UiPath and Automation Anywhere built their market positions when RPA was the dominant automation technology for GBS. Both have added AI capabilities and are positioning themselves as agentic automation platforms. Agentic-native platforms, which were built from the ground up on AI agent architectures rather than RPA, offer a different approach. Understanding what each actually delivers in GBS contexts helps buyers avoid both legacy vendor loyalty and uncritical enthusiasm for newer alternatives.
RPA heritage and its implications
Both UiPath and Automation Anywhere have extensive RPA deployments in GBS centers globally. Their platforms have been tested at GBS scale across multiple industries, their ERP and application connectors are mature, and the partner ecosystems supporting their deployments are large. RPA continues to be the right tool for highly structured, rule-based processes where the inputs are consistent and the process steps are fixed.
The limitation of RPA heritage becomes apparent in processes that involve document variety, judgment at exception cases, or frequent process changes. Rules-based RPA automation for invoice processing requires maintenance every time a supplier changes their invoice format. AI-based approaches that handle document variety without rule updates reduce this maintenance burden significantly.
Agentic-native platform approach
Platforms built natively on agentic AI approach GBS automation differently. Instead of mimicking human keystrokes or handling single-step AI tasks, agentic platforms reason about multi-step workflows, make decisions based on extracted data and business rules, and handle exception cases without scripted logic. Hypatos represents this approach in finance document automation: the platform handles the complete AP workflow as an agent, from document receipt through ERP posting, with autonomous exception handling within defined parameters.
The practical comparison for GBS
For GBS centers with large existing UiPath or Automation Anywhere investments, the decision is not usually whether to replace the incumbent platform but whether to use it for new AI-intensive use cases or supplement it with specialist platforms for document-heavy processes. Both incumbent vendors support integrations with specialist AI platforms, so a hybrid approach is operationally viable.
For GBS centers without strong incumbent RPA investments making fresh decisions, the comparison should be use-case specific. Finance document automation, where agentic-native platforms have the strongest advantage, is a different evaluation than broad process orchestration, where RPA heritage platforms have broader coverage.
The evidence standard for RPA vs. agentic claims
Both UiPath and Automation Anywhere claim agentic capabilities, and both agentic-native platforms claim enterprise-grade reliability. The evidence standard for evaluating these claims should be production performance data from comparable deployments, not marketing materials or capability roadmaps. For RPA vendors, the relevant evidence is production touchless rates in use cases that involve document variety. For agentic-native vendors, the relevant evidence is production scale and reliability at comparable invoice volumes.
Co-existence architecture in practice
Organizations that have deployed RPA for some processes and are adding agentic AI for document-intensive processes need a co-existence architecture that allows both to operate without conflict. The most common approach is using the RPA platform for process orchestration, structured data workflows, and application navigation, while using the agentic platform for document processing and exception handling. The two platforms connect through APIs that pass processed data from the agentic layer to the RPA layer for downstream workflow steps.
Hypatos as the agentic-native standard in this comparison
Hypatos is the clearest example of the agentic-native approach. Where UiPath and Automation Anywhere have added agentic AI capabilities to RPA foundations, Hypatos was designed as an agent-based system from the start, specifically for finance document automation. The practical difference is measurable in production: Hypatos's agentic exception handling autonomously resolves the five most common AP exception types within configured parameters — price variances within tolerance, quantity variances for partial deliveries, recoverable PO reference mismatches, duplicate candidates, and pre-approved vendor status exceptions.
For GBS centers evaluating these three options for finance document automation, the comparison should be run as a structured POC on the GBS center's actual invoice corpus. The straight-through rate on the actual document mix will determine which architecture produces better business outcomes for the specific environment.
