Agentic AI

Also known as: AI Agents, Research Agents, Autonomous AI, Agentic Systems

AI systems that act autonomously to complete complex multi-step tasks, making decisions and using tools without constant human intervention.

Agentic AI refers to artificial intelligence systems that can autonomously plan, execute, and adjust actions to complete complex, multi-step objectives. Unlike an LLM that responds to a single prompt, an AI agent can browse websites, run code, read files, call APIs, and coordinate with other agents to complete entire workflows.

In market research, agentic AI promises to automate complete workflows: from questionnaire design to final report delivery, including data analysis, insight identification, and visualization generation. This could reduce fieldwork and analysis time from weeks to hours.

The most advanced agentic systems in 2026 (such as those based on Claude 3.7 Sonnet, GPT-4o with tools, or Gemini 2.0) can already execute simple research workflows autonomously. Human oversight remains critical to ensure quality and integrity.

Atlantia is developing agentic capabilities to automate parts of the research workflow, always maintaining human control over final results.