| AI agents for your team.
You know you need AI. Together, we'll find where to start, what makes the most sense for your business, and launch the first useful solution.
AI only makes sense when it solves a real problem in your business.
The first step is unclear
There are many options. Before choosing a tool, we need to name the business problem worth solving first.
Value must be measurable
AI agents cannot become another experiment without clear results. Up front, we define how much time they should save, which costs they should reduce, or exactly what value they should create for customers.
Adoption must be safe
Data access, rules, permissions, and gradual rollout matter as much as the tool itself. Your team needs an AI solution they understand and can use safely.
See the public Agent Threat AtlasCame from Agent Threat Atlas?
Turn incident patterns into controls before your agents ship.
I help teams map agent workflows, data access, tool permissions, and failure modes into practical guardrails they can own in production.
How I Can Help
AI Consulting and Strategy
If you are not sure where to start, I will help map opportunities, choose the right first project, and decide how we will measure success.
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AI Solution Implementation
If you already have a clear problem, I will design and build a practical AI solution that fits your processes, tools, and security rules.
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AI Workshops and Adoption
If AI is going to work long term, your team needs to use it in everyday work. I help people find concrete use cases, verify outputs, and build safe work habits.
Learn moreAI Consulting and Strategy
Find out which AI project is worth doing before you spend time or money.
I evaluate your current processes, identify the highest-impact AI opportunities, and prepare a concrete adoption plan. You get clarity on what is worth automating, what should wait, and how we will measure value.
- Process and workflow audit
- AI opportunity mapping
- Prioritization by ROI and feasibility
- Adoption plan with success metrics
AI Solution Implementation
Automate the first useful workflow and prove it in the real world.
I design and implement practical AI automations, agents, and integrations around a clear business problem. The goal is a safe, measurable solution your team actually uses.
- AI agent prototypes and production implementations
- Workflow automation and integrations
- RAG and knowledge workflows where they make sense
- Safe deployment, evaluations, and monitoring
AI Workshops and Adoption
Turn leadership enthusiasm into everyday AI use.
I show the team where AI fits their real tasks, how to verify outputs, and where the boundaries of safe use are. The goal is not a one-off demo, but new work habits that stick.
- Workshops built around your team's real tasks
- Practical AI use for writing, analysis, and decision-making
- Output review, model limits, and the right level of trust
- Rules for safe use of data and tools
How We Work Together
Introductory Call
30 minutes, no commitment. We clarify where you are, what you want to improve, and whether AI is the right next step.
First-Step Plan
I propose a concrete first use case, a success metric, safety rules, and a realistic rollout path.
Execution
We build the approved workflow, test it on real tasks, train the first users, and measure its impact.
Handoff
Once the solution works, your team takes it over. If you want to keep going, long-term support remains available.
Most common first step
AI Opportunity and Risk Audit
In 1–2 weeks we map where AI makes sense in your company, which workflow to tackle first, what risks need controls, and how success will be measured.
Book a Free Consultation
Matej Lukášik
Agentic AI Consultant
I am an agentic AI consultant with 10 years of software engineering experience. I help small and medium-sized businesses find specific places where AI can save time, streamline teamwork, and create measurable value.
I enter projects practically: first I understand the business problems, processes, and data sources, then I choose the right tools. Together we design the first usable workflow, set success metrics, and define safe deployment rules.
My solutions build on experience with LLM systems, RAG, evaluations, AI models, automations, and AI agents. My goal is to deliver a solution leadership understands, the team can use, and the company can keep developing independently.
Frequently Asked Questions
We don't know where to start with AI. Is it worth getting in touch?
Yes. This is the most common starting point. On the first call we look at your processes, data, and the places where the team loses time. The goal is a clear first use case, not a list of tools.
How long does the first deployment take?
Most first projects move from kickoff to a working workflow in 2–6 weeks. A simple automation can be live in days. More complex systems take longer, but you should see progress every week.
How do we know whether AI is creating real value?
Before building, we define the metric: time saved, shorter cycle time, fewer errors, better quality, or faster customer response. If value cannot be measured, we narrow the project or postpone it.
How do you handle data security?
We start with data, permissions, and deployment boundaries. The first version should use only the minimum necessary access, clear rules for sensitive data, and human review where the risk is higher. With security, slower and steadier is better.
Open Agent Threat AtlasDo we need our own technical team?
Not necessarily. I can handle the technical side. Someone technical on your team helps with long-term maintenance and ownership, but the first project can start without an internal developer.
What tools do you work with?
Tools depend on the problem, data, and security requirements. For workflow automation I use n8n, CrewAI, or LangChain/LangGraph. For models I choose frontier models from OpenAI and Anthropic, or open models such as Mistral and Llama. For commercial agentic tools, Codex and Claude Code can make sense. If you need more control or self-hosting, we can also work with open-source agents such as OpenClaw or Hermes Agent. The goal is not to use as many tools as possible, but to choose a stack that is safe, maintainable, and creates measurable value.
What happens after handoff?
Once the workflow works, your team gets the operating rules, training, and enough context to use it safely. The goal is capability, not dependency. If useful, we can keep improving the workflow together.
Ready to find your first useful AI project?
Most clients start with a 30-minute consultation. No commitment, no unnecessary hype.