Mixed Materials
Transforming Business Processes through AI Integration: A Framework for Strategic Alignment of Cognitive Transformation
| Τίτλος: | Transforming Business Processes through AI Integration: A Framework for Strategic Alignment of Cognitive Transformation |
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| Συγγραφείς: | Brand, Nico (Thesis Advisor), Alami, Ismaïl El |
| Στοιχεία εκδότη: | Utrecht University 2025 |
| Τύπος εγγράφου: | Mixed materials |
| Περίληψη: | The increasing integration of Artificial Intelligence (AI) into business operations has created a pressing need to ensure alignment between AI capabilities and the cognitive demands of human-driven tasks. This thesis addresses that challenge by introducing the Universal Cognitive-AI Alignment Framework (UCAF) , a systematic method to match AI architectures with business processes based on shared cognitive profiles. By modeling both business processes and AI architectures in terms of core human cognitive functions, the framework establishes a principled link between organizational needs and technological solutions. The study adopts a design science research approach, combining literature review, expert interviews, and a case study. Key methods include business process decomposition using Event Storming, the construction of cognitive profiles based on an eight-function taxonomy (e.g., perception, reasoning, memory), and the classification of deep learning architectures by their cognitive purpose. A diagnostic rule set was developed to assign cognitive functions to business tasks, and a structured profiling method was used to evaluate AI models accordingly. Results show that many business events rely on discrete cognitive operations that can be meaningfully matched to corresponding AI models. By aligning the cognitive profiles of business processes with those of AI architectures, UCAF supports the design of cognitively coherent AI stacks architectures that mirror the mental demands of the tasks they automate or support.The thesis concludes that UCAF provides a novel and viable approach to AI integration, promoting explainability, trust, and organizational alignment by aligning business processes with AI architectures through cognitive profiling. Importantly, UCAF does not claim to determine the optimal AI stack, but rather identifies a set of relevant architectures that are cognitively aligned with the process at hand. This offers a structured and transparent starting |
| Όροι ευρετηρίου: | A Framework for Strategic Alignment of Cognitive Transformation, presents a structured framework to help organizations align AI solutions with the cognitive demands of their core business processes. By mapping human cognitive functions (such as reasoning, perception, and decision-making) to AI capabilities, your research enables strategic, task-specific AI integration that supports organizational goals. The framework is called the Universal Cognitive-AI Alignment Framework (UCAF)., Master Thesis, Student Thesis |
| Σύνδεσμος: | |
| Διαθεσιμότητα: | Open access content. Open access content CC-BY-NC-ND Open Access |
| Σημείωση: | EN |
| Other Numbers: | QGJ oai:studenttheses.uu.nl:20.500.12932/49173 https://studenttheses.uu.nl/handle/20.500.12932/49173 1528432575 |
| Πηγή συνεισφοράς: | UNIVERSITEIT UTRECHT From OAIster®, provided by the OCLC Cooperative. |
| Αριθμός Καταχώρησης: | edsoai.on1528432575 |
| Βάση Δεδομένων: | OAIster |
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