Why is it so hard to scale your rpa program going from poc to hyperautomation
0 likes571 views
The document discusses the rapid growth and adoption of Robotic Process Automation (RPA), emphasizing the challenges organizations face in scaling their RPA programs. Key barriers include failing to establish clear goals, underestimating operational complexities, and difficulties in securing resources. Despite the significant investment in RPA, many organizations struggle with successful and timely implementation, often getting stuck at automating fewer than 10 processes.
Why is it so hard to scale your rpa program going from poc to hyperautomation
- 1. 1
- 2. Sources: - Forrester: The Future of Work – A Pandemic Spotlight - PwC CFO Pulse Survey, 2020 - Gartner The adoption of RPA is accelerating at a faster rate than any other enterprise software in history… Nearly 50% of the organizations will increase RPA spent over the next year due to COVID-19 The main goals for the RPA investment are: 83% - Increase agility, diversity, & resiliency 80% - Address extraordinary cost pressures 75% - Support remote workforces RPA software market grew 63% in 2019 to $1.4B and will reach nearly universal adoption by 2023 While 80% of CFOs are implementing cost containment initiatives, only less 20% will be cutting out digital transformation investments
- 3. 3But still, most organizations are struggling to successfully implement RPA at scale… Sources: - SSON State of Shared Services Industry Report 2020 - Deloitte Survey, The Robots Are Ready, Are You? 65% of the organizations have not been able to automate more than 10 processes 63% of organizations do not meet delivery deadlines for RPA projects. For the ones that succeeded, longer-than-anticipated implementations delayed ROI. Only a tiny minority (3%) of progressive organizations have reached any form of scale with more than 50 processes in service
- 4. Have the disruptions caused by Covid-19 accelerated the need for process automation in your organization? 1. Yes, we were already implementing RPA before COVID and now planning to accelerate 2. Yes, we are now in the process of getting started 3. Yes, we have a pressing need for automation but not the budget 4. No, we had started implementing RPA and it was put on hold 5. No, process automation is not a priority
- 5. 5 The question is…Why is it so hard to scale an RPA program?
- 6. 6 Many Organizations Do Not Begin With The End Goal in Mind… What are the business drivers you are seeking to get with RPA? Cost Reduction Scalability Agility Real-Time Reporting FocusOne Version of the Truth Touchless Transaction Processing Quality & Controls Customer & Employee Experience
- 7. 7 4 Key Pillars to Effectively Achieve RPA Adoption MostCommonPitfalls Realistic Expectations Executive Alignment Trust the Technology Capturing the Value =+ + + Organizational Adoption • 100% automation should not be the target • Underestimating operational complexities • Dependencies on external applications • Not every process will have a payback of less than 12 months • Lack of talent and experience • Poor process design • Unresolved exceptions • Automations that create more work • Lose trust and credibility from the operations team • Scope management • Never ending implementations • Implementation cost overruns • Commitment to change • Organizational impatience • Loss of sponsorship • Stalled automation program • Starting the journey without a clear vision • Attempting to boil the ocean • Limiting the benefits of RPA to just cost savings 01 02 03 04
- 8. What is the primary challenge that is impacting your ability to scale your automation program? 1. Finding the right resources to execute the program 2. Performance issues with my current RPA partner 3. Getting funds and proving ROI 4. Selecting additional processes to scale the program 5. I am not facing any challenges
- 9. 9 From POC to Industrializing RPA across the organization… Why do most companies get stuck under 10 processes? Most organizations jump directly into a POC to test the technology before understanding the true potential impact of automation within the organization. This leads to stalling automation programs and lost credibility from the operation Where do you start? Proof of Concept • Picking the right process to prove the value POC candidate selected based on your key business drivers: • Cost Reduction • Efficiencies & Scalability • Cycle Times • Customer Satisfaction • Revenue Enablement • Controls • RPA Architecture Definition • Full Production Robots • Lessons Learned What’s the end goal? RPA Strategy & Vision • What are your main drivers for implementing automation? • What are the key tools and technologies that get you to where you want to be? • RPA • Artificial Intelligence • Process Mining • What are the best process candidates within your organization? • What is the potential business case? • How should you prioritize? How do you industrialize it? Operating Model Definition & Expansion Ongoing Support & Continuous Improvement How to ensure long term benefit? • Qualified ongoing support team: • 24x7 Maintenance & Support (Based on SLA) • Structured issue tracking and resolution process • Benefit quantification and reporting • Continuous Improvement: • Measured automation performance • Preventive maintenance • Automation enhancement based on new technologies Overlooked or Incomplete Complete but partially successful Ad-hoc, non-scalable support model Further investment gets stalled Most organizations are getting stuck here… • Operating & Governance Model Definition • RPA CoE – In-house vs. Hybrid • SLA Definition • Performance Management Framework • Opportunity Evaluation & Prioritization • Implementation Roadmap • Business Case • Ensure access to the right talent • Business Analysts • Solution Architects • Developers • Infrastructure Support
