Today’s BPM should become more automated, people-centric, and dynamic, with the goals of running highly mature organizations and advancing the human world.
These systems rely on knowledge representation, problem-solving mechanisms, and learning strategies, dealing with sensing, problem-solving, and acting.
Process Agility: Agility and adaptability are crucial for organizations to remain effective amidst rapid technological changes. Organizational change, which may require cultural change, necessitates recognizing and understanding the basic underlying assumptions that guide behavior within an organization. Strong organizational cultures can both help and hinder organizational transformation.
Automation and Intelligent Systems: AI seeks to create machines capable of tasks requiring human intelligence, such as reasoning, language translation, and problem-solving. Intelligent systems aim to support everyday applications using techniques like autonomous agents that interact rationally with their environment. These systems use knowledge representation, problem-solving mechanisms, and learning strategies, dealing with sensing, problem-solving, and acting.
Regulation and Accountability: The rapid advancement of AI makes it difficult for regulations to keep pace. Laws governing AI are scarce, but existing data privacy and protection regulations can apply. The ethical deployment of AI requires a balance between protecting users and fostering innovation. It is crucial to establish clear accountability for mistakes and ensure intelligent systems are used ethically. In organizations with strong cultures, values are continuously reinforced through rituals, symbols, and rules, which are internalized by members. While this can enable members to make decisions and take action dynamically, it can also inhibit transformation when greater flexibility is needed to respond to external changes.
Design & Risk Intelligence: Intelligent Processes are smart because they are well-designed and are self-monitoring. The AI-enabled process intelligence can provide the process some “intelligence” such as programmability, adaptability, flexibility; some form of information & feedback into the process to account for changes inside the process and those coming from outside that impact the process and influence what actions to take, when, and where. True, the intelligence in a process comes from people. People need to be process masters.
Intelligence Process is the process by which information is converted into intelligence and made available to users. The process consists of interrelated intelligence operations such as planning and direction, collection, processing and exploitation, analysis and production, dissemination and integration, and evaluation and feedback. Today’s BPM should become more automated, people-centric and dynamic, with the goals of running highly mature organizations and advancing the human world.
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