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.

To model one of these processes yourself, complete the "Mining your first business process" speedrun course ↗ on the Palantir Learning portal ↗.