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# 5 practical examples of how AI supports process automation
- URL: https://blog.jestor.com/5-practical-examples-of-how-ai-supports-process-automation/
- Published: 2025-10-15T21:39:05.000Z
- Updated: 2025-10-15T21:39:05.000Z
- Author: Aline Valério

### **AI and automation: working better together**

Automation executes.  
AI observes, learns, and recommends.  
Together, they make business processes smarter — not just faster.

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### **5 practical ways AI supports automation**

*(Unordered list — not a ranking of quality or preference.)*

1️⃣ **Pre-automation analysis**  
AI highlights which workflows are slowest and worth automating first.

2️⃣ **Workload forecasting**  
It predicts when activity peaks will occur and helps balance resources.

3️⃣ **Automation suggestions**  
Identifies repetitive steps that deliver high ROI when automated.

4️⃣ **Performance comparison**  
Measures whether automation has truly improved results versus manual work.

5️⃣ **Smart reporting**  
Generates summaries and insights for continuous improvement.

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### **How Jestor applies this**

In **Jestor**, AI acts as an **embedded process advisor**.  
It doesn’t run automations itself but:

- Analyzes flow data;
- Recommends optimizations;
- Generates visual reports;
- Helps managers decide what to improve next.

This means automation becomes more strategic and impactful.

---

### **Conclusion**

Automation is the engine.  
AI is the navigator.  
And the manager drives — with greater visibility and confidence.

🌎 [Jestor US](https://jestor.com/?ref=blog.jestor.com)