UIPath RPA Adoption by U.S Government Agencies

The United States government’s executive branch continues to advocate and set the stage for robotic process automation (RPA) deployment. The government’s prompt acceptance of RPA automation programs indicates its capability. Presently, over 30 government entities are using UiPath to alleviate bottlenecks, resolve compliance concerns, streamline operations, and conserve valuable funds paid by taxpayers. 

UIPath RPA enables federal employees to serve individuals best while relieving them of tedious but vital tasks. It also offers opportunities for persistent learners to excel in administrative offices. Especially at a time when the governmental sector is anticipated to be most affected by the “silver tsunami,”  a.k.a the rapidly aging population.


Government Agencies are Adopting RPA at a Rapid Pace

RPA is transforming how the government operates. Any impartial evaluation will show that governments are utilizing RPA more expeditiously than any other innovation.

The United States budget for the fiscal year 2020 included RPA. A dialogue box highlighted RPA automation to draw attention to its significance. This addition to the expenditure complied with the President’s 2018 Management Agenda’s recommendation. The recommendation mentioned transferring individuals from low-value to more lucrative jobs.

The RPA Community of Practice was created at the GSA in the middle of 2019 and wasn’t designed to assess UIpath RPA. The RPA accomplishments are what motivated the RPA Community to step up and assist U.S. government organizations not presently employing RPA. The following are a few of the 70 UiPath RPA deployments

  • the GSA
  • NASA Shared Services Center
  • Air Force Personnel Command
  • Department of Housing and Urban Development (HUD)

Government RPA experts from various defense and non-defense agencies gathered to catalog automation best practices. Government organizations just starting to employ RPA automation can use these tips to speed up adoption.

RPA Automation Milestones 

According to Gartner, by 2024, 75% of governments are anticipated to have at least three hyper-automation programs established or in progress. 19% of federal participants are already using RPA according to the 2021 Gartner Digital Transformation Divergence Across Government Sectors Survey. And 33% plan to implement it within the next two years. The following are the main reasons why RPA is so prominent.

  • The process improvements it yields.
  • How rapidly it can pay off.
  • How organization can use it to automate legacy system activities. 

The federal reskilling initiative is demonstrating that when the employees are adequately retrained, RPA can be applied faster and further across government entities. This is more applicable when federal agencies reconfigure, restructure, and accommodate retirement plans.


UIPath RPA Automation Resolutions

Because of the emphasis on RPA by the government, UIPath extended the duration of their Academy Live hands-on workshop by two-thirds to 8 hours. As RPA begins to expand even further,  the workshop will assist non-technical staff members in comprehending how RPA integrates technology infrastructure. And how it instigates modern digital tools like artificial intelligence (AI), natural language processing (NLP), machine learning (ML), and virtual agents.

Seventy federal deployments of UiPath, all of which have been functional and are increasing, indicating that RPA is making headway in the effort to improve government.


In Conclusion

RPA is gradually revolutionizing governmental processes and will continue to do so in the near future. Virtual assistants are taking care of the essential but time-consuming job on employee systems. This means federal employees can quit functioning like machines for their computer systems and start assisting the general public in other productive ways. 

UIPath RPA automation adoption makes the most mundane and tedious tasks easier to accomplish while also strengthening IT infrastructures across different sectors of government. TechSur Solutions solves your problems with RPA technology to automate many repetitive tasks. Learn more about our enterprise RPA solutions and how dedicated we are to improving government operations. 


Benefits of Using AI on AWS Platforms

Citizens seek fast, straightforward interactions with their government agencies. Governments may contact constituents, attend to their demands for knowledge, services, and transactions, and then answer those needs with the aid of a citizen engagement system. It is essential for organizations to integrate an efficient strategy that pays close attention to relevant parties within the administration. Especially in order to foresee demands and invent alternatives before dilemmas arise. This allows the government to deliver timely solutions to citizens to address their current needs. The integration of Amazon cloud helps achieve just that.

