Accounts payable invoice automation (APIA) tools automate the capture, validation and processing of invoices. These solutions attempt to automatically match invoices to purchase orders (POs) and contracts, or automatically code those invoices that would not have a PO. Payment management, ranging from OK to pay to complete invoice payment, is also included. The expanded scope of APIA includes advanced capabilities, such as automated multiway matching, fraud detection and cash management.
Compliance monitoring solutions leverage capabilities to detect anomalies in processes or employee behavior. These solutions enhance misconduct reporting channels by providing chief compliance and ethics officers (CCEOs) with ways to detect misconduct and take action on it, in near real time. They help organizations meet regulatory requirements by enabling real-time detection of violations, conducting risk assessments, and managing incidents from identification to resolution. These technology resources also support efforts to automate compliance workflows, prioritize responses based on severity and impact, and potentially take advantage of regulatory self-disclosure incentives in a timely way. Tailored dashboards offer oversight for stakeholders, ensuring transparency and accountability. These solutions are typically used by compliance officers, risk managers, auditors, and legal teams in industries like finance, healthcare, government, energy, and tech to ensure adherence to regulations, internal policies, and industry standards.
Process mining platforms offer comprehensive analysis of end-to-end processes by extracting event data from information systems. This includes automated process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction and history-based recommendations. Process mining platforms extend process mining capabilities via advanced process analytics, process improvement detection and process improvement recommendations.
Gartner defines task mining as a combination of techniques to infer useful information from low-level event data available in UI logs derived from the underlying operating system or through observing application UI interactions. This data comes from individual users or a cohort in the form of screen recordings, keystrokes, mouse clicks and data entries. Additional mining capabilities interpret the data by applying natural language processing (NLP), optical character recognition (OCR) and artificial intelligence (AI) techniques to correlate data in different ways. Task mining helps an enterprise identify inefficiencies and automation opportunities, increase worker productivity, and enhance the employee experience.
A digital twin of an organization (DTO) is a dynamic software model of any organization that relies on operational and contextual data to understand how an organization operationalizes its business model, connects with its current state, responds to changes, deploys resources and delivers customer value.