
Robotic Process Automation
in the Public Sector
December 6 & 13 | 10:00 AM – 2:30 PM EST | Online
Training Overview
Connecting the dots between objectives, capability and transformation in Government
By 2024, 75% of public sector organisations are expected to have at least three hyperautomation initiatives launched or underway. RPA is a critical part of this modernisation journey.
This focus on automation will come as no surprise to public sector executives and change agents. RPA has been a embraced on a large scale because of its ability to streamline and optimise processes, freeing up staff to work on more complex value-added activities. The projected ROI of automation initiatives has long lasting positive impacts, including improved data quality and user experience.
However, it is estimated 30-50% of RPA projects fail globally. Poorly defined business processes; insufficient understanding of business capability, lack of governance, stakeholder resistance and low adoption and lack of flexibility are to blame.
This online course has been designed to provide corporate services executives with frameworks and tools to pre-empt the obstacles, evaluate the gaps in capability, uplift governance and improve data quality.
This short course is designed for public servants who are currently looking to advance RPA and automation project across the organsiation. By it will focusing on the weakest links in automation, it will teach you pre-empt and prevent the biggest hurdles and our experienced trainer will provide you with the insight to set you up for success.

Who Should Attend
This course is designed for managers, leads and and analysts in charge of transforming the government including:
Corporate Services,
IT & ICT and
Project Management
People and HR Services,
Finance & Accounts Payable and
Digital & Business Transformation
Project Manager and Leads driving the implementation of ERP, CRM and other software upgrades
Learning Outcomes
Understand Data strategy and its role in RPA and AI and build insight into Automation and RPA tools and technology
Learn what good looks like with RPA and the key elements to achieve that
How to apply Capability and Maturity Modelling and creating a Roadmap for your RPA journey
Gain a big-picture view, and look beyond siloes to pre-empt obstacles in your automation journey
Meet Your Facilitator

Ludovic Bocken
Meet Ludovic Bocken, a visionary researcher and developer who has been driven by the deep desire to innovate in our knowledge society for the last 30 years. Trained in philosophy, linguistics, didactics, cognitive computing, artificial intelligence and natural language processing, his passion for designing solutions that serve the public interest has led him to deep dive into research about Wikipedia for which he received several scholarships. Previously, he taught French communication to managers, professional communication, methodologies, and project management for economics students in public relations and business computer science.
He developed data-driven e-learning solutions for higher education and universities, as well as worked in research and development for the IT industry and several public companies as a data scientist, a machine learning engineer, and a client engineering lead. Today, Ludovic’s focus lies on project management and digital leadership models to design the best solution architectures for cognitive cloud computing. With a
life that has taken him across three continents – Africa, Europe, and America – Ludovic’s diverse background is reflected in his genetics, with ancestors from all over the world. His thirst for adventure and
challenge is evident in his goal of completing his first sprint triathlon before turning 50.
But Ludovic’s biggest dream is to direct a science fiction movie as good as “The Matrix.” With his wealth of experience and knowledge, Ludovic is proud to share his expertise with public sector professionals, making him a valuable asset to anyone looking to shape the future.
Key Sessions
Introduction to RPA, AI and Data Strategy:
Architecting a Data Strategy to Advance RPA
- The Superpowers of AI and Data
- The importance of a data strategy
- An example of a Data Strategy
- RPA as central to the delivery of strategy
The Key Elements for RPA to Succeed
- An Introduction to RPA
- Process automation in digital transformation
- Benefits of combining RPA with traditional BPMN
methodologies - Will bots and AI take my job?
Planning for Success:
Key Elements for RPA to Succeed
- 6 elements of a Successful RPA program
- Need for an RPA strategy
- Essential skills for RPA success
- Involving the workforce in identifying process improvements
Activity: Capability Modeling for RPA
- Establishing a high-performance RPA capability
- RPA maturity assessment
- Capability maturity model
- RPA and Automation tools and technology
- Assessing, analyzing, and monitoring
Creating a Roadmap:
Creating a Roadmap
- Creating an RPA strategy
- Deep dive on the RPA stream in the Strategy
- How to measure RPA success: Business metrics
Identifying the Key Gaps
- Top RPA challenges
- Key checkpoints for RPA implementation
- Why RPA fails to meet business expectations
- Overcoming challenges and bridging the gaps
Case Studies and Practical Exercise:
RPA Case Studies
- What does good look like with RPA
- Case studies; Government Procurement and Finance Automation
Practical Exercise
- RPA Maturity Model Assessment
- RPA roadmap for your organization
Getting your Data Ready for RPA
- Improving Data Quality
- Assessing current data quality: The questions that need to be asked to discern the level it’s at
- Understanding the importance of format, meta data and data trees
- Building literacy
- Establishing a Data Governance Framework
- Defining key roles and responsibilities
- Data lifecycle: What data needs to be governed
- Improving access, quality and privacy
Next Steps: Advancing your RPA Journey
- RPA and Automation Tools and Technology
- Discuss and evaluate automation and RPA tools: Usability, Accessibility, Interoperability and Scalability
- Exploring low code platforms
- The pros and cons of common and popular platforms
- Assessing, Analysing and Monitoring
- Embedding RPA as BAU
- Monitoring solutions and analysing the performance data to
- Identify areas for improvement and discussing plan to scale
Registration
Extra Early Bird
until September 2
$595
per person + GST
Early Bird
until November 3
$795
per person + GST
Regular Pricing
$995
per person + GST
Interested In Learning More?
