What is agentic AI?
Agentic AI is the design paradigm in which AI systems do not merely answer but act: they decompose a goal into a plan, select and call tools, and execute multi-step workflows with limited human intervention. The building blocks are a capable model — usually a large language model — plus tool and function-calling interfaces, memory, and an orchestration loop that keeps the system moving towards its objective. An agent is not a new species of model: it is an architecture wrapped around a foundation model, which is why the paradigm spread as fast as the models themselves.
How an agentic system works
- Planning: the model breaks the objective into ordered steps and revises the plan as intermediate results arrive;
- Tool use: connectors — increasingly standardised through interfaces such as the Model Context Protocol — let the system query databases, browse, send messages or write to systems of record;
- Memory: short-term context and longer-term stores let the agent carry state across steps and sessions;
- Orchestration: a control loop sequences all of the above and decides when to retry, when to stop and when to hand back to a human.
The legal dimension
Autonomy shifts risk from content to action. A system that drafts text creates review problems; a system that executes creates attribution problems: whose declaration is the agent’s declaration, who set its spend and authority limits, and who can prove afterwards what it did. Human oversight therefore has to be designed for systems that act rather than suggest, and the agent’s action logs become your liability evidence — retain them. The complete legal analysis — AI Act treatment, Turkish contract-law attribution, contract drafting — lives in our canonical entry on the AI agent.
Turkish context
Türkiye has no AI-specific statute in force; an agentic system run by a Turkish company is governed by general rules — KVKK (Law No. 6698) where personal data is processed, and general contract and tort principles for the agent’s acts. Turkish teams building agentic products for EU customers should expect the EU AI Act’s requirements to arrive through those customers’ contracts even without any EU establishment.
Do: treat autonomy as a design variable — cap what the agent may spend and commit to, and log every step it takes. Don’t: ship an agentic feature assuming a human “somewhere in the loop” settles the oversight question; the loop has to be specified, staffed and tested.
Related guides: When the AI Acts for You.
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