Bespoke, at the pace of intent.
Rebuild your business AI‑native.
AI as the operating layer of your business – not a tool bolted onto it. We diagnose how the work runs today, design the AI‑native version, and build the system that runs it.
Example target operating model · Retail & Distribution
Zone · 01 Customer & Channels
Zone · 02 Operations
Zone · 03 Foundations
Each function maps to one of three levels of AI involvement – see the legend.
Consulting, design, and build for AI-native businesses.
A consulting and build studio for AI-native businesses. Headquartered in Switzerland; engagements worldwide.
We diagnose the operating model, design what replaces it, and build the agent-native system that runs it – from hardware to interface, in the environment of your choosing.
Building with AI, not just using it.
Most enterprises are using AI, not building with it – licensed tools, vendor APIs, third-party chatbots, each a layer between the company and the model doing the work. The agents are generic. The data leaves the perimeter. What gets sold as AI transformation is this, with a roadmap attached. HBS, Nov 2025.
AI-native is the other posture. The operating layer is your own; the agents are designed for the work you actually do; the model can sit inside your perimeter. No middleman between the work and the intelligence doing it. The substrate work is harder and slower from the outside – and the only kind that compounds.
The work.
The business that runs itself, supervised.
An operating layer that turns a function chart into a working fleet of agents. Roles, decision rights, handoffs, audit trails – explicit, visible, supervised by the people who own them. Work that was scattered across standing meetings and inboxes now lives on one surface.
Stylised view. Your real surface is built for your operating model.
The pricing engine SHALL apply competitor-aware adjustments to assortment SKUs
within CHF 50,000 daily impact without human approval. Above threshold:
hand off to the merchandising lead with a one-page rationale.
Stylised view. Your real pipeline runs on your repo, your reviewers, your gates.
Business intent. Specifications. Working code.
The pipeline begins with a requirement from the business and ends with code in production. Between those, an agentic loop reads, clarifies, designs, writes, reviews, tests, documents, and maintains – drawing on a deep understanding of the company. Agents do the work; humans set direction and weigh trade-offs.
Your model. Your data. Your premises.
A complete vertical inside your perimeter – hardware, open-weight model, your company knowledge as the grounding corpus, the tools the agents act through, the orchestration layer that coordinates the work. No vendor lock-in. No data that leaves the jurisdiction. Independent of OpenAI, Anthropic, anyone else.
The disciplines underneath.
Every product above draws on the same five disciplines – each one deep, and delivered bespoke.
Tell us what you’re working on.
A short note about what you are trying to do, what is stuck, and what success would look like.