Revolutionizing Process Intelligence with GenAI

Since the 1990s, business process management (BPM) and process intelligence have been essential to organizational development. As technology has evolved to help businesses optimize operations, the core focus on streamlining processes and ensuring compliance has remained constant. However, the landscape is now shifting. Artificial Intelligence (AI) is reshaping the business world, revolutionizing operations, and enabling AI-powered process optimization like never before.

McKinsey estimates that Generative AI (GenAI) could contribute between $2.6 trillion and $4.4 trillion annually to the global economy.

This transformative influence spans various industries. For example, retail companies are leveraging GenAI for tasks ranging from data extraction and content creation to quote comparisons and enhancing employee productivity. Whether in software development or warehouse design, the applications of GenAI are truly limitless.

Process intelligence has also been swept up in this wave of transformation, significantly improving how business processes are analyzed and optimized. Process intelligence relies on the collection, analysis and visualization of data to understand process performance, identify inefficiencies, and improve overall efficiency. GenAI's new application in process intelligence is not meant to replace techniques such as process discovery, or compliance checking within process mining, just as it is not meant to replace calculators. Instead, GenAI can simplify interactions with integrated process intelligence tools, including modeling, process mining, automation and risk management. But its main focus is to enhance those modules, which will accelerate in the near future because GenAI is rapidly evolving. By facilitating the extraction of event data, enabling natural language queries, and improving the explanation of diagnostics, GenAI streamlines user participation without the need for specialized training.

Before diving into what GenAI can offer to process intelligence, it is necessary to differentiate between three concepts that are often confused with each other.

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by computer systems, enabling them to perform tasks that typically require human cognitive functions such as learning, reasoning, problem-solving and decision-making.

Typical use cases in business include:

• Data analysis and insights: Predictive analytics, customer segmentation.
• Automation and efficiency: Robotic Process Automation (RPA), supply chain optimization.
• Customer experience: Chatbots, personalized recommendations.
• Financial services: Algorithmic trading, credit scoring.
• Healthcare: Medical image analysis, drug discovery.

Generative AI (GenAI) is a subset of artificial intelligence that focuses on enabling computers to generate new and creative outputs based on learned patterns. It involves algorithms that improve their performance on specific tasks over time.

Typical use cases in business include:

• Content creation: Written articles, marketing materials, creative content.
• Product design: Unique designs, prototypes, variations for products.
• Artificial creativity: Producing music, artwork and other creative expressions.
• Virtual prototyping: Creating virtual models and simulations for testing and experimentation.
• Text generation and summarization: Crafting natural language responses, summaries and reports.

Machine Learning (ML) is a subset of artificial intelligence that focuses on enabling computers to learn from data and improve their performance on specific tasks over time. It involves algorithms that automatically learn patterns and relationships within data, enabling the system to make predictions or decisions without being explicitly programmed.

Typical use cases in business include:

• Customer segmentation: Analyzing customer data to identify distinct groups for targeted marketing and personalized experiences.
• Fraud detection: Identifying suspicious transactions and patterns in financial services.
• Predictive maintenance: Anticipating equipment failures and scheduling maintenance to reduce downtime and costs.
• Supply chain optimization: Enhancing logistics, route planning, and inventory management.
• Chatbots and virtual assistants: Automating customer service interactions and providing instant support through natural language processing.

In essence, while ML is about learning from data to make predictions or classifications, GenAI is about generating new and creative outputs based on learned patterns.

Process intelligence is about using data-driven insights and technologies to analyze and optimize business processes. This involves:

• Collecting, analyzing and visualizing data to understand how processes perform.
• Identifying inefficiencies and improving overall efficiency.

Key components of process intelligence include:

• Data collection
• Process modeling and mining
• Analysis and insights
• Optimization
• Monitoring and control

For a process intelligence initiative to succeed, everyone involved must actively participate and embrace the changes that come from optimization.

As we strive to enhance process understanding, a new and vital capability takes center stage: GenAI. With GenAI, users can inquire about process-related matters using natural language and receive pertinent information, analyses and visualizations in response. This revolutionary technology has the potential to become an indispensable assistant for every employee in the digital era.

The benefits of GenAI applied to process intelligence extend beyond just convenience:

Efficiency and productivity boost

• Save time and effort: GenAI swiftly translates your vision into a detailed process design. Move quickly from search and exploration to the process design stage.
• Boosted productivity: GenAI turbocharges your workflow by helping you to automate repetitive tasks. Generative AI can manage large datasets, discern patterns, and assist in identifying the most appropriate processes for automation. This enables you to focus on more strategic tasks and substantially boosts your productivity.
• Empower your teams: Be ready for business process management (BPM) democratization and discover how your teams, including non-technical roles, can leverage natural language to extract highly relevant process insights.

Enhanced analysis and quality

• Elevated quality: GenAI's precision algorithms can significantly enhance process execution by minimizing errors and ensuring consistent outcomes.
• Unbiased analysis: GenAI can significantly reduce bias in analysis by providing data-driven insights. While it strives for objectivity, it's important to remember that AI models are trained on data that may contain biases. Human oversight remains crucial for interpreting results and making informed decisions.

Informed decision-making

• Empowered, agile operations: GenAI combined with process mining provides instant ad-hoc answers to business questions, enabling real-time insights for quick decision-making based on current data, ideal for fast-paced business environments.
• Find answers to the most complex questions: Discover insights that would otherwise be challenging to uncover and receive tailored answers to your most diverse and complex process questions.

GenAI powered process intelligence. Revolutionize your way of working.

What makes me and ARIS so special?

• Understanding AI needs: ARIS comprehends organizational AI needs to accelerate process transformation.
• Tailored solutions: ARIS understands process intelligence mechanics to craft tailored solutions using GenAI.
• Expert collaboration: The ARIS team collaborates with AI experts from long-term partnerships such as Microsoft, AWS and leading research facilities like the German Research Center for Artificial Intelligence, known as Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI).
• Engineered for excellence: GenAI in ARIS is engineered for the best outcomes by BPM/PI experts.
• Enhanced security: Major cloud providers and hyperscalers ensure enhanced security measures.

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.

• 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.

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.

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.