The repetitiveworkis the machine's.
AI agents wired into your existing systems and workflows: the machine does the repetitive, manual work while you focus on the decisions.
I don't build a new product from scratch — I wrap an agentic layer around your existing stack. The AI agent connects through MCP to wherever the work happens — invoicing, CRM, email, calendar, bank — so you're no longer moving data by hand from one system to the next.
At most companies the real time loss isn't in the hard decisions, it's in the many small, repetitive steps: data entry, follow-ups, reporting, client onboarding. Those are what I hand to the machine, with measurable savings — and in a way that keeps the process transparent and auditable.
I build this layer in production on my own product, titkar.ai: the agents don't just answer, they act. I bring the same reliability bar into client workflows — not a demo, but automation running in production.
Not everything is worth automating. I do it where the machine is faster and more reliable, freeing people for the decisions and the real work. Where a simple rule is enough, I don't reach for AI — that would just be needless cost.
Approach
The process comes first
I look at what repeats, what's rule-based, and where the actual bottleneck is. I only automate what has a real payoff.
Small step, real data
I wire up one process first, measuring the savings on real data. If it proves out, I scale from there — not the other way around.
Human in the loop
At critical steps the agent stops and waits for approval. Audit trail, error handling, and scoped permissions, so it stays safe even wired into your systems.
Technology
FAQ
Common questions
A product is founded on the AI itself; integration, by contrast, wires the agent into your existing systems and workflows. You're not buying new software — I'm speeding up how you already work with an agentic layer.
The repetitive, rule-based work made of many manual steps: moving data between systems, reporting, follow-ups, client onboarding, invoicing flows. Not the rare, judgment-heavy decisions — those stay with you.
With a well-chosen first process the savings usually show within weeks, because the manual hours drop out immediately. That's why I wire up one narrow, measurable process before anything scales.
Yes, when it's built right. Zero-retention model usage, scoped permissions, an audit trail for every step, and a human in the loop for critical decisions. The agent sees and does only what you allow.
A simple automation covering one process starts around 400–900K HUF. A multi-step agent workflow connecting several systems runs 2–4M HUF. Most of the cost isn't the code — it's the integration and the reliability layer: permissions, error handling, monitoring.
Services
Other areas
AI Products & Agents
Custom AI products from concept: agents that generate content, make decisions, and solve real business problems. I build my own products the same way.
→Web Applications
Internal tools, client portals, and SaaS — frontend to backend, with AI agents behind the flows. Clean interfaces and reliable performance under load.
→Websites & Webshops
Custom websites and online stores, from landing pages to complex platforms, tuned for speed and conversion. Shopify or fully custom, with AI features where they earn their place.
→Mobile Apps
Mobile apps with native feel, smooth interactions, and fast iteration cycles.
→Have a project?
I'd love to hear what you're working on. Drop me a message and I'll get back to you within 24 hours.