What Is Agentic AI?

What Is Agentic AI? How Does It Differ from ChatBots?

Agentic AI refers to AI with the ability to set goals, plan, make decisions, and take action autonomously without requiring step-by-step human commands. While ChatBots or general Generative AI wait for user questions before responding, Agentic AI can "identify problems" and "take action to solve them" on its own.

Feature	ChatBot / Generative AI	Agentic AI
How it works	Waits for question → Responds	Detects conditions → Plans → Takes action
Decision-making	Does not decide, only recommends	Decides within defined boundaries
Continuity	Ends after each Q&A round	Works continuously until the goal is achieved
System integration	Limited, mostly text-based	Connects to multiple systems, reads data + executes commands
Examples	ChatGPT, Copilot Chat	Microsoft Copilot Agents, Oracle AI Data Agents

Why Should You Care About Agentic AI Now?

2025-2026 marks a "turning point" as global technology companies have begun embedding Agentic AI into their core products in earnest:

Company	Development	Impact
Microsoft	Embedded Agentic Apps in Power Platform + Copilot Studio	Organizations can build AI Agents without coding
Oracle	Launched AI Data Agents in Oracle Fusion Cloud	AI analyzes ERP data and recommends actions automatically
SAP	Restructured organization around Business AI	Joule Copilot evolved into AI Agent within S/4HANA
Snowflake + OpenAI	Partnered with $200M investment to build AI Agents for Data	AI Agents analyze cross-system data automatically

Agentic AI in ERP Systems — What Can It Do?

When Agentic AI is embedded into ERP systems, it creates "digital employees" that can handle repetitive tasks 24/7. Here are concrete examples:

1. Automated PO Approval

An AI Agent reviews incoming purchase orders, compares them against budgets, checks prices across 3 vendors, and approves automatically if criteria are met — if not, it sends an alert to management for review. No more waiting for someone to open each PR individually.

2. Predictive Inventory Management

An AI Agent analyzes historical sales data + seasonality + supplier lead times to predict when items will run out — then automatically creates draft purchase orders for final human approval. Issues like inventory discrepancies would decrease significantly.

3. Automated Period Closing

An AI Agent checks outstanding receivables/payables, reconciles accounts, detects unrecorded transactions, and creates closing entries — a process that used to take 5-10 days could be reduced to 1-2 days.

4. Anomaly Detection in Expenses

An AI Agent monitors all expense transactions in real-time, comparing them against normal patterns — for example, electricity costs 3x higher than average, or a disbursement to a vendor with no prior history. The system flags immediately with recommended investigation steps, aligned with ERP security best practices.

ERP Process	Traditional (Manual)	With Agentic AI
PO Approval	Wait for manager to review each one (1-3 days)	AI checks + auto-approves (minutes)
Inventory Replenishment	Wait until stock is low → human orders	AI forecasts + creates draft PO in advance
Month-End Closing	Accounting team 5-10 days	AI reconciles + draft entries (1-2 days)
Expense Anomaly Detection	Found during audit (after the fact)	AI flags immediately in real-time
Report Generation	Request → IT pulls data (hours-days)	AI generates + delivers reports on schedule

For organizations still experiencing gaps between reports and reality, Agentic AI helps close that gap because data is processed in real-time — no waiting for human compilation.

Thai Organizations and Agentic AI — How Ready Are They?

According to surveys by PwC Thailand and Deloitte in 2024, Thai organizations are rapidly transitioning toward the Agentic Enterprise era:

• 84% of Thai executives view GenAI as important to organizational strategy
• Large enterprises are piloting AI Agent projects in Finance, HR, and Procurement
• Government agencies are studying AI for approval and document verification workflows
• Key challenges: shortage of AI talent, data not ready, no clear AI legislation yet

Cautions — AI Agents Are Not a Silver Bullet

While Agentic AI has enormous potential, organizations must be aware of these critical considerations:

1. Human-in-the-Loop Is Still Essential

AI Agents should operate within "defined boundaries" — for example, approve POs up to 100,000 THB only; anything higher must go to a human decision-maker. The higher the impact, the more human oversight is needed. Learn more about how AI and humans can work together.

2. Accountability When AI Makes Wrong Decisions

If an AI Agent approves a PO with abnormally high pricing, who is responsible? Organizations must define clear policies about what AI can decide, what requires human approval, and maintain a complete Audit Trail traceable for every transaction.

3. Data Quality Is the Foundation

No matter how smart an AI Agent is, its performance depends on the data it receives — if ERP data is incomplete, inaccurate, or outdated, the AI Agent will make flawed decisions. "Garbage In, Garbage Out" remains as true as ever.

4. AI Governance and Ethics

Organizations need a comprehensive AI Governance Framework:

Aspect	What Must Be Defined
Authority Scope	What can the AI Agent decide? What requires human approval?
Transparency	Why did the AI make this decision? Must be explainable (Explainable AI)
Audit Trail	Every AI decision must be logged for retrospective review
Accountability	Define "who" is responsible when AI makes an error
Review Cycle	Evaluate AI Agent performance quarterly with continuous improvement

Saeree ERP and AI — Preparing for the Agentic Era

Saeree ERP is currently developing an AI Assistant that is in the Training phase to help users work faster and more accurately, with a clear approach:

• Starting with AI-Assisted — helping with recommendations, search, and data summarization before evolving into full AI Agent capabilities
• Human-in-the-Loop as core principle — all critical decisions still require human approval
• Data security — organizational data is never sent to external AI services
• Designed for Thai organizations — supports multi-level approval workflows aligned with Thai organizational culture

Steps to Prepare Your Organization for the Agentic AI Era

Organizations looking to leverage Agentic AI should start preparing today:

1. Organize your data — ensure ERP data is complete, accurate, and timely, because AI Agents need quality data
2. Identify repetitive processes — find tasks performed daily/monthly with clear rules, suitable for AI Agents
3. Establish AI Governance — set policies on what AI can and cannot do, and who is responsible
4. Start small (Pilot) — choose 1-2 suitable processes, test with AI Agents, measure results, then scale
5. Develop your people — train teams to understand how AI works and collaborate with AI confidently

Agentic AI does not replace humans — it transforms their role. From performing repetitive tasks to becoming strategic decision-makers and AI supervisors. Organizations that prepare today will be leaders tomorrow.

- Saeree ERP Team

Summary — Agentic AI and the Next Generation of ERP

Topic	Key Points
What is Agentic AI	AI that makes decisions and works autonomously, unlike ChatBots that wait for commands
Why care now	Microsoft, Oracle, SAP have embedded AI Agents in their products; market to reach $65.8B by 2030
ERP use cases	PO approval, inventory forecasting, month-end closing, expense anomaly detection
Cautions	Requires Human-in-the-Loop, AI Governance, Audit Trail, quality data
Saeree ERP	Currently developing AI Assistant (in Training phase) with Human-in-the-Loop focus

References

• PwC Thailand — Global AI Jobs Barometer 2024
• Gartner — What Is an Intelligent Agent in AI?
• Microsoft — Introducing Agent Capabilities in Copilot Studio
• Oracle — AI Agents
• Markets and Markets — Agentic AI Market

If your organization wants to prepare for the Agentic AI era or is interested in an ERP system that supports future technologies, you can schedule a Demo or contact our consulting team to assess your organization's readiness.