What exactly is business process management? Imagine for a moment that your company is a chocolate factory with different production lines running simultaneously. They are dependent on each other, as chocolate coming off one belt is transferred to another that decorates. Sometimes you also need to synchronize the operation of several assembly lines to efficiently arrange different types of chocolates in a box.

Production assembly lines are your company’s business processes. Business process management, or BPM, is a discipline that helps optimize these lines and synchronize their operation, i.e. streamline the company’s workflow. With BPM, companies analyze their key business processes, identify bottlenecks or waste and then design improvements. With such help, they can operate more efficiently and achieve strategic goals. After all, who could waste any chocolate?

What is business process management (BPM)?

Examples of business processes include:

  • Customer ordering of the product – consists of all steps from adding the product to the cart to payment to shipping and after-sales service,
  • Invoice issuance and payment collection – invoice issuance, verification, posting, dispatch to the customer, and collection of receivables,
  • Recruitment and training of employees – advertisement, selection of candidates, screening, contracting, implementation and development of the employee,
  • Troubleshooting technical problems – accepting requests, diagnosing, repairing, testing and informing the customer.

The first task of BPM is always to collect data, analyze the existing process followed by identifying all the necessary steps needed to perform it. The second is to identify moments that hinder such execution. And the third, to design a change to improve its efficiency. With more complex processes, this is often a task beyond human capabilities. Artificial intelligence can help in their implementation.

The role of AI in business process management

Modern BPM solutions employ artificial intelligence (AI) to provide entirely new capabilities. Here are 4 major applications of AI in business process management.

  1. Process mapping
  2. The key to the success of BPM, also known as “process optimization,” is the predictability of all the steps to take to achieve the goal. The basis for implementing an effective process is therefore the creation of a process map, or process visualization.

    The process map most often comes in the form of a graph with all stages and the transitions between them. Its role is also to take into account the bifurcating possibilities, that is, to map the various eventualities that may arise at the following stages of the process.

    Traditional process mapping methods can be time-consuming and prone to human error. AI, on the other hand, can automate process mapping, making it faster and more accurate. `

  3. Increase process flexibility
  4. A significant advantage of AI-based process mining is the ability to monitor processes in real-time, not just analyze them after they are completed. With real-time monitoring, companies can get up-to-the-minute information on the status of a process and immediately intervene as needed to solve problems or take advantage of opportunities.

    By continuously analyzing data on the go, AI can also dynamically adapt processes to changing conditions. For example, in an order handling process, it can automatically reorder steps or introduce new paths when workloads increase.

  5. Analysis of patterns in data
  6. AI instantly detects hidden patterns in data, for example, recurring reasons for delays in processes. In recruitment, it can indicate at what stage candidates are most likely to drop out.

    Meanwhile, one of the most interesting applications of artificial intelligence in BMPs is automatic process discovery. AI can help automatically identify and model processes by analyzing data from various source systems (e.g., CRM or ERP). By analyzing log or event data from these sources. AI also identifies patterns and relationships to visualize the process flow and identify individual steps.

  7. Automation of repetitive tasks

    AI-based bots autonomously perform routine process steps – issuing invoices, updating customer data, and transferring documents between systems. This allows employees to focus on tasks that require creativity and strategic thinking.

    AI can support a variety of business processes – from automation to advanced analytics. Its use allows companies to dramatically increase the efficiency and flexibility of key processes. But what tools should you use to streamline your company’s processes and implement AI-based BPM?

AI-assisted BPM tools

When looking for BPM tools, you should first consider what kind of software will work best for your company.

  • Support of a specific stage of BPM – for example, for visualization of processes it is worth trying Flowster or Lucidchart, while for automation of various types of tasks – Kissflow. The undoubted advantage of choosing such solutions is their lower price and well-designed user experience.
  • A holistic BPM platform – to manage and optimize a company’s full business processes with a single tool. Here we enter the realm of tools that are more complex and more difficult to handle, but which give a great deal of control over processes. These are most often employed by larger companies.
  • business process management

    ADONIS, an AI-supported business process management tool.

