How much does it cost for an SME to implement AI?

In the first year, the realistic cost is 2–8 million forints, which includes AI tool subscriptions (Claude Pro, Copilot, ChatGPT Team: $20–30 per person per month), integration work, and training. The ROI typically materializes within 3–6 months for document automation.

What AI-related budget items should be taken into account?

3 main categories: (1) SaaS subscriptions — AI models, copilots: 50,000–200,000 HUF per person per month, (2) Custom development/integration — MCP connectors and automation: one-time fee of 1–5 million HUF, (3) Training and change management — 500,000–2 million HUF per year. The most common mistake: spending on SaaS but not on integration.

How SMEs Can Spend Wisely on AI — With Concrete Figures

Global AI spending will reach $2.5 trillion in 2026—a 44 percent increase from the previous year. But the world’s corporate AI budgets won’t help you decide how much your company should spend. The question isn’t whether to spend on AI—it’s how to avoid wasting money without results.

The reality behind the big numbers

According to Bloomberg, the four largest U.S. tech companies will spend a total of $650 billion on AI infrastructure by 2026. Based on Goldman Sachs’ estimates, the hyperscalers’ capital expenditures are growing by 50 percent year over year. These figures are inspiring—and completely irrelevant to a Hungarian mid-sized company with 30 to 500 employees.

The reality is that SMEs aren’t building data centers. They aren’t training their own LLMs. They aren’t purchasing billions of dollars’ worth of GPU capacity. What matters is how to spend 50,000 to 2 million forints a month on AI in a way that delivers measurable business results.

The question isn't how much you spend on AI. The question is whether your investment will pay off—and when.

How much does AI cost for an SME—specifically

AI costs fell by about 35 percent in the entry-level segment between 2023 and 2025. What cost $500 a month two years ago is now available for less than $100. But the range of costs is enormous—it’s worth thinking in terms of categories.

Level 1: Experimentation (20,000–100,000 HUF per month)

Claude Pro, ChatGPT Plus, and Gemini Advanced subscriptions for the management team. This is enough for leaders to learn what AI can and cannot do. It’s not enough to drive business results—but it’s enough to keep them from feeling their way in the dark.

What it's good for: email drafts, meeting summaries, research, brainstorming. What it's not good for: anything that needs to integrate with the company's systems.

Level 2: Targeted automation (100,000–500,000 HUF per month)

This category includes AI-based SaaS tools: customer service chatbots, sales automation, and document processing. This is where most SMEs see their first real return on investment. A well-implemented AI customer service solution can replace 8–10 million forints worth of human labor annually.

What it’s good for: automating repetitive, rule-based tasks—where the risk of AI error is low. What it’s not good for: complex decision-making, strategic planning.

Level 3: Integrated ecosystem (500,000–2 million HUF per month)

Custom-developed connectors, API integrations, and unique AI workflows. Here’s where I stand with Gloster: 7 custom MCP connectors, 23 AI skills, and Jira, ERP, WordPress, Outlook, and SharePoint all connected to a single AI ecosystem. The investment is around 1–1.5 million forints per month—but it saves 15–20 hours per week, freeing up 8–10 million forints worth of management time annually.

What it's good for: full workflow automation, cross-platform data processing, decision support. What it's not good for: if you don't have a clear data structure and systems that can be integrated.

The ROI calculation that nobody ever does

According to CloudZero’s 2025 survey, only 51 percent of organizations are actually able to measure the return on their AI investments. The rest are spending “on a hunch.” This is unacceptable at the SME level—because every forint counts there.

Here’s a simple ROI formula you can use:

Monthly AI cost ÷ Hours saved × Hourly wage = Payback period

An example from Gloster: developing the AI skill for meeting preparation took two weeks of work (at a cost of approximately 400,000 HUF). Since then, it has saved 3–4 hours every week—equivalent to 150,000–200,000 HUF per month. The payback period is 2–3 months. Every month after that is pure profit.

If an AI investment doesn’t pay for itself within six months, or if you can’t calculate its return on investment—don’t commit the company to it.

The 3 Most Common Mistakes Made by SMEs

1. All at once

You don’t have to roll out 10 AI tools all at once. Pick one, measure the results, and if it works—scale it up. According to a Deloitte survey, only 34 percent of successful companies are rethinking their entire business model around AI. The rest are taking a targeted, step-by-step approach.

2. Without a dedicated AI budget

According to Constellation Research, most companies had not yet established a separate AI budget line by 2025—AI expenditures were hidden under other budget lines (IT, compliance, marketing). By 2026, this approach will no longer be sustainable. If there is no dedicated budget line for AI, there is no control—and no measurability.

3. Technology Without People

AI alone doesn’t solve anything. You need someone on the team who understands how it works and is able to adapt it to business needs. That person doesn’t necessarily have to be a data scientist—it could even be the CEO, as long as they’re curious and willing to learn. At Gloster, I was the “AI champion”—and that was the most important decision I ever made.

My suggestion: here's how to get started

Months 1–2: The management team is granted access to Claude Pro / ChatGPT Plus. Goal: Building AI literacy, not business results. Cost: 30,000–60,000 HUF per month.

Months 3–4: Select a single repetitive process (customer service, email, reporting) and implement a targeted AI tool for it. Track the results on a weekly basis. Cost: 100,000–300,000 HUF per month.

Months 5–6: If there is a measurable ROI, scale up to the next phase. If not—change your approach, not your budget. Cost: adjusted to the previous level.

Months 7–12: If the first two use cases are working, start thinking about integration. API connections, connectors, cross-platform workflows. This is where you really start to see a return on investment. Cost: 500,000–1.5 million HUF per month.

Total for the first year: 3–10 million HUF — and if you do it right, you’ll recoup double that amount by the end of the year.

AI Readiness: Assess Your Company’s Readiness in 10 Minutes — The 5 Pillars That Determine Whether You’re Ready to Implement AI
We no longer build chatbots—we build a digital workforce —The strategic framework: why “agent” and not “chatbot”
7 custom AI connectors that save 15–20 hours of work per week — The Level 3 integrated ecosystem in practice