What is agentic Artificial Intelligence (AI) ? Explain its working. Describe its applications with suitable examples. Discuss the advantages, risks and challenges associated with agentic AI systems. (Answer in 250 words)

- What is agentic Artificial Intelligence (AI) ? Explain its working. Describe its applications with suitable examples. Discuss the advantages, risks and challenges associated with agentic AI systems. (Answer in 250 words)
Introduction
Agentic Artificial Intelligence (AI) refers to AI systems capable of autonomously pursuing goals by perceiving information, reasoning, planning, using tools and taking actions with limited human intervention.
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How it Works:
1. Goal Interpretation: The agent receives an objective from the user.
2. Planning: It decomposes the objective into smaller tasks and prioritises them.
3. Tool Use: It may access databases, software, APIs, browsers or other AI models.
4. Action and Feedback: It executes tasks, observes outcomes and modifies its strategy.
5. Memory and Learning: Advanced agents retain context and use previous interactions to improve decisions.
Applications:
- Healthcare: Agents can coordinate appointments, analyse patient records and assist clinical workflows.
- Business: AI agents can manage customer support, inventory, procurement and workflow automation.
- Software Development: Coding agents can identify bugs, write code, test and deploy applications.
- Research: Agents can search literature, analyse datasets and generate summaries.
- Personal Assistance: Travel agents can compare flights, hotels and itineraries and execute bookings.
Advantages:
1. Greater automation, productivity and scalability.
2. Faster decision-making and continuous operation.
3. Ability to coordinate complex multi-step tasks.
Risks and Challenges:
1. Autonomous errors may propagate across interconnected systems.
2. Cybersecurity risks including misuse of tools and sensitive data.
3. Bias, opacity and difficulty in assigning accountability.
4. Excessive autonomy may reduce meaningful human oversight.
5. High computational cost and uncertain regulatory frameworks.
Conclusion
Thus, agentic AI can transform digital work from assistance to autonomous execution, but its deployment requires human oversight, auditability, cybersecurity safeguards and clear accountability.