To enhance citizen engagement systems and the process of interaction with the administration, government agencies across the United States are utilizing the Amazon cloud and strengthening it with AI. Due to the cloud, governments are investing in the forthcoming wave of multichannel services. These omnichannel technologies and AI enhancements minimize direct interaction constraints on personnel. They can consolidate input locations to free resources for more essential operations. Further, AI enhancements decrease and eliminate latency for company personnel and their consumers and enhance the constituent communication process. 


Benefits of AWS Platforms and Services 

With more than 7,500 federal organizations utilizing AWS, the need for U.S. government organizations to strike an equilibrium between affordability/flexibility and cybersecurity, accountability, and dependability has increased significantly. AWS has regularly assisted in navigation related to regulatory concerns linked to cloud services. It has further helped in overcoming government conformity difficulties posed by cloud computing. It is feasible to accomplish operations with a consistent set of tools, a continuous supply of new features, and the versatility to grow quickly with the objective. This is mainly due to AWS’s cloud hosting competency throughout all classification levels.


Amazon Connect-Enabled Constituent Services

Amazon Connect is an omnichannel, virtualized client service platform that enables organizations to deliver strong, less expensive customer care. 

Regions of the US, such as King County, and Washington, utilize the Amazon cloud to guarantee that citizens have easy, fair access to the amenities they seek. They go further than the call center services, adopting a proactive and sympathetic stance. The Amazon Customer Relationship Management (CRM) system is now integrated with digital assistants (Amazon AI bots) across multiple channels. This includes voice, web, text, and social media, giving everyone accessibility anytime, anywhere, on any system. Instances involve generating information that is uniform across all mediums and improving accessibility for individuals who understand a different language or have hearing and vision issues.

Washington, DC, provided contact center employees with Amazon Connect so they could provide smoother and more affordable services to customers. The self-service program for DC’s Child Support Services Division, inaugurated in 2010 on a single network, cost more than $1 million to deploy over ten months. Repairs and maintenance cost far more than $75,000 each year. It took about six months and no extra expenditure to implement the same functionality utilizing Amazon Connect. Using Amazon Connect, contact centers can gather information from many sources, such as agent broadcasts and contact trace data, and store it in a centralized data lake where authorized users can view the client information.


Benefits of Amazon Cloud AI Enhancements

To enhance constituent engagement operations outside of office hours, governments are quickly implementing AI-enabled technological devices. These include chatbots and digital voice assistants that are accessible around the clock. These modulation schemes can also deliver data and services via gadgets and software that users are already accustomed to and at ease using. Individuals can use speech, text, and the telephone to access a centralized data and service request center. 80% of the incoming flow in governmental contact centers is for data requests that require the same response for one inquiry as it is for 1,000. Amazon AI can liberate resources from mechanical, repetitive work so administrators can concentrate on higher-order activities. 

For various governments around the US, Citibot, an Amazon Web Services (AWS) Partner, creates AI-powered chatbots. Amazon Lex is a service used by Citibot to create intelligent interface designs for both text and voice programs. Citibot sought to add a generic search feature to more efficiently utilize selected FAQ information and recent statistical sources from numerous targeted websites. Ultimately, this increases the versatility of their chatbot for powerful new inquiry kinds. Citibot used the Web Connector Tool from TensorIoT, an AWS Partner, and Amazon Kendra, an enterprise web service, to create an all-purpose search system. 

Pre-trained AI technologies from AWS offer pre-made expertise for workflows and services.  AI services are simple to incorporate with platforms for solving typical use cases. These include tailored suggestions, upgrading contact centers, boosting protection and reliability, and raising consumer engagement. Government organizations can benefit from reliability and precision from continuously-learning APIs. This is because these APIs leverage the same deep learning technique that underpins Amazon.com and ML Services. The AWS is sufficiently developed using computer vision to classify resources, spot anomalies, and boost processes with autonomous supervision.

