Turkey's AI Action Plan: What It Means for Your Business

Turkey's AI Action Plan (2026-2030) is a national roadmap announced by the President in July 2026 that sets out the country's artificial intelligence priorities for the next five years. It covers public awareness, human capital, data infrastructure, public services, entrepreneurship, home-grown model development, the regulatory framework and international cooperation — and it names wider AI adoption among SMEs as one of its goals.

But what does a national plan mean for an owner who opens the shop every morning, plans production and chases overdue invoices? This article summarises the parts of the plan that actually touch smaller companies, looks at the support programmes already open, and tackles the question that matters most: what does your business need in place today so that it can genuinely benefit when funding appears?

What is the AI action plan and why is it in the news now?

An action plan is, at its simplest, an official statement of "here is what we intend to do in this field over the coming years". It is not a law and it is not a funding programme on its own, but it maps where resources will be directed and which rules are on the way.

The plan's main headings are:

• Public awareness: helping a wide audience understand what AI is and is not
• Human capital: training the skilled workforce the field needs
• Data infrastructure: how data is collected, stored and shared
• Public services: the state's own use of AI in citizen-facing services
• Entrepreneurship: support for new companies, products and business models
• Home-grown models: AI models developed in Turkey
• Regulatory framework: setting out rules, limits and responsibilities
• International cooperation: joint work in the field

Not all of these will touch your business directly. But entrepreneurship, human capital and the regulatory framework are precisely where future SME support schemes — and future obligations — are most likely to come from. A document that looks distant today can turn into your application file in a couple of years.

Three parts of the plan that affect SMEs directly

AI vouchers. To spread AI adoption among smaller companies, the plan foresees a support model described as an "AI voucher". The logic is simple: make it easier for a small business to put an AI application into practice when it would struggle to fund that on its own. The scope, conditions and application calendar will become clear through official announcements — follow those, not second-hand summaries.

Regulatory sandboxes. The plan foresees regulatory sandboxes in at least five priority sectors. A sandbox is a controlled environment where a new technology can be tested in limited scope and under supervision, without the full weight of regulation applying from day one. If your sector is covered, admitted applicants can get a chance to test a new solution for a limited time and scope, without carrying the full compliance load from day one.

Human capital. Whether you take a voucher or a loan, someone inside the company has to own the solution. That is where the human capital pillar comes in. Translated to your side of the table: an AI project is not an "IT job", it is a business unit's job. A project with no owner sits on the shelf, however good the technology.

The ecosystem is moving too. The TOBB Business World AI Summit was held in Ankara on 29 July 2026, and its programme included B2B meetings that paired SMEs with local software companies. Events like this are one of the fastest ways to answer the question "who does what, and who actually understands my sector?"

How can an SME apply for AI support in Turkey?

The action plan is a medium-term framework, but there are programmes on the table today as well.

AI Loan Programme. KOSGEB, the public agency for small and medium-sized enterprises, has opened an AI Loan Programme for businesses holding a Technology Entrepreneurship (Teknogirişim) Badge. Applications run until the end of 2026 through the SME Information System. The audience is narrow: badge holders are the direct candidates, and everyone else looks at other programmes.

Digital Transformation Support Programme. KOSGEB also runs a separate support programme for digital transformation. Applying requires a digital maturity assessment report from an authorised centre. That condition can look like extra paperwork, but it is genuinely useful: the report shows, from an outside perspective, where your company stands digitally. More often than not, that report is what tells you where to invest first.

Amounts, rates, ceilings and deadlines are revised from time to time, so we deliberately quote no figures here. Check the official programme announcement on kosgeb.gov.tr and confirm with the KOSGEB directorate you are registered with.

Funding arrives, readiness does not

The mistake we see most often goes like this: support is announced, the company buys a solution in a hurry, and six months later nobody opens it.

AI is built on data. If your order records live in three separate Excel files and the same customer appears under four different names, no model will clean that up for you. So the most profitable thing you can do while waiting for support is fix your data quality — and that costs you no grant at all.

The second half of readiness is process. You cannot explain a job to software if you cannot explain it step by step on paper. If you are unsure where to start, our digital transformation roadmap helps you put the steps in order.

Which tasks need AI, and which just need plain automation?

This is where expectation management begins. Not every repetitive task needs AI; sometimes a simple rule is enough, and it runs cheaper and more predictably.

• Tasks with clear rules: "When an invoice arrives, file it here and notify accounting." Classic automation is enough.
• Tasks that need interpretation: sorting incoming email by topic, pulling facts out of free text, summarising a long customer request. This is where AI genuinely makes a difference.
• Tasks that need prediction: demand forecasting, churn risk, stock planning. With clean history you get real value; with no history you get fortune telling.
• Tasks that carry decision responsibility: price approvals, staffing calls, credit assessment. Here AI produces a recommendation and a person makes the decision.

For concrete scenarios, see our guide to practical AI use cases for SMEs, and if you want the next step, our article on AI agents.

Questions to answer before you apply

Before applying to any support programme, write down answers to these three:

• A clear problem statement: which task, for whom, and why are we fixing it? "Use AI" is not a problem statement; "preparing a quote takes far too long" is.
• Your data situation: where does the relevant data sit, who enters it, and how reliable is it? If there is no data, your first project is collecting it.
• A measurable target: how will we judge success? Cycle time, error rate, cost, number of returns — pick one and note today's value.

Those three headings also make supplier selection easier; we covered the process in detail in what to prepare before requesting a software quote.

The window is open, but a rushed decision creates shelfware

There are two risks in this period. The first is not preparing at all: when a programme opens, a company that cannot pull together the documents, the data and the process misses the window. The second is buying a solution you do not need just because funding exists — which leaves you paying licence invoices for software nobody opens.

The balance is simple to strike: pick one problem, tidy your data around that problem, run a small pilot and measure the result. When support is announced, have a file ready. For a prepared company, applying is a formality rather than a burden.

At Lumethis we work with smaller companies at exactly this point: deciding together which process suits plain automation and which suits AI, tidying up the data side, and starting with one small, measurable pilot. If you would like to talk through how ready your business is, get in touch or take a look at our services.