Agentic AIJul 18, 2026·5 min read
What is Agentic AI?
Agentic AI systems make decisions and take actions to achieve goals with limited human supervision. Learn the fundamentals.
Definition
Agentic AI refers to AI systems that can set intermediate goals, make decisions, and take actions in pursuit of an objective — with limited or intermittent human supervision.
Simple explanation
A regular AI tool answers when asked. Agentic AI works toward a goal: you describe the outcome, and the system plans and executes the steps, asking for help only when needed.
Technical explanation
Agentic systems extend the agent loop with more autonomy:
- A goal is defined (by a person or a higher-level system)
- The agent decomposes the goal into subtasks
- It selects tools and executes steps
- It evaluates progress against the goal
- It re-plans when results are unexpected
- It asks for human approval at defined checkpoints
Architecture
- Goal and constraint definitions
- Planning module
- Tool and API access with scoped permissions
- Memory across steps
- Evaluation and re-planning loop
- Human-in-the-loop checkpoints
Use cases
- Multi-step research and report generation
- Back-office process orchestration
- Software engineering assistance
- Autonomous operations monitoring
Common mistakes
- Delegating too much autonomy too early
- Missing human checkpoints for high-impact actions
- No metrics for success or failure
FAQ
Is Agentic AI safe for my business? Start with bounded autonomy: define permissions, add checkpoints, and monitor every action.
Talk to our AI experts about Agentic AI for your company.