What is Agentic AI?

Explained

Agentic AI refers to systems that operate with a degree of autonomy, perceiving their environment, making decisions, and executing multi-step actions to achieve goals without constant human intervention. Thinkia Synapse is an agentic platform for enterprise AI.

Decision guides that use this term

• Build vs buy AI agents: which agents should you own, and which should you rent?
• Agentic AI vs generative chatbots: does your use case need an agent or a good assistant?
• Agent framework vs custom orchestration: should you adopt a framework or write your own agent loop?
• Human in the loop vs autonomous agents: how much should an AI agent decide on its own?

Further reading

• Enterprise AI Agents: Beyond Copilots to Your Next Digital Workforce
• Enterprise AI Agents: The C-Suite Guide to Taming Operational Costs

Related terms

• Enterprise AI AI applied to the enterprise context: governance, scalability, integration with legacy systems.
• Platform Infrastructure that centralizes models, agents, and workflows; e.g., Synapse.
• Synapse Thinkia's agentic platform; orchestrates agents, models, and workflows.
• Agent Agenda The agent’s live plan: ordered steps, open subtasks, and checkpoints toward a goal.
• Agent Planner Component or prompt pattern that proposes multi-step plans before tools run.
• Agent Skill Packaged capability for an agent: instructions, allowed tools, and I/O schemas for one coherent task.