AI in Operations: Practical Tools That Already Exist in 2026
We hear about Artificial Intelligence every day, but how does a COO use it practically, beyond "asking to write a text"? The true AI revolution in operations (AIOps) is the ability to interpret unstructured data (texts, images) in volume and transform it into structured data.
Real Use Cases
- Email Triage: AI reads the customer's email, understands it's a "Broken Product Complaint," and routes it to the correct department.
- Contract Review: AI reads the PDF and says, "The confidentiality clause is missing."
- Smart OCR: Reads an invoice from a new vendor and knows where the total is, even if the layout is different.
AI Integrated into Jestor
This is where Jestor stands out by delivering the solution in practice:
- Embedded Agents: Jestor has native integrations with Large Language Models (LLMs). You can create an automation that says: "Read the customer's answer in this form and summarize it in 3 bullet points on the card."
- Data Chat: Ask questions to your own data. Instead of building a chart, you type: "Which product had the most defects this month?" And the AI answers.
- No-Code Scale: Using AI doesn't require Machine Learning engineers. Just drag the Intelligence block in the automation builder.
Frequently Asked Questions (FAQ)
Will AI replace my team? AI doesn't replace the team; it replaces "skimming" and "copy-pasting." The final decision is human. MeetJestor.
Does data feed public AI? No. Corporate systems (Enterprise) ensure your company data doesn't train public models (Privacy).
Can I test AI automation? Yes, during the free trial you can already connect intelligence nodes to your processes.
Conclusion
With Jestor, it is possible to automate workflows, connect departments, and create internal systems your way, all code-free and AI-supported.
Discover Jestor and learn how to take your company's management to a new level of efficiency and integration.