AI made coding cheap. Building the right thing is now the hard part.

I help tech leaders adopt AI across the SDLC the structured way: model first, then let AI deliver. Practical workshops from an architect who ships, not a coach with slides.

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20+ years shipping with teams Forward Deployed Architect · Tech Lead 4 books, 10,000+ readers Creator of the MOSY method

AI didn't remove the bottleneck. It removed the brake.

Writing code used to be slow, and that slowness was a safety net: you'd build a little, see it, and course-correct. AI removed it. The risk isn't bad code, it's fast code nobody needed. The only checkpoint left is the model: a clear, business-aligned picture of what's worth building. Get it right and AI compounds your delivery; skip it and AI compounds your waste.

See the MOSY method

My method, in three workshops

Model the system, then let AI build it, across your whole SDLC.

For tech leaders putting AI to work across their SDLC, not just inside the IDE. Self-serve, with an invoice. Budgetable from your training spend.

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  1. Align: AI-Ready System Modeling

    You leave with a business-aligned model of your system that product and engineering both trust, the foundation AI needs to build the right thing, not just build fast.

  2. Design: From Model to Architecture

    You leave with an architecture mapped straight from that model: components, boundaries, and the service decisions made, whether you start from scratch or refactor.

  3. Build: AI-Assisted Delivery

    You leave with a working delivery loop: functional tickets your AI agents develop, you review, and ship, with guardrails that keep them on track.

Client Success Stories

Sympower, Energy Sector ~50 employees

How the team starts out

A startup entering the scale-up phase, but unable to scale its platform — and therefore its teams — due to a monolithic architecture.

  • The infrastructure was replicated per client, with no support for multi-tenancy.
  • Although there were many plans to evolve towards a more modular platform, they remained stuck — never making it into the roadmap due to lack of allocated resources.

The result after working with Mosy

Implementation of a visual, actionable architecture workflow strengthened stakeholder communication and enabled team restructuring. Complex components were abstracted behind APIs, reducing cognitive load and enabling the organization to scale beyond 100 developers.

Core challenge

Transforming a monolithic, client-replicated architecture into a scalable platform with reusable components.

Key solutions

Domain-Driven Design, pragmatic extraction plans, Anti-Corruption Layer, Strangler Fig Pattern, and Software Architecture Facilitation.

Dutch Fintech startup funded by ING ~70 employees

How the team starts out

Improvised software architecture with decisions pulling in opposite directions. A hard-to-maintain monolithic integration layer caused team-collaboration issues. Lack of a clear technical vision to split B2C and B2B business strategies.

The result after working with Mosy

The legacy monolith was decomposed using a pragmatic approach, enabling parallel work. I applied Domain-Driven Design to place the B2C application as a client of the B2B platform, which allowed scaling the business.

Core challenge

Lack of technical vision and alignment across teams.

Key solutions

Architecture Community, B2B technical strategy, Microservices and Event-Driven architectures.

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Ready to make AI speed up the right work, not just more work?

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