I help product teams and founders clean up technology when the product starts growing faster than its architecture.

Sometimes it is a backend that was built quickly for an MVP. Sometimes it is an AI feature added to the product without clear boundaries. Sometimes it is the decision whether to keep patching, refactor, or rebuild part of the system.

The point is simple: technology should help the product grow, not slow down every next decision.

Examples

Where this usually shows up

Product development is getting slower

Problem
New features take longer and longer to build.
IT/AI help
Architecture review, module boundaries, dependency analysis, technical debt assessment.
Result
A clear simplification plan and faster product development.

The MVP is starting to hurt

Problem
Fast early product decisions are now blocking growth.
IT/AI help
Decide what to keep, what to refactor, and what to extract.
Result
Less chaos without rewriting everything unnecessarily.

AI has been bolted onto the product

Problem
The AI feature works in a demo, but there is no clear architecture, evaluation, or monitoring.
IT/AI help
Design boundaries, data flow, quality checks, and fallbacks.
Result
AI becomes part of the product, not a risky add-on.

Customers ask for things the system cannot easily support

Problem
The current data model or architecture does not fit new requirements.
IT/AI help
Analyze the direction of product growth and technical choices.
Result
Less workaround-driven development and more deliberate roadmaps.
Applications

Product ideas that need technical shape

AI features inside SaaS products

Assistants, answer generation, document understanding, recommendations, and workflows that need clear product boundaries before production.

Custom CRM or back-office tools

Focused systems for sales, operations, or administration when a generic SaaS product forces too many workarounds.

Internal product extensions

Calculators, configurators, booking flows, operational panels, and admin tools that support the core product without becoming a second product.

Prototype to production

Turning a promising demo into a maintainable feature with data flow, permissions, failure handling, and a realistic delivery plan.

If any of these examples sound familiar, let’s have a no-pressure conversation.

Tell me what the situation looks like on your side. I’ll tell you honestly whether I see a sensible direction and where I would start.