David Lehečka
AI Product & Automation Manager
Digital Transformation · AI Systems · Workflow Automation
I design and implement AI systems that connect data, processes, and decision-making into scalable and practical solutions.
Experience in digital transformation, AI system design, and workflow automation in real business environments.
About
I have over five years of experience in digital transformation and managing e-commerce initiatives with practical AI implementation.
I operate at the intersection of business and IT, combining product thinking, system architecture, and workflow automation to deliver real impact.
I specialize in designing and implementing AI systems (LLMs, RAG, agent-based approaches) and integrating them into existing processes and data flows.
Selected work
The entries below are illustrative. They describe a type of engagement rather than a named client, and the outcome carries no measured number. A real reference will appear here as a role and a company, and only with the consent of whoever it is about.
- Illustrative
Retail e-commerce across four markets
Design and rollout of AI support for order processing and catalogue upkeep.
Steps that used to rest on one person moved into a process with a traceable output.
- Illustrative
Mid-sized manufacturing company
A data layer over scattered sources and reporting for the leadership team.
Leadership decides on one number instead of three spreadsheets that contradicted each other.
- Illustrative
In-house digital transformation team
Agent-based tooling for routine research and decision briefs.
Research that took a full day is done within the hour and every claim points to a source.
How I work
I connect strategy, data, and technology to turn innovation into measurable business outcomes.
I design AI workflows and system architectures that integrate LLM technologies, automation tools, and integration layers.
My focus is practical implementation — from identifying opportunities to designing, deploying, and optimizing AI-driven processes.
The goal is long-term scalability and sustainable impact, not experimentation without results.
Writing
The entries below are illustrative — they show what this section will cover once the first piece is out. That is why no title links anywhere yet: the link lights up together with the finished text, not before.
- Unpublished
Agents in production: what breaks when the model decides alone
Where an agent-based approach survives day-to-day operation and where it needs a gate that stops it before the customer does.
- Unpublished
RAG or fine-tuning? Decide on the data, not on the trend
Three questions about the data that settle it before anyone touches the model. And the price each answer carries.
- Unpublished
Automation without cleaning up the process is just faster chaos
Why automation pays off only downstream of a process map, and what happens when that order gets reversed.
What I do
- Design
AI system design
LLMs, RAG, and agent-based approaches built on the data and processes that already exist. The design starts from the decision the system has to support, not from the model.
- Implementation
Workflow automation
Integration layers and runs that need no manual babysitting. The goal is a process that holds up without the person who built it.
- Strategy
Data strategy
What gets measured, where it flows from, and who decides on it. Without this layer even a good model stays an expensive guess.
- Leadership
Transformation leadership
From spotting the opportunity through solution design to rollout and operation. Company for the whole way, not a deck at the start.
Contact
If you're looking for support in AI transformation or process automation, get in touch. E-mail is the fastest way.
I usually respond within 24 hours.