    Source: boc-group.com

The most commonly used BPM tools include:

  • Appian BPM Suite – features artificial intelligence (AI) to optimize and automate business processes. Appian offers an AI Skill Designer tool that enables secure large-scale content processing using artificial intelligence,
  • ADONIS BPM Suite – provides Ella’s chatbot from the very beginning of running the program when mapping processes, and
  • Nintex Workflow Cloud – to manage and automate business processes. Among other things, it gives support for repetitive data, i.e. generating interactive document templates that contain tables and sections dynamically created from data and object collections.
business process management


Workflows such as submitting vacation requests, processing invoices, preparing employee onboarding and reviewing purchase requests can be automated with AI-assisted business process management (BPM). Thanks to continued advances and developments in artificial intelligence and machine learning, not only simple, one-dimensional processes but also complex tasks involving multiple stakeholders, departments and different systems can get analyzed, optimized and even automated with the help of AI.

If you like our content, join our busy bees community on Facebook, Twitter, LinkedIn, Instagram, YouTube, Pinterest.

4 ways AI supports business process management (BPM) | AI in business #13 robert whitney avatar 1background

Author: Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

AI in business:

  1. Threats and opportunities of AI in business (part 1)
  2. Threats and opportunities of AI in business (part 2)
  3. AI applications in business - overview
  4. AI-assisted text chatbots
  5. Business NLP today and tomorrow
  6. The role of AI in business decision-making
  7. Scheduling social media posts. How can AI help?
  8. Automated social media posts
  9. New services and products operating with AI
  10. What are the weaknesses of my business idea? A brainstorming session with ChatGPT
  11. Using ChatGPT in business
  12. Synthetic actors. Top 3 AI video generators
  13. 3 useful AI graphic design tools. Generative AI in business
  14. 3 awesome AI writers you must try out today
  15. Exploring the power of AI in music creation
  16. Navigating new business opportunities with ChatGPT-4
  17. AI tools for the manager
  18. 6 awesome ChatGTP plugins that will make your life easier
  19. 3 grafików AI. Generatywna sztuczna inteligencja dla biznesu
  20. What is the future of AI according to McKinsey Global Institute?
  21. Artificial intelligence in business - Introduction
  22. What is NLP, or natural language processing in business
  23. Automatic document processing
  24. Google Translate vs DeepL. 5 applications of machine translation for business
  25. The operation and business applications of voicebots
  26. Virtual assistant technology, or how to talk to AI?
  27. What is Business Intelligence?
  28. Will artificial intelligence replace business analysts?
  29. How can artificial intelligence help with BPM?
  30. AI and social media – what do they say about us?
  31. Artificial intelligence in content management
  32. Creative AI of today and tomorrow
  33. Multimodal AI and its applications in business
  34. New interactions. How is AI changing the way we operate devices?
  35. RPA and APIs in a digital company
  36. The future job market and upcoming professions
  37. AI in EdTech. 3 examples of companies that used the potential of artificial intelligence
  38. Artificial intelligence and the environment. 3 AI solutions to help you build a sustainable business
  39. AI content detectors. Are they worth it?
  40. ChatGPT vs Bard vs Bing. Which AI chatbot is leading the race?
  41. Is chatbot AI a competitor to Google search?
  42. Effective ChatGPT Prompts for HR and Recruitment
  43. Prompt engineering. What does a prompt engineer do?
  44. AI Mockup generator. Top 4 tools
  45. AI and what else? Top technology trends for business in 2024
  46. AI and business ethics. Why you should invest in ethical solutions
  47. Meta AI. What should you know about Facebook and Instagram's AI-supported features?
  48. AI regulation. What do you need to know as an entrepreneur?
  49. 5 new uses of AI in business
  50. AI products and projects - how are they different from others?
  51. AI-assisted process automation. Where to start?
  52. How do you match an AI solution to a business problem?
