# Waldemar Szemat — AI Solutions Architect · Fractional Head of AI

Most GenAI pilots never make it to production. Getting them there and keeping them running at scale is what I do.

shipping GenAI to production

## About me

As CTO of a startup in a regulated industry, I built a product from zero with generative AI at its core and scaled it to thousands of users. The hard part was never the model. It was everything around it: the integrations, day-to-day operations, and an architecture that stayed stable at scale.

Today I work as a Fractional Head of AI and AI Solutions Architect: I run scoped POC-to-Production Sprints for teams whose GenAI project is stuck. I come in, find why it isn't shipping (it's rarely the model), and get it there, with spec-driven development, multi-agent systems, RAG, evals and guardrails. Built for production, not demos. Multi-stack and vendor-agnostic: Azure, Anthropic, LangGraph, Semantic Kernel, OpenAI, plus AWS and GCP.

I work both sides: the commercial (tech consulting, team management, client-facing) and the technical (engineering, architecture, hands-on in the code). Full-stack engineer, technical lead, then CTO, with experience across different sectors. If you have a GenAI project that needs to actually ship, let's talk.

## Track record

### Ex-CTO AI in regulated industry
Built a generative-AI product from zero and scaled it to thousands of users. Stable at scale.

### GenAI in production · Agents
AI agents, RAG, evals, guardrails. Multi-agent systems built to ship, not to demo.

### Spec-driven development
Clear specs first, then build. AI does the mechanical work; humans make the high-order calls.

### POC-to-Production Sprints
I find why your GenAI pilot isn't shipping (it's rarely the model) and get it there, scoped.

### Multi-stack · vendor-agnostic
Azure, Anthropic, LangGraph, Semantic Kernel, OpenAI, AWS, GCP. I pick the stack that fits the problem.

## How I work

The pieces I use to get GenAI into production, and how they connect.

### GenAI in production · Agents
AI agents, RAG, evals, guardrails. Built to ship, not to demo.

### AI strategy
What to build, what not to, and how: business vision connected to technical execution.

### Fractional Head of AI
I run the AI function on a fractional basis: roadmap, team, high-order decisions.

### Spec-driven development
Clear specs first, then build. AI does the mechanical work; humans decide.

### Multi-stack · cloud
Azure, AWS, GCP, and Anthropic, LangGraph, Semantic Kernel, OpenAI. Vendor-agnostic.

### Regulated industries
AI where stakes and sensitive data matter: privacy, guardrails and traceability.

## Contact

Have a GenAI project that needs to actually ship? Let's talk.

waldemar@szemat.pro

## Explore the site

- [POC-to-Production Sprint](https://szemat.pro/en/sprint/): A scoped Sprint to get your GenAI pilot into production: phased process, clear deliverables and code that is yours. Built to ship, not to demo.
- [AI Discovery Sprint](https://szemat.pro/en/discovery/): A scoped discovery to find where AI creates real value and validate it is viable before building. It ends in an actionable production blueprint.
- [Fractional Head of AI](https://szemat.pro/en/fractional/): Fractional AI leadership: I set the AI strategy, roadmap and delivery standards for teams shipping production GenAI, without a full-time executive hire.
- [Evidence](https://szemat.pro/en/evidence/): Systems, cases and write-ups with verifiable proof of how I take AI to production in regulated industries.
- [Frequently asked questions](https://szemat.pro/en/faq/): FAQ on the POC-to-Production Sprint, AI Discovery Sprint and Fractional Head of AI: where to start, code and IP ownership, NDAs, scope and pricing.