- 10. How many processes have you been able to automate with RPA? 1. None 2. Less than 10 3. 10 to 20 4. 20 to 50 5. More than 50
- 11. 11Building the right implementation capabilities for the first wave of automations will drastically improve your chances for success Automation Sponsor: Initiates the idea of automation, underwrites resources and protects progress into business adoption Automation Infrastructure Engineer: In charge or Server installations and troubleshooting Automation Solution Architect: In charge of defining the Architecture of the automation solution. Guardian of the end to end performance of the solution agreed Automation Developer: In charge of designing, developing, and testing the automation & analytics artifacts Automation Champion: • Imprints the RPA vision and mission within the organization • Acts as an internal Evangelist for automation • In charge of ensuring a healthy automation pipeline • Head of the operational management of the virtual workforce Automation Change Manager: In charge of creating a change and communication plan which is aligned to the project deliverables, in order to ease the automation adoption within the company Automation Business Analyst: • Process Subject Matter experts located in Business Operations • In charge of creating the process definitions and process maps used for automation Automation Operator: • Administers, orchestrates and controls the virtual workforce in operational environment • Focused on continuously improving the robots operational performance Automation Service Support: First line support for the automation solution deployedOPERATIONS TRANSITIONS TEAM BUSINESS PROCESS REENGINEERINGSKILLS BUSINESS CHANGE SKILLS OPERATIONAL SKILLS IT DEVELOPMENT SKILLS LEAN DEVELOPMENT SKILLS *The Robotic Operating Team or Centre of RPA Excellence is fundamentally a cross functional team with the clear objective of deploying the RPA automation on a global basis as quickly, as efficiently and as safely as possible Regardless of whether you staff these skills internally or through a partner, you will need them to implement RPA right:
- 12. 12The Value of Partnering with an RPA Expert 63% of Organizations Engage With an RPA Implementation Partner… In-house 1. • Implement – Internal • Operate - Internal Hire Digital Transformation Consultants to support the transition 2. • Implement – External Support • Operate - Internal Hybrid (MS + In-House) 3. + • Implement – External Support • Operate – External Support • Self-funded innovation, fastest time to benefit & adoption • True refocusing of internal organization to higher value work • Risk is more cultural than operational • “Lowest” cost • Highest risk • Slower adoption • Reduced risk • “Highest” cost • Accelerates adoption?
- 13. Do you agree that working with an external partner can help you accelerate your automation journey? 1. Strongly Agree 2. Agree 3. Neutral 4. Disagree 5. Strongly Disagree
- 15. 15 Galls Automation Story: The Importance of a Clear Vision
- 16. 16 The Benefit of Partnering with an RPA Implementation Expert
- 18. 18 RPA Mistakes to Avoid
- 19. 19 The Challenges of Operating RPA At Scale
- 20. 20 Going beyond RPA… Key Components of your Hyperautomation Journey
- 21. 21 #1 Gartner Top 10 Strategic Technology Trend for 2020: Hyperautomation Source: “Gartner Top 10 Strategic Technology Trends for 2020,” October 21, 2019. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/" RPARPA Machine Learning Long-Running Workflows Process Mining Native Integrations Advanced Analytics AI skills (NLP, AI Computer Vision, Intelligent Optical Recognition)
- 22. 22 The UiPath Platform Allows you to Manage Your end-to-end Hyperautomation Journey from Discovery to Measurement Plan Discover what to automate with process mining powered by AI Professional developers, citizen developers, and employees create automations Securely deploy and manage automations from anywhere, at scale Robots work with your applications and your people to carry out automations People and robots work together to automate complete processes Embedded analytics give you deep insights into business metrics, not just robot metrics Discover Build Manage Run Engage Measure Automation Hub Process Mining Task Capture Task Mining Action Center Chatbots Insights The Basics - Main focus for initial RPA Programs StudioX Studio Orchestrator Cloud Platform Attended Robots Unattended Robots AI Fabric Test Manager AI Robots Testing Robots Manual, time- consuming process Humans in the loop What is not measured does not existMaking AI a reality Studio Pro
- 23. How far have you gone the path of implementing other Intelligent Automation technologies beyond RPA? (e.g. NPL, Machine Learning, AI, Process Mining, etc.) 1. Have not started at all 2. In the process of evaluation 3. Starting to pilot some additional technologies 4. Have broadly implemented multiple IA solutions beyond RPA
- 24. 24 Q&A
- 25. Would you like to schedule a consultation with Auxis to explore ways to support your automation program? 1. Yes 2. No
- 26. Thank you for joining us today! Eduardo Diquez Intelligent Automation Director Auxis Eduardo.diquez@auxis.com Jim Dugan Chief Revenue Officer Galls Dugan-Jim@galls.com Chet Chambers Chief Evangelist UiPath Michael.chambers@uipath.com Eric Liebross Sr. VP Business Transformation Auxis Eric.liebross@auxis.com Thank you to our sponsors: