Discover the power of the ARIS AI Companion for enhancing business process analysis
The ARIS AI Companion is your ultimate tool for structuring information and creating interactive models effortlessly. Whether you are a seasoned modeling expert or just starting, the ARIS AI Companion is here to assist you through.
Embrace the future of business process analysis with the ARIS AI Companion and GenAI, where efficiency, user-friendliness and intelligence converge to elevate your analytical capabilities to new heights. Experience the transformation firsthand and unlock the full potential of your process analysis journey.
Now, get ready to explore two exceptional new features of the ARIS AI Companion that are set to revolutionize your business process analysis experience:
Assist in model generation
The ARIS AI Companion is designed to support modeling experts and beginners in structuring information and transforming it into interactive models. Whether you are crafting brief descriptions or detailed Standard Operating Procedures (SOPs), the ARIS AI Companion is here to assist you every step of the way.
Get immediate answers to fulfill your tasks
Users can effortlessly access the right content without needing to know specific keywords or search terms. The ARIS AI Companion intuitively responds to the question based on the ARIS content database, providing answers supported by references to the underlying data in the ARIS repository.
Explore the power of ARIS AI Companion for enhancing process mining
Immerse yourself in ARIS Process Mining through the ARIS AI Companion, the GenAI that is fully integrated into the software. This offers users a dynamic and personalized experience, with ready-to-use prompts and the freedom to pose custom questions in an interactive chat. In addition to that, the ARIS AI Companion empowers users to extract actionable insights from their process data.
Dive deeper into the capabilities of the ARIS AI Companion with two cutting-edge features:
Context-sensitive analysis for process mining users
Contextual relevance is key for unlocking optimal answers from GenAI. The ARIS AI Companion leverages your process context to deliver targeted insights directly while analyzing the Process Explorer.
Contextual relevance is key to obtaining optimal responses from GenAI. ARIS AI Companion leverages the context of your process to provide specific information directly in your Process Explorer. The ARIS AI Companion offers users precise and actionable insights from their process data through ready-to-use prompts and the unique ability to ask questions within the chat interface.
Creating calculated fields based on natural language instructions
The ARIS AI Companion empowers business users to create custom calculated fields through code generated from natural language inputs. This tool facilitates the definition of key performance indicators (KPIs), essential for measuring performance and informing strategic decisions. Just by describing or asking a business question, users can effortlessly convert their words into a code that establishes a calculated field, bypassing the need for manual coding and boosting productivity.
Unlock the potential of the ARIS AI Companion, where intelligent insights and user-driven interactions converge to elevate your analytical capabilities and transform your process analysis journey. Experience the synergy of cutting-edge technology and user-centric design for unparalleled process excellence.
Harnessing the potential of GenAI in process intelligence: Industry use cases
Let’s explore how GenAI, when applied to process intelligence, can be a game changer for different industries:
- Manufacturing: Optimize supply chain processes to reduce downtime and increase efficiency with AI-powered optimization.
- Healthcare: Streamline patient care workflows to enhance service delivery and patient satisfaction using AI-driven business process automation.
- Finance: Improve risk assessment and fraud detection by applying natural language processing in business analysis.
- Retail: Enhance inventory management and customer service through data-driven insights and AI for process efficiency and optimization.
- Telecommunications: Boost network performance and customer support operations with GenAI for business processes.
Now, let’s dig a little deeper and explore how GenAI can help improve process management for specific tasks or critical areas of your business:
- Order management: Enhancing processes for timely delivery and minimizing manual tasks, prioritizing touchless orders and efficient open order processing.
- Procurement: Streamlining practices by optimizing payment terms, automating processes, and mitigating risks associated with mono-sourcing.
- Finance shared services: Optimizing Procure-to-Pay (P2P) and Order-to-Cash (O2C) processes to address challenges like duplicative invoices and discrepancies in payment terms.
- Sustainability: Implementing initiatives to reduce CO2 emissions in logistics and enhance supplier sustainability standards.
- Manufacturing: Analyzing consumption patterns to optimize inventory levels, eliminate redundant materials, and reduce working capital.
- Internal audit: Advancing towards a continuous audit model.
The technology alone is not the sole catalyst for transformation; it is the readiness to embrace change that propels a company forward. The human element of transformation, including fostering a change-ready mindset, providing team training and aligning goals, has proven to be equally essential as the technology itself.
Future trends in AI and process intelligence
In today’s fast-paced market, continuous improvement is key for organizations to stay competitive. Creating a self-improving system within an organization requires constant optimization and process management to guarantee resilience and the ability to quickly respond to customer needs.
The democratization of process management through GenAI and increased access to seamless information will bring about a significant shift in the adoption of process intelligence software.
One area where GenAI will revolutionize process intelligence is in data analytics. It empowers centers of excellence to reduce time spent guiding and explaining analytics to users. Employees no longer rely solely on senior colleagues for information; they can now pose relevant questions using integrated management systems (IMS) and receive AI-generated answers. With intuitive and automated capabilities, users experience enhanced efficiency, gaining valuable insights swiftly.
Simultaneously, many formerly manual operations will become semi-automated by AI, boosting efficiency and freeing process intelligence specialists for higher-value projects.
This advancement aims to accelerate organizational growth and amplify the value derived from data-driven initiatives. The focus is on operationalizing transformation efforts, providing leadership and guidance to streamline the transformation process.
The future looks promising, with AI-driven automation and user-centric approaches leading a new era of process intelligence.
Glossary of terms
ARIS AI Companion: A generative AI-powered tool designed to enhance process intelligence by facilitating natural language queries, providing instant process insights, and streamlining business process analysis.
Artificial Intelligence (AI): A branch of computer science dealing with the creation of machines capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Generative AI (GenAI): A subset of AI focused on generating new content, such as text, images, or music, based on existing data. In the context of process intelligence, GenAI helps simplify interactions with integrated process tools and provides natural language insights.
Process intelligence: The use of data-driven insights and technologies to analyze, optimize, and improve business processes. It includes components like data collection, process mining, analysis, and monitoring to enhance overall efficiency.
Large Language Models (LLMs): Advanced AI models that are trained on vast amounts of text data to understand and generate human language. They are used in GenAI to provide context-sensitive responses and insights.
Natural Language Queries: Queries made using natural, conversational language rather than formal, structured language, enabling easier interaction with AI tools for process insights. Also known as prompts.
Disclaimer
AI features are in piloting and/or experimental stage.
Features might change, could be removed, or may require additional licenses to work now or in future versions. As an early adopter, you can preview this feature, which might be useful to you. We appreciate your feedback and help with new, groundbreaking AI features. If you are interested, please get in touch with your Software AG representative.