Question 1

What is process automation?

Accepted Answer

Process automation uses software to handle repetitive manual workflows automatically. Typical examples: incoming invoice processing, lead routing to CRM, data sync between systems, document classification, report generation. We build enterprise-grade, custom-coded systems: Python + LangChain + LangGraph agentic flows behind FastAPI, running on Temporal: versioned, monitored, observable. We do not sell no-code platforms; we deliver scalable, audit-ready software.

Question 2

How much does a process automation project cost?

Accepted Answer

Simple 1-3 step workflow (e.g. form → CRM → email): €300–€1,300. Mid-complexity multi-system integration with error handling: €1,300–€6,600. AI-driven complex automation (e.g. invoice processing with OCR + AI classification + approval flow): €6,600–€26,300. Maintenance €100–€400 / month (API change tracking, monitoring). ROI typically 3-9 months.

Question 3

What is the difference between RPA and AI automation?

Accepted Answer

RPA (Robotic Process Automation) runs a robot that clicks like a human in an existing, often legacy system (SAP GUI, banking terminal, Excel). API-less, screen-level automation. AI automation works with actual understanding: it reads an incoming document, categorises emails, generates quotes. The pragmatic approach: API integration where possible (fast, reliable) → AI where decisions are needed → RPA only when no API exists. RPA is often a temporary solution while waiting for an API.

Question 4

Why Python + LangChain instead of n8n / Make / Zapier?

Accepted Answer

No-code platforms (n8n, Make, Zapier, Power Automate) are fine for prototypes and trivial integrations, but they fail in three ways at enterprise scale: (1) not version-controlled, not unit-testable, so every change is a risk; (2) limited scalability and observability, breaking at 100k+ flows / day; (3) AI integration is shallow, agent logic cannot be orchestrated with precision. Our approach: Python + LangChain / LangGraph + FastAPI + Temporal. Everything in code, in Git, with CI/CD and monitoring. Long-term, this is the responsible choice.

Question 5

How do I start a process automation project?

Accepted Answer

(1) Process audit: list weekly recurring manual tasks and the time they consume. (2) Prioritise: pick the 3 most time-consuming, error-prone processes. (3) MVP automation: start with one, with a quick (1-2 week) automation pilot, and prove the concept. (4) Measure: time saved, error reduction, ROI. (5) Scale: build on the success. We offer a free audit: 30 minutes of questions and we tell you which 3 processes to start with.

Question 6

Can you integrate with Hungarian software? (Számlázz.hu, Billingo, NAV, KulcsSoft)

Accepted Answer

Yes. Számlázz.hu, Billingo, NAV Online Invoice 3.0, KulcsSoft, RLB60, Nexon, Octopus, Vector ERP and many other Hungarian systems are everyday integration targets for us. Where no official API exists we use a custom scraper or RPA. Typical Hungarian workflow: incoming invoice (email / PDF) → OCR + AI recognition → Számlázz.hu or Billingo → bookkeeping system → approval workflow → automated payment instruction.

Question 7

What is an AI agent in automation?

Accepted Answer

An AI agent is an autonomously-deciding software unit that receives a goal (e.g. 'process this invoice') and breaks the goal into steps, decides which tool to use, and executes. Traditional automation: 'if X then Y'. AI agent: 'here is a task, solve it as you see fit'. Typical use: complex document processing, customer escalation, quote generation, research. Frameworks: LangGraph, CrewAI, AutoGen. We work with all three.

Question 8

Process automation vs. ERP development: what is the difference?

Accepted Answer

An ERP is a closed, integrated system that consolidates your entire operation (sales, inventory, finance, HR) into one. Process automation builds bridges between existing systems: e-commerce ↔ accounting ↔ inventory. Often the right path is ERP development AND process automation: the ERP is the core, but a few external tools (e-commerce, marketing tool, BI dashboard) are connected via automation.

Aspect	RPA	AI / API automation
How it works	Screen-level click emulation	API + LLM-based understanding and decision-making
When to use	Legacy systems without an API	Modern systems with documented APIs
Robustness	Broken screen = broken flow	API-level, structurally stable
Maintenance	High - every UI change is a risk	Low - contract-stable APIs
Scaling	Limited (machine-bound, sequential)	Horizontal, parallel workers
Audit / observability	Screen-recording style	Structured logs, traces, replay
Typical stack example	UiPath, Power Automate Desktop	Python + LangChain + FastAPI + Temporal

Enterprise process automation on Python + LangChain

What do we automate most often?

Invoice processing

Lead routing & CRM sync

Cross-system data sync

Document processing (OCR + AI)

Customer support automation

Reporting & executive dashboards

Picking the right tool for the job

RPA vs. AI automation - when to use which?

Process automation: frequently asked questions

Related solutions

System integration

Custom ERP development

Custom CRM development

Ready for the process audit?