65%
automation rate on contact centre workflows
NOS
80%
reduction in document processing costs
Sonae Sierra
6–12
weeks from kickoff to production deployment
GenOS delivery model
Why GenOS
What makes GenOS different from UiPath
01
Unstructured inputs. That is where GenOS starts.
UiPath is exceptional for structured, predictable inputs: forms, databases, fixed-schema APIs. GenOS starts where UiPath needs help: PDFs with no fixed schema, customer emails, voice transcripts, and mixed documents that require language understanding before automation can happen.
02
No fragile screen selectors to maintain
UiPath bots break when application UIs change. GenOS agents read documents and understand language. There is no UI dependency to maintain. Your supplier changes their invoice layout. The system adapts. No rewrite required.
03
Most enterprises run both
UiPath handles structured back-office rule automation. GenOS handles document intelligence, customer-facing agents, and the judgment calls RPA cannot make. They operate on different layers of the same workflow.
Why switch to GenOS
Teams choose GenOS over UiPath when
- Your inputs are unstructured: PDFs, emails, handwritten forms, voice recordings
- The workflow requires understanding, interpreting, or classifying language
- You need a knowledge retrieval layer alongside the automation
- Your process has high exception rates that require judgment, not rules alone
- You want to reduce maintenance overhead: RPA bots break when UIs change; GenOS adapts
- Governance of AI decisions, not just workflow logs, is a compliance requirement
Feature by feature
| GenOS | UiPath | |
|---|---|---|
| Automation paradigm | AI-native: language models process and route; deterministic rules where needed | RPA-native: robots drive software interfaces following explicit, coded rules |
| Unstructured input handling | Built for unstructured inputs: PDFs, emails, voice, mixed documents | Requires structured or semi-structured input; struggles with free-form documents |
| Language understanding | Native NLU via LLMs: classify, extract, summarise, interpret intent | Minimal NLU; relies on pattern matching and structured data extraction |
| Rule-based automation | Supported via deterministic pipeline steps and tool integrations | Best-in-class: deep rule engine, conditional logic, scheduler, and orchestrator |
| Legacy system integration | API and document-based integration; no screen scraping | Screen scraping and UI automation for any software, including legacy systems with no API |
| Maintenance overhead | Low: LLMs adapt to input variation; no brittle UI selectors to maintain | High: bots break when application UIs change, requiring ongoing bot maintenance |
| Exception handling | AI routes exceptions with context; human-in-the-loop workflows built in | Exception queues available; context passed to humans is limited to structured fields |
| Governance and audit trail | Audit logs for every model call, decision, and action with reasoning context | Workflow execution logs; audit trail covers what happened, not why |
| Knowledge retrieval | Integrated RAG: automation plus access to the right knowledge at each step | No knowledge retrieval capability; external tool required |
| Time to deploy | 6–12 weeks with a Forward Deployed Engineer for a scoped production workflow | Varies widely; simple bots in days, complex workflows in months with SI help |
Frequently asked
What is the difference between GenOS and UiPath?
UiPath drives software interfaces with coded rules and is built for structured, predictable inputs. GenOS understands language: it reads the PDFs, emails, and conversations that break brittle bots, then automates the workflow around them, governed end to end.
Can GenOS replace our RPA bots?
For workflows driven by unstructured inputs or judgment, yes, and with less maintenance, because there are no screen selectors to break. For rigid, fully structured rule automation, UiPath remains strong. Most enterprises run both on different layers of the same workflow.
Does GenOS need bot maintenance like UiPath?
No. UiPath bots break when application interfaces change. GenOS agents read documents and interpret language, so a changed invoice layout does not require a rewrite. Maintenance overhead is materially lower.
Bottom line
RPA is built for structured, predictable inputs and breaks when the screen or document changes. GenOS reads unstructured language natively, adapts without a rewrite, and governs every decision it makes. The work is understanding documents and intent, not clicking through fixed forms. GenOS is the platform.
See in practice
Next step
Book a working session. We run it in your environment, on your data.