RPA SOLUTIONS
for Government
RPA for Government
The current wave of intelligent automation offers significant opportunities for government to improve the way it conducts business. It has the potential to reduce manual, repetitive tasks which allows government to spend more time on mission-critical activities.
What’s the Impact?
Between manual data entry, document processing, security compliance, and information requests, government agencies have many applications for Robotic Process Automation (RPA). Intelligent automation provides flexible technology that works with legacy, cloud, and hybrid systems to complete and optimize complex government tasks.
Government agencies are adopting automation at a rapid pace to reduce hours spent on repetitive tasks, freeing up their employees to work on higher-value activities. The federal government has even formed a RPA Community of Practice to help guide agencies and accelerate the implementation of automation.
Practical Applications for RPA in Government
RapidAutomate for Immediate ROI
RapidAutomate enables agencies to eliminate the upfront investment in hardware and software and realize the benefits of automation much faster than traditional licensing models.
RapidAutomate Service for Government
As an official UiPath reseller to the State of Texas and local government agencies, this unique RapidAutomate program helps Texas agencies accelerate their RPA journey by avoiding the HW/SW bottlenecks to quickly launch the program. The 3-month pilot program is limited to use cases in order to obtain funding for an agency-wide RPA adoption and deployment.
RapidAutomate is ‘UiPath in a box’ to help your agency quickly launch RPA proofs-of-concept and limited-time pilots. This pilot solution includes:
RPA for Texas State Agencies
Learn from our experts what RPA is, how it works, where it can be used, lessons learned, and best practices that help ensure successful integrations for state agencies.
Explore Hyperautomation
Our RPA experts can help you identify opportunities for automation.
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