Robocorp Implementation for Open-Source RPA with AI
Imagine your procurement department drowning in PDF invoice processing, while developers have been promising an RPA bot on UiPath for a year, but licenses haven't been approved. That's a familiar situation. We replaced UiPath with Robocorp in three retail and logistics companies — the RPA budget dropped 5–10 times, and development speed tripled.
Robocorp is a developer-first RPA platform based on Robot Framework (Python). Unlike UiPath/AA, Robocorp targets developers: code in Git, CI/CD, testing like in regular software development. The open-source core (Robot Framework, RPA Framework) is free, and Robocorp Cloud orchestration costs significantly less than enterprise alternatives.
Why Code-Based RPA Wins Over GUI Alternatives
Versioning and code review. Any robot change becomes a pull request with code review, just like in a regular dev team. Rolling back changes is a single git revert. In UiPath, workflow changes are non-deterministic, and debugging is complex.
Testability. Robot Framework supports BDD syntax, unit tests in Python, and integration with pytest. We achieved 85% code coverage on a typical project — something we haven't seen in GUI RPA.
Integration flexibility. A robot can call transformers.pipeline, run a LangChain Agent, or deploy spaCy for NER — all standard Python imports. No paid activity packages needed.
| Criterion | Robocorp | UiPath/AA |
|---|---|---|
| Development language | Python | GUI + VB.NET/C# |
| Versioning | Git + PR | Poorly supported |
| Testing | Robot Framework + pytest | Built-in but weak |
| AI integration | Any Python ML library | Limited ML activities |
How Robocorp Solves Real Business Problems
Problem 1: Maintenance complexity of GUI robots. In one retail chain, UiPath robots broke with every ERP update. Migration to Robocorp: Python code, test coverage, CI/CD — failure rate dropped from 30% to 2%.
Problem 2: Handling unstructured data. Invoices in PDF with different templates. Previously: OCR + manual verification. We trained a model on an invoice dataset and deployed Document AI with a fallback to LayoutLMv3 in the robot. Extraction accuracy: 92% vs. 60% with UiPath Document Understanding.
Problem 3: Scaling without exploding license costs. An additional robot in Robocorp Cloud is 4x cheaper than in UiPath (comparing unattended robots). If peak load requires 50 robots for 2 hours, we simply scale parallel sessions.
How a RAG Pipeline Works in a Procurement Automation Project
For one client (a large logistics company with 1,200 suppliers), we deployed a hybrid RAG pipeline. The Robocorp robot parses incoming invoices from SAP, runs them through Document AI (OCR + LayoutLMv3), then a LangChain agent verifies details via state API and EGRUL. The vector database ChromaDB stores template embeddings, enabling automatic invoice classification 95% of the time. Only 5% of complex cases go to human-in-the-loop. Document processing time dropped from 15 minutes to 40 seconds.
Implementation Process: 2–8 Weeks Turnkey
| Stage | Duration | Result |
|---|---|---|
| Analysis | 3–7 days | Technical process audit, migration/creation plan, E2E pilot scenario tests |
| Design | 1–2 weeks | Robot architecture, vector DB selection, RAG model, few-shot prompt design |
| Development | 1–4 weeks | Robot code in Python + Robot Framework, unit tests, integration with 1C/SAP/web |
| Testing | 3–5 days | QA in staging: edge cases, A/B testing against current procedure |
| Deployment | 1–2 days | Robocorp Cloud / self-hosted Control Room setup, CI/CD pipeline (GitLab Actions + Docker) |
| Training | 2–3 days | Workshop for developers and operators: writing new robots, troubleshooting, debugging |
Each stage includes documentation and access rights transfer. Official Robot Framework documentation serves as the baseline for training.
What's Included in the Work
Robust pipeline: robots meeting NFRs (p99 latency < 30s, throughput up to 500 requests/hour). MLOps infrastructure: model cards for used models, drift monitoring, A/B experiments. Security: Robocorp Vault for secrets, encryption at rest and in transit, role-based access. Warranty: 3 months of free support after deployment, SLA for bug fixes — 24 hours.
We are a team with 5+ years in AI/ML, 30+ RPA and NLP projects. We've contributed to open-source libraries for Robot Framework. License cost savings when switching to Robocorp reach 80%, with an ROI from 6 months.
Get a consultation: we'll assess your process in 2 days, propose a plan and timeline. Order implementation — save time and money without sacrificing quality.