Internship // progress Progress My internship progress and learning development.
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Start: 1 Sept 2026 Week 0 of 20 End: 20 Jan 2027
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0 of 6 sub-questions completed
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Main Research Question How can the current sales process and initial assessment of incoming requests at Bierens be automated using available company data, business criteria, and AI while maintaining a reliable, secured and reviewable classification process? Research Sub-Questions 1 How is the current sales process performed at Bierens, and which parts of this process can potentially be automated? Not Started 0 evidence items 2 Which company and request data is available within Bierens' systems, which information is relevant for the initial assessment of a case, and how is this data stored and protected? Not Started 0 evidence items 3 Which business criteria are currently used by Bierens to determine the priority and relevance of an incoming request, and why are these criteria important for the assessment? Not Started 0 evidence items 4 Which technical approach is most suitable for implementing the automated sales process, and which steps should be handled by automation, business rules, or AI/LLMs? To what extent is an automation platform such as n8n suitable for connecting and managing these different steps? Not Started 0 evidence items 5 How can AI/LLMs support the processing of unstructured case information, such as summarizing long descriptions and identifying missing or insufficient information, and where should AI be used within the sales process? Not Started 0 evidence items 6 If an LLM is used within the solution, which LLM and hosting approach is most suitable for Bierens considering performance, cost, security, privacy, and preferably European data hosting? Not Started 0 evidence items Extra Work Useful internship work outside the six research questions.
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