Machinery

Many real-world events can be thought of as processes, such as business workflows, government operations, or healthcare procedures. In a process, entities such as documents, equipment, or individuals undergo changes of state over time. The Machinery application enables you to understand and manage all aspects of a process, identify unwanted behavior, and make improvements toward a desired outcome. With support from AIP's LLM-powered functionality, you can use Machinery as a reliable framework for orchestrating multiple automations in multi-step AIP workflows. Supported workflows include:

• Resolving process inefficiencies with the help of AIP and automation
• Managing an AIP use case end to end by orchestrating several AI agents
• Mining an ongoing process from external event logs to gain visibility into an existing process
• Defining and monitoring performance metrics and expectations to identify process bottlenecks
• Building operational applications to supervise AIP workflows with real-time human intervention

Use cases

Example use cases and workflows for Machinery include:

• Insurance: Capture the process of insurance claims from the initial filing to the final decision, including OCR on relevant documents, semi-automated processing, and human approval.
• Hospital operations: Model the patient journey through hospital care from end to end. Support operations through medical document generation.
• Purchase-to-pay: Consider the procurement process from requisition to payment and improve workflow efficiency.
• Order-to-cash: Optimize the sales process from order receipt to payment collection for customer satisfaction and cash flow.