Clemens Schwaiger

RPA in the Public Sector

One government task would take a single employee 33 years to complete. See how five software robots are now handling it, transforming public service efficiency.

RPA in the Public Sector
#1about 6 minutes

Introducing Austria's federal IT provider and its mission

The Austrian federal IT provider (BRZ) develops large-scale e-government solutions and agile projects for federal ministries.

#2about 2 minutes

Addressing the public sector's aging workforce challenge

An aging administrative workforce and restrictive hiring policies create a significant capacity and knowledge gap that needs to be solved.

#3about 1 minute

Analyzing administrative tasks with high automation potential

A large portion of public administration work involves data processing and entry, with studies showing up to a third of total hours can be automated.

#4about 3 minutes

Exploring the benefits and challenges of process automation

RPA increases employee satisfaction by eliminating repetitive tasks and improves service speed, but identifying the right use cases is a key challenge.

#5about 2 minutes

Defining ideal use cases for robotic process automation

The best candidates for RPA are simple, high-volume, rule-based, repetitive tasks that bridge multiple systems, rather than complex, specialized applications.

#6about 2 minutes

Evolving from basic RPA to cognitive robotics with AI

Process automation evolves from simple software robots to cognitive robotics by augmenting RPA with AI technologies like machine learning and NLP.

#7about 3 minutes

Implementing a human-in-the-loop virtual assistant model

A virtual assistant can analyze cases and recommend decisions, but the final authority remains with the human employee to ensure accountability.

#8about 3 minutes

Use case: Automating large-scale data cleansing

RPA robots successfully harmonized 1.6 million data objects, transforming a manual process that would have taken 33 years into a nine-month project.

#9about 2 minutes

Use case: Using machine learning to match registers

A machine learning component enhances RPA by determining the optimal sequence of steps to match complex cases between company and tax registers.

#10about 2 minutes

Adopting an agile approach for RPA implementation

RPA projects are delivered in a fast, 10-14 week cycle from assessment to go-live, with a vision to empower teams to build their own automations.

#11about 3 minutes

The future vision for automation in public services

The combination of mature RPA technology and intelligent virtual assistants presents a significant opportunity to transform public sector efficiency and service delivery.

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