What the numbers say
According to TurkStat’s 2025 release, 7.5% of enterprises reported using AI. Adoption was 6.6% among firms with 10-49 employees, 9.6% among firms with 50-249 employees, and 24.1% among larger enterprises. The gap points to uneven implementation maturity rather than universal readiness.
The stated barriers are even more useful: 74.2% cited a lack of relevant expertise, 67.4% high costs, and 62.4% legal uncertainty. Buyers are therefore not merely purchasing software. They are buying clarity around selection, deployment, accountability and measurement.
Low adoption does not automatically mean demand
A company that does not use AI may still lack budget, usable data or an accountable process owner. A strong candidate has repeatable volume, visible error costs, comparable baseline data and a manager willing to own the process.
That is why the first conversation should focus on transaction volume, error patterns, data sources, approval rights and current costs—not on model names.
A practical first move
Do not attempt to transform the entire company. Test one process—such as quote comparison, invoice-to-order matching or document routing—over four to six weeks. During shadow mode, the system recommends while people continue to execute the official process.
- One process and one named owner
- Limited data and an explicit access matrix
- A baseline and written success criteria
- Human approval for critical actions and a rollback plan