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RPA (BASe (Process Mining, RPA, BPMS / iBPMS, Digital Workforce,…
RPA
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RPA Defined
Benefits
Main Benefits
- Increase accuracy, consistency and speed
- handle repetitive, low value tasks inexpensively
- reduce human capital costs
- Instantly scale up/down to meet demand
- Work gets done 24/7
Side Benefits
- Potential for rapid ROI
- ease of deployment (attended versus unattended)
- New analytics and insight
- job satisfaction, less monotony, move employees to higher order of work
- Fully digital audit trail
- Business lead implementation / less IT involvement
Challenges
Business Challenges
- Choosing the right processes to automate
- Setting realistic expectations
- Employee resistence
- Finding the right balance of IT involvement
- Process & Robot Governance
- Look for revenue generation and CX opportunities
Development Challenges
- Robot Maintenance / Central Control
- Unattended versus Attended
- Tools dependance on script development
- Script organization
- Change Management
- Finding the right balance of IT involvement
Use Cases
Process Attributes
- Process Attributes for best fit
- repetitive
- rules-based decision making
- standardized, stable
- consistent data entry, well defined series of steps
- high volume
- Inputting and/or synchronizing data between multiple systems
- Checking data entry work of others
- Data migration, ETL
Shared Services
- procure-to-pay, quote-to-cash, human resources administration, claims processing, and other
- back-office direct and channel customers. Mostly backoffice
Industry Types
- RPA is not restricted to any specifc function or industry
- Good Fits are regulated industries with high volume and/or transactional business processes
- Typical Industries: Banking, Insurance, Legal, Health
- Typical business areas: Accounting, Procurement, Contact Center
RPA Goal
RPA tools are designed to mimic the same "manual" paths taken by a human by using a combination of user interface (UI) interaction or descriptor technologies
RPA Tools
Future Direction - iPA Advanced Analytics
- Predictive analytics - automated decision making
- Cognitive Analytics - automate judgement work on unstructured data
- leading to a digital workforce
RPA Capabilities
- Bot development and core functions
- Control room, system management, reporting, and resilience
- Attended and Un-attended mode
- RPA analytics
- Links to AI
- Dashboards
- Ease of scripting
- Architecture
- Deployment, governance, and security
Top Tools
- Automation Anywhere
- Blue Prism
- UIPath
Drivers
Primary Drivers
- Better RPA tools available driving demand
- Desire to handle more tasks in a more efficient manner
- Desire to grow while keeping expenses low
- Improved CX
- Legacy systems that are hard, expensive and/or risky to change
Other Drivers
- Labour arbitrage has been exhausted
- Customer expectations
- Competition
- Employee Satisfaction
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