Amazon cloud adoption makes communication, establishment, and transfer of data easier while also strengthening IT infrastructures across different government sectors. TechSur Solutions solves your problems with Amazon cloud technology to enhance various communication tasks. Learn more about our enterprise cloud solutions and how dedicated we are to increase flexibility for government operations. 

TechSur #7 Fastest-Growing Small GovCon!

Each year, Washington Technology ranks small businesses who serve government customers, according to their compound annual growth rate (CAGR) over the last five years. TechSur Solutions is delighted to be named as the 7th fastest-growing small business serving government customers in 2022! Thank you to Washington Technology and GovExec for this honor.


We look forward to climbing this list each year as we deliver emerging technologies to Federal agencies!

Ways to Accelerate Big Data Analytics

The data-driven nature of the world has been aided largely by the rapid advancement of technologies such as artificial intelligence and big data analytics. Increasingly more areas are realizing the usefulness of data and how tapping into it can open a world of growth and development.

Big data analytics is a fast-growing field that has transformed government operations. The sheer volume of data is astounding; for governments, most, if not all of this data is useful. Big data analytics tools help uncover insights and extract meaning from all of this data. The volume of data will continue to increase considerably for federal government organizations and agencies. The question becomes how organizations can make use of this massive amount of data to facilitate development.


The Importance of Big Data Analytics


Understanding and manipulating data has not only helped make numerous processes more efficient, but it has also opened up the possibility of extracting insights that were not possible before. For governments, this means a better allocation of resources and a greater understanding of peoples’ needs as they change. Some examples of ways big data analytics can be of use are:

  • Predicting the spread of disease and taking precautionary measures to prevent it.
  • Developing a public transport system and increasing convenience and efficiency for its users by understanding travel patterns and needs.
  • Fraud reduction.
  • Understanding educational needs and responding with better thought-out study programs.

Data analytics has allowed companies to gain a competitive edge for the private sector by understanding their customers’ needs. For federal government organizations and agencies, the motivating factor is not to outperform their competitors but to provide better services for citizens and make more efficient use of resources. Evidence-based policymaking can be achieved, the outcomes of which can be analyzed and monitored to refine the policies better, accelerating development for the country at large.


Taking Advantage of the Data-Driven World


Once you realize the importance and potential that lies in data, the next step is exploring how organizations can analyze big data in an optimized way.

1. Utilizing Big Data Analytics Tools

Newer, more advanced big data analytics tools have allowed for more efficient means of data collection. Traditional data collection methods, such as household consumption surveys, left room for discrepancies and misinterpretations. These methods were also time and cost-consuming and prone to error. These weaknesses are the same for most of the areas that make use of traditional tools and methods. 

Big data analytics is time efficient because it’s faster and more accurate than traditional methods. As big data analytics tools include bigger and better technologies, the accuracy of data models will only increase. This creates new avenues for data collection that will lead the way for more appropriate policies to be devised.

2. Implementing Machine Learning

Machine learning has been revolutionary in allowing data to be analyzed and used in new ways. Organizations can manipulate complex data and bring out useful intricate patterns from it. Here, the question of data quality comes into play. Ensuring data quality before relying on big data analytics tools is essential for any data model to work to a reassuring degree of accuracy. Several factors can help improve data quality.

With the volume of data increasing exponentially, there’s bound to be ‘bad data’ – inaccurate, outdated, or incomplete data. Such data compromises the entire dataset’s quality, leading to a less efficient model. Cleaning data is integral to creating efficient models based on big data analytics. The greater the quality of data, the more useful it is.



As technologies such as machine learning and artificial intelligence advance, addressing weaknesses in current systems will gradually become easier, allowing producing stronger data models based on big data analytics. Presently, the importance of big data analytics is undeniable. As we progress, this importance will only become irreplaceable.

To learn more about the various aspects of data and the different ways in which organizations can use it, visit TechSur Solutions