AI Engineering and technology consulting for companies – experience you can verify
Most small and medium-sized enterprises do not need several separate providers: one IT firm, a second marketing agency, and a third team for "AI implementation". They need a single partner who designs and integrates AI systems, while understanding the rest of the technology stack and the business well enough to take responsibility for it. In this work I combine three roles: AI Engineer, IT strategist, and marketing technology advisor.
Below you will find the three main areas of my experience. Each solves a different problem, but they all share the same approach: decisions based on hard data, measurable results, and full cost transparency. You can use them separately or combine them into a coherent technological strategy.
AI integration and process automation (MCP, RAG) – AI Engineering in practice
As an AI Engineer and AI Integrator, I design and deploy systems that actually work in production: agentic integrations built on the MCP protocol, custom AI gateways (OpenClaw AI Gateway), and RAG knowledge bases wired into company documents. In practice, that means automating lead management, customer support, and office work – with data security and measurable results as the priority.
What matters to me is a concrete, measurable outcome – not a trendy "AI company" label, but processes that cost less and run faster.
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Fractional CTO – technology strategy and oversight on demand
I bring the same engineering rigor from AI integration to the entire IT architecture. If your company is making more and more technological decisions but lacks someone to take responsibility for them, you need a Chief Technology Officer – not necessarily full-time. In the Fractional CTO model, I supervise developers and providers, design system architecture, plan implementations, and translate technology into business value.
This is the foundation: from a CTO's perspective, it is clear which investments are paying off and which are worth revisiting.
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SEO and Google Ads agency audit – marketing expense control
Before you invest in more marketing campaigns, it is worth verifying whether your current budget is producing real results. I conduct an independent audit of SEO and Google Ads agencies: verifying real results, analytics configuration, and reporting quality. I do not run campaigns myself, which lets me assess the results fully objectively.
The result is a clear picture of what you are actually paying for and where part of that budget could be recovered.
More about SEO & Google Ads agency audits
Why combine these services under one partner?
This cooperation brings the most value when these areas work together. AI integration automates processes that previously consumed your team's time; the Fractional CTO role lets you deploy and oversee those systems within the rest of your IT architecture; and the marketing audit shows which agency spend is paying off and which is worth revisiting. Instead of coordinating multiple providers, you have one person responsible for a cohesive outcome.
Cooperation is based on transparent B2B terms and a flexible billing model – project-based, retainer, or ad-hoc – tailored to the scale of your challenges.
Not sure which service to start with?
Book a free consultation – together we will determine what will yield the greatest impact for your company.
Book a free consultation