Robotics & Intelligent Automation – Scaling

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Presentation transcript:

Robotics & Intelligent Automation – Scaling A Digital solution to automating transactional work that empowers valuable labor and improves operational efficiency April 24, 2019

Robotic & Intelligent Automation encompasses the next wave of automation capabilities, going beyond simple software macros Robotic & Intelligent Automation Process Robotics (RPA only) Advanced Artificial Intelligence Scripting / Macros Cognitive Automation “Sequence of computing instructions available to the end user” “Combines Intelligent OCR, RPA, Cognitive Automation, and Intelligent Chat to automate processes” “Mimics Human actions using RPA software” “Mimics Human Intelligence” Robotic & Intelligent Automation (R&IA) moves the Public Sector further along the AI spectrum

R&IA add a fourth ‘Digital Personal’ to the ‘Total Workforce’ of tomorrow Staff / Analysts Contract Support Leadership Nature of work Data Gathering Data Using Time spent on work Represents ‘Digital workforce’ Freed from transactional work, we can spend more time analyzing data, making informed decisions, & innovating! R&IA ‘Digital Workforce’ As the newest member of the ‘Total Workforce’ I can handle transactional work, unstructured data ingest & insight generation. Represents reallocation of human workforce Shifting workforce towards using data as opposed to gathering

Automation robots, or “bots”, have proliferated in the public sector as agencies quickly accept and leverage this new capability Masked Client Names Converted Vendor count to % instead of # and eliminated * caveat

There are a wide variety of agencies and process functions able to take advantage of these new digital labor sources Masked Client Names Converted Vendor count to % instead of # and eliminated * caveat

Lifecycle of a Bot Project

Stakeholder Engagement There are a wide variety of agencies and process functions able to take advantage of these new digital labor sources Phases Initiate Design Develop Test Transfer Operate Project Work Plan Automation Suitability Process Metrics Map Process Future State Process Governance Path to Scale Process Design Documentation Build Automation Audit Logs Test Cases Documentation Training Plan Test Solution Troubleshoot Errors Deploy Changes Refine Business Case Lessons Learned Production Testing Regression Testing Implementation Plan Production Automation Dashboard O&M Managed Service Primary Tasks Masked Client Names Converted Vendor count to % instead of # and eliminated * caveat Provide advice, guidance and technical evaluations Stakeholder Engagement

Scaling Process Robotics

Introduction to Scaling Process Robotics Many organizations that get started with bots often hit a wall when figuring out how to scale bots appropriately. Demystifying Scaling. The Facts. The same level of effort required to standup your first 5-10 bots is not cost efficient for long-term scaling. The development of the automation is usually the easiest part of the overall process. The additional time needed for the first 5-10 bots is usually tied to extensive reviews, participation of too many stakeholders, and unnecessary documentation. Formal documentation, review cycles, and people’s involvement should get easier over time. Faster bot building and deployments will vary with process complexity – but speed should be the goal.

Scaling Bots The following table discusses the differences between the initial bots your organization develops and what should be used when you truly begin to scale bots. Process/Document First 5-10 Bots Scaling Process Definition Document Templates confirmed Detailed reviews Regular updates to POCs Signoffs delayed Template finalized Process documented in 1-2 business days Review/signoff by Process Lead only Updates pushed to change requests post- deployment Testing Detailed test scripts developed Real-time updates to test scripts during UAT Continuous development Test scripts built as part of the PDD Test scripts/data locked down and signed off during PDD development Reviews Continuous reviews by process leads, leadership, governance boards, IT, and more Governance board reviews to determine if process is a good automation candidate Reviews by the Process Owner at set points in the development process Software/Process Authority to Operate (ATO) or Authority to Test (ATT) ATOs/ATTs required for the robotics software, process, and systems the process touches ATOs/ATTs not required for every automation Annual review/refresh of the ATO/ATT for audits IT Environment Extensive setup required Defined processes on capacity and workload management IT Environment is established with minimal updates required New processes are deployed quickly

Scaling Roadmap Overview Five key stages define minimum requirements and additional considerations for an organization as they progress through the scaling roadmap 1 - 5 5 - 10 20 - 50 50+ 10 - 20 [Organization] Progress # of automations* Scale Across the Enterprise Engage Pilot Preparing to Scale Managed Capability Identify stakeholders RPA 101 Roadmap Technology assessment Engage IT Assess and select process(es) RPA Software Develop bot(s) Initial O&M plan for bot(s) “Enterprise” Solution RPA Governance Engage Security and Review Boards Standard process Development Approach Training plan Finalize hosting Abridged process documents Contracts for surge staff Deploy O&M plan Workforce Transformation “Enterprise” Approach Marketing/ communications Lessons learned Track metrics Introduce new technologies Insert organization name above the star; align the star with the associated progress made at the organization. Show slides for each roadmap category based on the organization’s progress Potentially add technical set up to the pilot phase and getting more technical feedback, potentially take the the “attended piece” *The bot range scale is used for reference and may not directly reflect the number of automations deployed.

What should we do next?

Confirm, strengthen, and then transition to scale As lessons are learned from the first five-to-ten bots, the process for deploying automation within the organization should get easier and more routine Pilot Phase At Scale Process Design Documentatio n Develop process architecture with outlines for each system and keystroke Streamlined development PDD developed for scale Technology Deployment Approval of software and TRB review Deploy software on single laptops Rapid technology deployment through selected hosting mechanism Process Selection Conduct OMA with initial key stakeholders Select simple process to prove out capability Self selection and submission to RPA oversight committee Continuous process intake and assessment Automation Development Select pilot or pilots to develop initially Development concludes with testing and business case construction for future automations Automations are developed on a continuous basis using agile methodology We don’t want to overcook this but we want to give them an idea of where they are in the journey Everything you’ve learned about RPA  you have to change that thinking to get to scale (PDDs have to get simpler, processes need to be streamlined) are you really ready to scale. So potentially have a two column table (Full PDD  steamlined PDD). Potentially could have a word cloud at the end with the big points

Focus on customers, especially the user experience What should you do… now! If you haven’t started… If you have started… Breathe… Take one step at a time Start small… Pick a process… Pick a vendor… Kickoff a pilot… Pat yourself on the back… Evaluate your pilot… Review your technical setup… Begin thinking about governance… Setup a Center of Excellence… And don’t forget… Focus on customers, especially the user experience Don’t over-promise Show, don’t tell Reassure your people We don’t want to overcook this but we want to give them an idea of where they are in the journey Everything you’ve learned about RPA  you have to change that thinking to get to scale (PDDs have to get simpler, processes need to be streamlined) are you really ready to scale. So potentially have a two column table (Full PDD  steamlined PDD). Potentially could have a word cloud at the end with the big points