License Blue Prism software

Blue Prism software is available as an on-prem platform or as a cloud-based platform or as a hybrid solution. Blue Prism’s Hub, Interact and IADA® come with the cloud-based platform and may be purchased as add-ons to the on-prem version.


Core Platform

Blue Prism is a scalable and robust platform with ready-to-go connectors to best-of-breed AI and cognitive technologies. Blue Prism’s Intelligent Digital Workforce automates mission-critical business processes while meeting the requirements of the most demanding IT environments, where security, compliance and enterprise-scalability, are paramount.

Lifecycle Management with Blue Prism Hub

Blue Prism Cloud Hub (Hub) helps your Centre of Excellence (CoE) manage automation lifecycles, as a productivity tool to identify, scope, design, build, test, deploy and operate your automations. The Hub provides secure visibility into your automation landscape, including digital worker utilization and performance and is accessed through the internet. Hub users get access to Wireframer, a design tool for building out the RPA process structure, ensuring that the appropriate controls are in place for everything from application interaction to exception handling.

Humans in the Loop with Blue Prism® Interact

Blue Prism® Interact is a web GUI that bridges people and digital workers enabling greater collaboration with your digital workers. Accessible via a browser, Interact is designed to address any process that requires manual initiation (attended automation), or human intervention (human-in-the-loop).

Interact is customizable to branding guidelines. Business users leverage simple, ready-to-use templates to create new dynamic web forms.

Utilization Optimization with Blue Prism IADA®

Blue Prism Cloud Intelligent Automation Digital Assistant (IADA®) orchestrates the activities of your Blue Prism digital workforce, overseeing cross-departmental workers in a management capacity.

IADA sits at the center – supporting the communication of the subcomponents, using machine learning to optimize utilization and prioritization, and providing cognitive capabilities to the Digital Worker execution layer.

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