Sber Expands SaluteRPA with GigaChat AI Capabilities for Automated Workflows
Sber has integrated GigaChat functionality into its SaluteRPA platform, enabling customers to apply artificial intelligence when designing and configuring robotization scenarios. The update comes from the bank’s press service and marks a significant enhancement in how clients set up automated processes.
Developers behind SaluteRPA have introduced a new suite of components that connect with the GigaChat neural network model via the GigaChat API. This integration streamlines the creation and adjustment of automation workflows, making it easier for organizations to embed intelligent decisioning and natural language processing into their operations. The result is improved automation potential across diverse business tasks, with GigaChat acting as the AI engine behind routine decisions and responses.
The components are designed to simplify building software robots with built in AI capabilities. This advancement raises the level of automation by enabling more effective text processing, smarter decision making, and more accurate response generation within automated scenarios.
Sber also highlights tools that help migrate from external AI solutions to SaluteRPA without losing existing scripts or functionality. Experts can manage a project end to end, starting with business process analysis, moving through solution implementation, and concluding with ongoing support. This approach ensures a smoother transition for organizations looking to centralize automation within SaluteRPA.
SaluteRPA is listed in the native software registry, complies with applicable legal requirements, and is available for use by government entities. This positioning underscores its readiness for public sector deployments and regulated environments.
GigaChat API provides programmatic access to the GigaChat service for practical business use. Through this API, companies can leverage AI to inform decisions and optimize processes, integrating advanced conversational and analytical capabilities into their workflows.
Source: Sberbank press release.