Overview [Beta]

Many real-world events can be thought of as processes, such as business processes, government operations, healthcare procedures, and more. In a process, entities such as documents, equipment, or individuals undergo changes of state over time. Machinery enables you to understand and manage all aspects of a process, identify unwanted behavior, and make improvements towards a desired outcome. With support from AIP's ability to tap into LLMs, you can use Machinery as a reliable framework for orchestrating multiple automations in multistep 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:

• Purchase-to-pay (Procurement, Finance): Streamline the procurement process from requisition to payment in order to enhance efficiency and reduce costs.
• Order-to-cash (Sales, Finance): Optimize the sales process from order receipt to payment collection, improving customer satisfaction and cash flow.
• Accounts payable (Finance): Analyze and improve invoice processing and payment activities to minimize errors and optimize cash management.
• Accounts receivable (Finance): Enhance the invoicing and payment collection processes to reduce days sales outstanding (DSO) and improve cash flow.
• Customer service (Customer Support): Identify and address inefficiencies in customer service processes to improve resolution times and customer satisfaction.
• Inventory management (Supply Chain, Logistics): Analyze and optimize inventory levels and replenishment processes to minimize stockouts and reduce carrying costs.
• Production planning (Manufacturing): Streamline production processes and resource allocation to reduce lead times and improve manufacturing efficiency.
• Employee onboarding (HR): Evaluate and optimize the employee onboarding process to reduce time-to-productivity and improve the employee experience.
• Claim handling (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.