Software development is fundamentally changing. We're building on that.
We currently deploy AI agent solutions at our clients, built on our in-house SET framework. We operate as a small yet highly experienced team of IT developers and consultants. Our work also extends to enterprise-grade AI training, monday.com and n8n-based system rollouts, and expert support for EU-grant projects.
What brings you here?
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How we work
We lead AI agents, not write lines of code.
Understand
We analyze the business problem. Existing system? We map it with AI.
Specify
We create precise, machine-readable specifications. 28 years of experience tells us WHAT to build.
AI agents implement
Our custom orchestration system drives the agents. Cognitive memory, custom tools, spec-driven workflow.
Review + Testing
All code is automatically tested. Our seniors validate the OUTCOME, not individual lines.
Done
Days to weeks, not months.
A site manager doesn't lay bricks. They design the building, coordinate the work, and ensure quality. We do the same in software — except our workers are AI agents.
We don't do the same thing faster. We take over entire processes.
The age of coding is over — the age of function has begun.
What matters isn't how the software is built, but what it solves.
Today, implementation isn't the bottleneck. Defining what to build is.
By the numbers
Multiple pillars, one professional foundation. SET is our AI flagship — alongside enterprise AI training, software development, monday.com, n8n, grants, SMB.
Copilot vs. AGENTIC: what's the difference?
Copilot: developer assistant
Programmer's assistant. Code is built line by line; the human decides every step.
- • 84% use AI, but only 48% use agents (Stack Overflow 2025)
- • AI-accuracy trust dropped: 40% → 29% in one year
- • DORA 2025: AI accelerates, but reduces delivery stability without test discipline
AGENTIC: spec-driven system building
Multiple agents in parallel, automated quality gates, audit trail. The specification is the program — built on the SET framework.
- • Agents are 50× faster — yet real organizational gain is only 2-3× (Jeff Dean, Google GTC)
- • The gap is consumed by human-paced tool chains
- • Multi-agent orchestration removes the tool-chain bottleneck
AI maturity levels
Most companies sit at 0-1. We operate at level 3 — multi-agent orchestration.
The difference isn't whether you use AI. The difference is HOW.
Services
Enterprise AI training
Executive, architect, and developer-level AI training. Company-specific curriculum, on-site or online. Multi-agent orchestration, spec-driven workflow, agentic tooling in practice — in Hungarian or English.
Software development
Greenfield and brownfield projects. Webshops, websites, internal systems, integrations. From specification to production — AI-driven, tested, auditable output.
Monday.com development
Monday.com platform integration and custom solutions. Workflow automation, app development, dashboard building inside existing monday.com environments. Fixed price or retainer.
n8n development
n8n platform integration and custom solutions. Workflow automation, integrations, custom-node development inside existing n8n environments (self-hosted or cloud). Fixed price or retainer.
Grant projects
DIMOP, Demján and other Hungarian grant projects. Taking over stuck projects and finishing them with AI-driven methodology. ITLine financial backing and grant-compliant documentation.
SMB solutions
CRM, billing, automation, internal tools — finally affordable for SMBs. Custom assessment, complete system solution, modern AI tools at realistic prices.
Consulting
Strategic IT and AI consulting for executives and development directors. Situation analysis, technology roadmap, team transition planning. One-off or retainer-based engagement.
Traditional model vs. AGENTIC model
Traditional model
AGENTIC model
Don't believe it? Book a demo — or watch the 2-minute recording where an agent builds a webshop live.
Technology Ecosystem
What we use — from technologies through platforms to AI tools.
Development
Platforms
AI Toolkit
Common questions
"Isn't this just an AI bubble?"
MIT NANDA 2025: 95% of enterprise GenAI pilots produce zero measurable P&L impact — BUT systems built with a specialist partner are twice as likely to succeed (67% buy vs 33% in-house). The bubble is real at the pilot layer; at the orchestration layer Anthropic grew to $30B ARR with 80% of F500 as customers. The question isn't 'should I adopt AI' — it's 'with whom'.
"What happens to our data?"
Fair question. AI models don't store the data they process, and our systems run on closed infrastructure. For sensitive projects, we can use local models that never leave your network. Data protection isn't a barrier — it's a solved problem.
"We don't understand AI"
You don't need to. Just like you don't need to understand the engine to drive a car — AGENTIC requires business thinking, not an IT degree. We handle the technology, you bring the domain expertise.
"How much does it cost?"
Less than you'd think. AI agents drastically reduce development time and cost. What used to take months now takes a fraction of the time and budget. We provide a concrete quote after a short conversation.
"It's too early, let's wait"
We understand the caution. But the technology is mature and production-ready today. A small pilot project lets you try it risk-free — and discover where it delivers the most value.
Latest resources
Presentations, videos, articles for leaders and decision-makers.
12 min The convergence trap: how AI trains everyone to build the same thing
Ask any AI coding assistant how to build an agentic system. Orchestration layer, governor pattern, context management, verify gates. The same list. Every time. We traced the mechanisms that cause this convergence, and followed the consequences to the wave of failed AI projects and the AI-skeptic movement. Part 2 of series.
16 min AI slop and the amplifier paradox: why 93% adoption produces 10% productivity
Experienced developers measured 19% slower with AI assistance, and believed they were 20% faster. The productivity gap between teams that orchestrate and teams that vibe-code is widening. We traced the data across nine studies, 100,000+ developers, and 211 million lines of changed code.
18 min Under the hood: what actually runs when you talk to a coding agent
A frontier coding agent is not an LLM with a terminal. It is an LLM post-trained with production-coder RLHF, tool-use fine-tuning, and inference-time search, wrapped in 512K lines of deterministic infrastructure. We traced the architecture of Claude Code, Codex, and their competitors. Part 1 of 3.
We're looking for partners
We're looking for sales partners who refer companies to us on a commission basis. If you know businesses that need software development — whether it's evolving an existing system, a grant project, or building something new — get in touch.
Become a partnerAbout us
ITLine Kft. has been on the Hungarian IT market **since 2004**. A senior team with decades of experience — and a conscious choice: AI is the new standard for development and education.
We work across multiple pillars: **enterprise AI training**, software development, **monday.com and n8n** custom solutions, **grant projects** (DIMOP, Demján), SMB packages, strategic consulting.
Our AI direction is led by our own **SET — an open-source orchestration framework** — used in production by partners, Hungarian-built, with an international professional background.
40-minute executive overview of SET, live demos, the latest materials: Resources →
Our key partner is Zengo Kft. as an IT integrator, and we actively participate in the MKIK (Hungarian Chamber of Commerce and Industry) knowledge-sharing programs.
Contact
ITLine Kft.
Tax ID: 13168085-2-06