  53. AI as an expert on your team
  54. AI team vs. division of roles
  55. How to choose a career field in AI?
  56. Is it always worth it to add artificial intelligence to the product development process?
  57. AI in HR: How recruitment automation affects HR and team development
  58. 6 most interesting AI tools in 2023
  59. 6 biggest business mishaps caused by AI
  60. What is the company's AI maturity analysis?
  61. AI for B2B personalization
  62. ChatGPT use cases. 18 examples of how to improve your business with ChatGPT in 2024
  63. Microlearning. A quick way to get new skills
  64. The most interesting AI implementations in companies in 2024
  65. What do artificial intelligence specialists do?
  66. What challenges does the AI project bring?
  67. Top 8 AI tools for business in 2024
  68. AI in CRM. What does AI change in CRM tools?
  69. The UE AI Act. How does Europe regulate the use of artificial intelligence
  70. Sora. How will realistic videos from OpenAI change business?
  71. Top 7 AI website builders
  72. No-code tools and AI innovations
  73. How much does using AI increase the productivity of your team?
  74. How to use ChatGTP for market research?
  75. How to broaden the reach of your AI marketing campaign?
  76. "We are all developers". How can citizen developers help your company?
  77. AI in transportation and logistics
  78. What business pain points can AI fix?
  79. Artificial intelligence in the media
  80. AI in banking and finance. Stripe, Monzo, and Grab
  81. AI in the travel industry
  82. How AI is fostering the birth of new technologies
  83. The revolution of AI in social media
  84. AI in e-commerce. Overview of global leaders
  85. Top 4 AI image creation tools
  86. Top 5 AI tools for data analysis
  87. AI strategy in your company - how to build it?
  88. Best AI courses – 6 awesome recommendations
  89. Optimizing social media listening with AI tools
  90. IoT + AI, or how to reduce energy costs in a company
  91. AI in logistics. 5 best tools
  92. GPT Store – an overview of the most interesting GPTs for business
  93. LLM, GPT, RAG... What do AI acronyms mean?
  94. AI robots – the future or present of business?
  95. What is the cost of implementing AI in a company?
  96. How can AI help in a freelancer’s career?
  97. Automating work and increasing productivity. A guide to AI for freelancers
  98. AI for startups – best tools
  99. Building a website with AI
  100. OpenAI, Midjourney, Anthropic, Hugging Face. Who is who in the world of AI?
  101. Eleven Labs and what else? The most promising AI startups
  102. Synthetic data and its importance for the development of your business
  103. Top AI search engines. Where to look for AI tools?
  104. Video AI. The latest AI video generators
  105. AI for managers. How AI can make your job easier
  106. What’s new in Google Gemini? Everything you need to know
  107. AI in Poland. Companies, meetings, and conferences
  108. AI calendar. How to optimize your time in a company?
  109. AI and the future of work. How to prepare your business for change?
  110. AI voice cloning for business. How to create personalized voice messages with AI?
  111. Fact-checking and AI hallucinations
  112. AI in recruitment – developing recruitment materials step-by-step
  113. Midjourney v6. Innovations in AI image generation
  114. AI in SMEs. How can SMEs compete with giants using AI?
  115. How is AI changing influencer marketing?
  116. Is AI really a threat to developers? Devin and Microsoft AutoDev
  117. AI chatbots for e-commerce. Case studies
  118. Best AI chatbots for ecommerce. Platforms
  119. How to stay on top of what's going on in the AI world?
  120. Taming AI. How to take the first steps to apply AI in your business?
  121. Perplexity, Bing Copilot, or You.com? Comparing AI search engines
  122. ReALM. A groundbreaking language model from Apple?
  123. AI experts in Poland
  124. Google Genie — a generative AI model that creates fully interactive worlds from images
  125. Automation or augmentation? Two approaches to AI in a company
  126. LLMOps, or how to effectively manage language models in an organization
  127. AI video generation. New horizons in video content production for businesses
  128. Best AI transcription tools. How to transform long recordings into concise summaries?
  129. Sentiment analysis with AI. How does it help drive change in business?
  130. The role of AI in content moderation