait.

  2. 02

    Advice from people who build

    We have designed and shipped AI systems since 2019. We know what the technology can do, where it falls short, and what it takes to make it work in production.

  3. 03

    Decisions that can evolve

    AI changes every few months. We help you set a clear direction without locking you into rigid plans or technology choices that age badly.

No thick reports. No heavy process. No tools you don't need.

How we work

Start with clarity. Stay on course. Build only what's worth building.

Start here

AI Strategy & Governance Review

A focused, time-boxed engagement to see where you stand and decide what comes next:

  • How AI is already used across the company
  • Which opportunities to pursue, test or drop
  • The risks that matter, and how to handle them
  • Who decides what, and how progress is measured

You come away with clear priorities and first working rules — not a report for the drawer.

Ongoing

AI Strategic Advisory

Light, regular support for leadership as things move: revisiting priorities, assessing new tools and vendor offers, adjusting the rules and following results. Sized to what you need, with no heavy consulting structure.

When it makes sense

AI Solutions & Implementation

When something is worth building, we design, adapt or integrate it — whether that's a commercial product or a custom solution. And when it isn't, we'll say so.

Not sure where to start? That's the first conversation. Discuss your AI priorities

Experience

Our advice comes from building.

We have worked with generative AI since 2019, and were already integrating large language models into production systems before ChatGPT went mainstream. That's what lets us tell a promising idea from an expensive distraction.

  1. 01 Medtech Making sense of customer feedback at scale Feedback from CRM, support tickets and surveys classified into 250 topics with sentiment, and delivered to a Power BI dashboard. From proof of concept to production in eight weeks. Read the project
  2. 02 Trading Supplier offers, structured automatically Offers arriving as emails, PDFs and images are parsed into one database, so the sales team spends its time selling instead of decoding files. Read the project
  3. 03 Customer service Answers grounded in company knowledge A multilingual assistant that answers customer questions from the company's own documents and CRM, built on a retrieval engine developed in-house. Read the project
  4. 04 Public policy Regulation and incentives, mapped Official policy texts collected, classified and linked in a knowledge graph to compare incentives across jurisdictions. Read the project

Building these taught us what makes AI worth it: a real problem, usable data, and someone who owns the result. That's what we look for first.

See all projects

Let's look at your AI priorities.

Tell us where you are: what's already in use, what's being considered, what's unclear. We'll give you an honest first view — including whether you need outside help at all.

Discuss your AI priorities

You'll speak directly with the people who would do the work.

contact@arscognito.io +41 76 687 14 07 Orbe, Switzerland