Service
AI enablement for dev teams
Consulting: your team builds with AI itself.
Your team has AI tools, but productivity barely rises. The reason: AI is added on top as a tool, while processes, reviews and roles stay as they are. AI-native development means rethinking the way you work. We show you how, because we work this way ourselves every day.
Sound familiar?
- AI tools are in place, the effect isn't there.
- A few power users, but no shared standard in the team.
- Unclear what happens to code quality, security and data.
What you get
- An honest picture of where your development stands
- A workflow that fits your codebase
- Rules for quality, security and governance
- A team that understands and uses AI itself
How we work
- 1
Engineering Check
Inventory of tools, workflow, codebase and team. Outcome: a status picture and clear priorities.
- 2
Workshops
Hands-on with your own codebase: agents, context, reviews and testing with AI.
- 3
Guided rollout
A pilot team works AI-native, we support, measure and adjust.
- 4
Embed
Rollout to the whole team. Processes, roles and leadership adapt so it sticks.
ForCTOs, heads of engineering, software companiesFormatsWorkshop, consulting, guided rolloutOutcomeStatus picture, workflow, enabled teamModelCheck and workshops with a fixed frame
Getting started
AI-native Engineering Check
In 30 minutes we look at where your team stands and whether a check is the right next step.
Frequently asked questions
Which tools do you recommend?
We are independent and recommend what fits your codebase, your stack and your policies.
Will we need you permanently afterwards?
No. The goal is for your team to be able to do it themselves. If you need extra capacity, there are our Forward Deployed Engineers.
What about data protection and code security?
That's part of every rollout: which data may go where, how code is reviewed, what the EU AI Act requires.