We advise and build...

Copilot isn't the only choice. And rarely the best one.

Most companies pick Microsoft Copilot because it's the easiest option. But easiest is rarely best-in-class. Claude overtook ChatGPT in enterprise adoption in spring 2026 and sets the bar on both models and interface with Claude Cowork and Claude Code. It's plug and play, so you give up some of what you could build yourselves, but as an organisation-wide platform it's one of the strongest choices you can make.

What we cover

• Understand: your organisation, data, workflows, and governance requirements
• Implement: Claude Cowork and Claude Code, connected to how you actually work
• GitHub: architecture and governance, plus skills and plugins built for you
• Enablement: so people use it correctly at every level

We have certified architects who have rolled out Claude, Copilot, and Mistral across many organisations, and who can put Claude Cowork and Claude Code into production the way only a handful of people in Denmark can. If your data needs to stay in the EU, Claude can be hosted in the EU on Azure.

Tools don't move anything. People do.

AI only creates value once people change how they work, not the moment a tool gets installed. We raise the whole organisation to the level of AI maturity leadership actually wants, from the executive floor to the front line, practical and down to earth.

What we cover

• Leadership: leading the change and turning AI into bottom-line results, not just rolling out a tool
• Super users and AI champions: today's answer to POs and PMs, who spot opportunities and bring their colleagues along
• Employees: real AI literacy and confident, practical habits, not just prompts
• IT and development: Claude Code in practice, from setup, skills, and architecture to the GitHub discipline that holds up when commits pour in

Most IT teams believe they have Claude Code under control long before they discover what a hundred commits a day per developer does to a codebase and a governance model.

One model is rarely the answer.

The right model depends on the task. The biggest model is rarely necessary for everything, and the discipline of optimising cost matters, because no one can predict how token prices and pricing strategies will move. Sensitive data points to one trade-off between performance and security; coding tasks may point to another.

What we cover

• Task requirements: what the task actually needs, not what's biggest
• Cost: the discipline of not using the most expensive model for everything
• Confidentiality and security: the right trade-off for sensitive data
• Code and specialist tasks: a proprietary model, when that's the smartest choice

That way, every model choice is one you can make again, not a lock-in.

Compliance that actually works, without paralysing the business.

A 40-page policy nobody reads changes nothing. Governance has to live in the tools and in everyday work, not gathering dust in a drawer. And compliance means facing the real implications of the rules, for example that a provider outside the EU can be forced to hand over data.

What we cover

• Access and rights: who can do what, and who is allowed to
• Overview: from pilot to production, and who has access to what
• Operationalisation: the rules built into the tools, not into a document
• Compliance and EU: data processing agreements and the places where EU hosting is a requirement

You end up with rules people can actually follow, and an overview you can trust.

Renting a ready-made platform looks like the easy choice. The lock-in is what costs you.

A subscription platform promises that everything just works. But you tie yourself to someone else's roadmap, a pricing structure you don't yet know, and a way of working you didn't choose yourselves. You're also renting the knowledge you should be building in-house. Our approach makes building your own just as simple as renting one, and you keep the keys.

What we cover

• Models: best-in-class, open source, or EU-hosted, chosen for the task
• Platform and automation: how agents and apps are built and run
• Access and interface: how your people interact with the solutions
• Hosting: self-managed, with help, or hybrid
• Data: structure, flow, and the right tools
• Governance: control tailored to you, not to the vendor
• Monitoring and audit: what you need to be able to see and control

You can have a prototype of your own stack for a low price, and it scales where a rented platform gets more expensive with every new user. After three years, you're left with an asset you can keep building on, not three years of rent with nothing to show for it.