What Is Agentic AI

What Is Agentic AI?

Agentic AI refers to AI systems that can think, plan, decide, and act autonomously without requiring human instructions at every step. Unlike traditional AI that operates in a "question-answer" loop, Agentic AI can:

• Receive goals — e.g., "Prepare the quarterly budget report"
• Create plans — break tasks into steps, gather data from multiple sources
• Take action — access systems, retrieve data, generate reports
• Reflect on results — evaluate whether outputs are correct, make corrections if needed
• Use tools — connect to APIs, databases, email, calendars

Agentic AI vs Chatbot vs AI Copilot

To understand the differences, let's compare the three levels of AI currently used in organizations:

Feature	Chatbot	AI Copilot	Agentic AI
How it works	Question-answer, one turn at a time	Assists humans in their workflow	Receives goal → plans → executes autonomously
Autonomy	Low — needs human input every turn	Medium — suggests but human decides	High — decides and acts independently
Examples	ChatGPT, LINE OA Chatbot	GitHub Copilot, Microsoft 365 Copilot	AutoGPT, Devin, Claude Agent
Best for	Customer Q&A	Boosting productivity in specific tasks	Complex cross-system workflows

Why Gartner Says Agentic AI Will Change Everything

Gartner predicts that by 2028, at least 40% of enterprise AI software will be agentic — meaning AI will no longer be just a tool waiting for instructions but will become a "digital colleague" that can accept tasks and complete them independently.

Key reasons Agentic AI is gaining attention:

• Reduces repetitive workload — manual tasks like document verification, invoice matching, and report generation
• Works across systems — Agentic AI can connect to ERP, email, calendars, and databases seamlessly
• Operates 24/7 — no holidays, no sick days, works around the clock
• Learns and improves — AI Agents can learn from mistakes and optimize processes

Real-World Use Cases of Agentic AI

While still in its early stages, many organizations have already started deploying Agentic AI in production:

1. Finance & Accounting

• Verify invoices, match with purchase orders, and auto-approve payments
• Generate monthly financial reports with anomaly analysis
• Track overdue receivables and send automatic reminders

2. Procurement

• Compare prices across multiple vendors and generate comparison reports
• Review contracts and alert before expiration
• Monitor supplier delivery status

3. Human Resources (HR)

• Screen resumes and rank candidates
• Manage new employee onboarding — send documents, schedule orientation, set up accounts
• Answer employee questions about benefits, leave policies, and entitlements

4. IT & Helpdesk

• Analyze tickets and resolve basic issues automatically
• Monitor system security and alert on threats
• Manage patch updates and software upgrades

Risks to Watch Out For

Agentic AI isn't without risks — organizations must be aware of these challenges:

• Hallucination — AI may generate convincing but incorrect information. When AI makes autonomous decisions, the damage from wrong data is amplified
• Accountability — If an AI Agent makes a mistake, who is responsible? Organizations must establish clear AI Governance
• Security — AI Agents with access to multiple systems create new attack surfaces. Strong authentication and risk management are essential
• Human-in-the-loop — High-impact decisions still require human approval before AI acts

Agentic AI isn't about replacing people — it's about changing their role from "doers" to "supervisors." Organizations with well-organized data and clear processes will benefit the most from Agentic AI.

- Saeree ERP Team

How Should Organizations Prepare?

Although Agentic AI is still in its early stages, organizations that prepare now will be ready to adopt AI Agents faster:

1. Centralize your data — Move from scattered Excel files to an ERP system that consolidates data from all departments
2. Create an AI Governance Policy — Define what AI can and cannot do, who approves, and who is accountable
3. Start small — Experiment with AI for report generation or internal Q&A first
4. Train your people — Help employees understand AI capabilities, limitations, and how humans and AI work together
5. Choose an open tech stack — Systems with open APIs that support future AI integration

Summary

Agentic AI is the new generation of AI that goes beyond "question-answer" — it thinks, plans, and acts autonomously. Gartner predicts that 40% of enterprise AI software will be agentic by 2028.

What organizations should do now:

• Centralize data with an ERP system
• Establish an AI Governance Policy
• Start experimenting with AI in low-risk tasks
• Train employees to understand AI

If you want to build a solid data foundation for future AI adoption, consult with our team for free.

References

• Gartner — What Is Agentic AI?
• McKinsey — Why agents are the next frontier of generative AI
• Microsoft — New autonomous agents scale your team