Automatizace podnikových procesů dnes nestačí jen „klikat". V Hyverr propojujeme robotickou procesní automatizaci (RPA) s umělou inteligencí a LLM — a budujeme řešení, která vaší firmě skutečně rozumí. Výsledkem jsou procesy běžící 24/7, bez chyb a bez nutnosti lidského zásahu.
RPA: Digital Muscle (Precision & Execution)
Traditional RPA (e.g., UiPath, Power Automate) works like a perfect digital worker — one that never gets tired and never makes a data entry mistake.
-
What it does: Logs into systems (ERP, SAP, RSMS), downloads files, copies data from cell A to cell B, and sends predefined emails.
-
Limitations: The moment it encounters unstructured data — such as an email from a customer with informal writing, or a scanned invoice with a different layout — the robot stops and requires human intervention.
LLM: Digital Brain (Context & Cognition)
This is where models like GPT-4, Claude, or our own custom LLM implementations come in. These models don't "click" — they "think."
-
What it does: Read text, understand its tone (sentiment), extract key information from unstructured chaos, suggest responses, and make prioritization decisions.
-
Benefit: They can process information with no fixed structure. They recognize that "I'm sending you the paper for the flight" and "please find the Air Waybill attached" mean exactly the same thing.
Our Philosophy: The Synergy of "Digital Hands" and "Digital Brain"
Traditional automation (RPA) can move data — but it can't understand it. At Hyverr, we bridge that gap. We design our solutions as a closed-loop ecosystem:
-
RPA (Digital Hands): Executes routine tasks, connects systems (such as RSMS, SAP, and Salesforce), and ensures flawless data transfer.
-
LLM & AI (Digital Brain): Analyzes unstructured text, understands the context of emails, extracts key information from documents, and decides on the next course of action.
The result? Processes that once required hours of human labor now run in seconds — 24/7, with zero error rate.
How We Work: From Analysis to Deployment
We don't deploy technology for technology's sake. Our process is results-driven:
-
1. Process Mining & Audit: We identify bottlenecks in your internal processes.
-
2. Architecture Design: We define where RPA ensures stability and where LLM delivers the intelligence you need.
-
3. Proof of Value (PoV): Within weeks, we deliver a working prototype that demonstrates real, measurable savings.
-
4. Scaling: We integrate the solution into your business environment with a strong focus on data security and GDPR compliance.
What Does the Synergy Look Like in Practice? (The Hyverr Loop)
Our solution connects both worlds into one seamless flow, what we call the Cognitive automation loop:
| Phase |
Technology |
Action |
| Input |
RPA |
The robot monitors incoming emails or a folder of scanned documents. |
| Understanding |
LLM (AI) |
The model reads the document, identifies it as a damaged cargo claim, and extracts the flight number, shipment ID, and damage description. |
| Decision |
LLM (AI) |
The AI assesses the severity and determines which internal system the data should be logged in and under which category. |
| Execution |
RPA |
The robot logs into the internal application, locates the specific record, and enters all the data prepared by the AI. |
| Feedback |
LLM + RPA |
The AI generates a personalized response to the customer in their language, and RPA sends it. |
Our Solutions in Practice:
Intelligent Products
Intelligent Document Orchestrator (IDO)
Our flagship approach to document processing. Where standard OCR fails with changing formats, our RPA + LLM combination handles any invoice, contract, or air waybill (AWB) with ease.
-
Use case: Automated data extraction from documents and subsequent matching in accounting systems — no template definition required.
-
Benefit: 90% reduction in administrative workload.
Smart Mailbox Automator
A robot that doesn't just sort emails — it actually understands them. Powered by LLM, it identifies the sender's intent, extracts relevant data, and uses RPA to instantly create tickets in your CRM or respond to routine inquiries.
-
Use case: Processing customer requests or managing internal company communications.
-
Benefit: 80% reduction in administrative workload.
