Business process automation today is about more than just "clicking". At Hyverr, we combine robotic process automation (RPA) with artificial intelligence and LLMs to build solutions that truly understand your business. Routine work runs automatically, so people can focus on the decisions that matter. We combine RPA and AI with built-in controls and clear exception escalation.
RPA: Digital Muscle (Precision & Execution)
Traditional RPA (e.g. UiPath, Power Automate) works like a reliable digital worker that never gets tired and transfers data consistently according to set rules.
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What it does: Logs into systems (ERP, SAP, RSMS), downloads files, copies data from cell A to cell B, and sends predefined emails.
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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)
We design and integrate custom AI capabilities, including built-in controls and documentation tailored to each specific use case
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What it does: What it does: reads texts, recognizes their type and
urgency (e.g. complaint vs. enquiry), extracts key information and suggests replies and priorities.
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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:
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RPA (Digital Hands): It handles routine tasks, connects systems (such as RSMS, SAP and Salesforce) and ensures consistent, auditable data transfer.
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LLM & AI (Digital Brain): Analyzes unstructured texts, understands the context of emails, extracts key information from documents and suggests next steps based on the rules you define.
The result? From hours of routine work to faster processing. RPA and AI help you save time, cut down on manual data entry and keep your processes under control.
How We Work: From Analysis to Deployment
We don't deploy technology for technology's sake. Our process is results-driven:
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1. Process Mining & Audit: We identify bottlenecks in your internal processes.
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2. Architecture Design: We define where RPA ensures stability and where LLM delivers the intelligence you need.
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3. Proof of Value (PoV): Within weeks, we deliver a working prototype that demonstrates real, measurable savings.
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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) |
AI suggests the category and priority of the request; the final course of action is governed by the configured rules and checks. |
| 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 |
AI drafts a reply to the customer in their own language. It is sent after approval, or automatically with a note that it was prepared by an AI assistant (depending on the client's settings). |
Our Solutions in Practice:
Intelligent Products
Intelligent Document Orchestrator (IDO)
We combine RPA and AI to extract information from documents in a variety of formats and structures, followed by automated data validation.
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Use case: Automated data extraction from documents and subsequent matching in accounting systems — no template definition required.
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Benefit: Less manual data entry and document sorting; we verify the actual savings using the client's own data.
Smart Mailbox Automator
Smart Mailbox helps classify incoming emails, extract data and draft replies based on predefined rules; the level of automation depends on the specific deployment.
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Use case: Processing customer requests or managing internal company communications.
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Benefit: Less manual email sorting; the actual impact depends on the mix of incoming messages.
