Features Process HQ and generative AI enhancements for significant process improvement and continuous optimization
Appian has announced the latest version of the Appian platform featuring Process HQ, a combination of process mining and enterprise AI unified with the Appian data fabric. Process HQ provides unprecedented visibility into business operations to enable data-driven decision making and process improvement. The latest version of Appian also expands the practical value of generative AI through improvements to the Appian AI Copilot and prompt builder AI skill.
“We are excited to see the value that Process HQ could bring to Oscar Health in automating data analysis for our service team’s daily improvement processes,” said Renee Hayter-Cotter , Product Manager at Oscar Health. “From identifying insights into potentially problematic areas to performing root cause analysis and tracking the effectiveness of our countermeasures, we see many opportunities for Process HQ to drive improved outcomes.”
Process HQ
Business users need greater visibility into all of their company’s data and processes to maximize operational efficiency and strategic decision making. By combining the latest technologies in data fabric, process mining, machine learning and generative AI, Process HQ helps monitor and improve all business processes created in Appian. Process HQ makes it easy to reduce costs, risks and delays, improve compliance and drive better business results, without the need for costly and time-consuming data collection efforts. Process HQ includes:
- Process insights enables business users without experience in process mining or data science to discover insights and explore their business processes through AI-powered analysis of their workflows. Process insights leverage detailed system and human activity audit information captured in the Appian data fabric , providing immediate visibility without substantial effort. It uses enterprise AI to identify and quantify bottlenecks, errors and delays, and provides intelligent recommendations for process areas with the greatest potential for improvement. Users follow a guided experience to drill down into the details, and then can quickly act on process improvements using Appian’s process automation capabilities, all within a secure, enterprise-grade platform.
- Data fabric insights allow business users to explore company data and create custom reports and dashboards. When you partner with Appian AI Co-Pilot , users can gain new insights even faster. Data fabric insights makes it possible to create reports for business users without any Appian development knowledge and also allows them to answer common business questions more quickly, without needing to rely on a data expert or developer to create a report. Organizations can save a lot of time and money with these capabilities and can be sure that only the right users can see certain secure data.
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Additional generative AI improvements in the latest version of Appian include:
- Eleven new AI skills using generative AI. Appian now offers eleven new AI skills that use a Large Language Model (LLM) built into Appian Cloud. These use a low code design to allow users to leverage an LLM to easily tailor AI requests for specific use cases, including: document summarization, PII identification, unstructured documents, email extraction, text generation and much more. further. By presenting a curated list of common use cases, AI Skills simplifies the incorporation of generative AI into Appian applications, allowing users to start from a contextually relevant request and efficiently generate reliable AI responses.
- Appian AI Copilot automates tedious development tasks by generating sample data and application unit tests. By simply providing context using natural language and data, AI Copilot takes care of the rest, generating data for individual records and for complex sets of related records. AI-generated sample data is ideal for user acceptance testing and stakeholder demonstrations, and accelerates the lifecycle of realistic data development for any application. AI Copilot also now uses generative AI to automate test case generation, addressing one of the most time-consuming tasks for developers by suggesting test cases aligned with users’ business functions and ensuring complete test coverage of the business logic. As a result, developers can streamline testing activities, minimize manual effort, and improve the overall quality and reliability of their applications.
“Process mining has been held back by two problems: costly and often subjective manual data preparation, because even ‘standard’ systems have been customized, and limited tools to resolve process bottlenecks. are discovered,” said Michael Beckley , CTO & Founder at Appian. “Process HQ integrates Appian Data Fabric to reduce manual data preparation and is unified with Appian process automation, so moving from insight to action has never been easier.”
Source: PRNewsWire
