RPA — Robotic Process Automation
Robotic Process Automation (RPA) describes software robots that mimic human interaction with applications — clicking, typing, reading screens — to automate repetitive tasks. RPA peaked in attention around 2018-2020 as a quick-win automation play; since 2022 it has converged with AI and broader hyperautomation platforms. For ERP-centric organizations, RPA remains a useful tool for filling automation gaps where APIs are not available or where legacy systems interact with modern ERP.
Common ERP-adjacent use cases
- Supplier-invoice processing — reading invoices, validating against POs, posting to AP. Today often replaced by AI document processing
- Customer-order entry from email or PDF orders into the ERP sales-order screen
- Master-data updates — bulk customer or supplier record changes across multiple systems
- Bank reconciliation downloading bank statements and matching to ERP open items
- Legacy-to-modern bridges — pulling data from an old AS/400 or mainframe screen into the modern ERP
- Report distribution — scheduled ERP report generation and email distribution to stakeholders
- Period-close tasks — scripted financial close checklist items
Leading RPA platforms
UiPath — market leader, broad enterprise presence across US organizations. Strong AI features through Document Understanding and recently Agentic Automation. Unattended cloud subscriptions run roughly $1,400-$1,500 per bot per month. Microsoft Power Automate Desktop — bundled into the Microsoft 365 ecosystem (free attended desktop flows on Windows 11, with Power Automate Premium for full RPA), gaining rapid market share as an entry-level option. Automation Anywhere (AA) — established enterprise platform, particularly in financial services. Blue Prism (now SS&C Blue Prism) — original enterprise RPA pioneer, particularly in banking and insurance. WorkFusion, NICE Robotic Automation, Pegasystems Robotic Automation — further enterprise options. Open source: Robocorp, OpenRPA, Robot Framework. For mid-market US operations starting RPA, Microsoft Power Automate is the most common entry point thanks to Microsoft 365 bundling.
Convergence with AI and IDP
The RPA market is rapidly converging with adjacent automation categories. Intelligent Document Processing (IDP): Rossum, Hyperscience, ABBYY FlexiCapture, Microsoft AI Builder handle invoice and order extraction with LLM-augmented accuracy — replacing classical RPA for these high-volume use cases. Agentic AI: UiPath Autopilot, Microsoft Copilot Studio, OpenAI Operators move beyond scripted RPA toward AI agents that adapt to changing interfaces. Process Mining + RPA: process mining identifies automation candidates; RPA implements them. Celonis EMS plus UiPath integration is the most-evangelized pattern. The practical implication for the US mid-market: do not over-invest in RPA scripts that AI document understanding will eat within 2-3 years.
Governance pitfalls
RPA suffers from the same governance challenges as low-code: easy to start, hard to operate. Unmaintained RPA bots accumulate across departments, breaking silently when underlying applications change. ERP upgrades regularly invalidate dozens of RPA scripts. Best practice: establish an RPA Center of Excellence (CoE) within IT, document every bot with its triggers, business owner, criticality and expected lifetime. Schedule quarterly reviews to retire bots whose use case has been automated through native ERP features or AI document processing. Treat RPA as tactical automation with explicit sunset planning, not as a permanent platform.