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Workflow Management
Business Honor
16 June, 2025
Accenture’s new AI platform helps automate, manage, and scale complex workflows across enterprise systems.
Accenture has declared the release of its new AI RefineryTM distiller architecture which is a strong platform made to help companies in managing and mechanizing complex processes with the use of advanced AI agents.
Developers may construct and maintain AI agents that can perform endwise operations with the help of the distiller framework's tools and software development kits (SDKs). Agentic workflow management, which allows several AI agents to work together, handle activities and instantly adjust to changing requirements, is one of its primary advantages. This method helps businesses in changing from discrete AI technologies to intelligent workflows that are completely combined.
Nearly 2,000 developers and practical use cases from various sectors helped Accenture build this platform. Its flexible design allows for connection across on-premises, private, public and sovereign infrastructure. This guarantees that companies may match their AI solutions to particular operational, data and compliance requirements.
The platform's main objective is to make backend complexity simpler so that developers may concentrate on improving and broadening business processes. It makes it simpler to create reliable and effective agent-based systems with capabilities like memory management observability model fine-tuning and governance.
Additionally, Accenture is providing a physical AI SDK which allows AI systems to decipher sensor and camera data. Adding another level of mechanization to physical workflows this can be applied to activities like video analysis or manufacturing floor problem detection. Businesses such as KION Group are already examining how technology may improve manufacturing and warehousing safety and efficiency. The overall goal of Accenture's new AI platform is to help businesses unlock higher productivity and value across operations by making AI workflow automation faster, more dependable, and easier to scale.