Nedim Ferizagic

Analysis & prioritization of AI use cases including evaluation of LLM, RAG, and process potentials. Process analysis (BPMN), business case development, and creation of business requirements (use cases, user stories). Workshops & stakeholder management for structured identification, planning, and implementation of AI applications.

Strategic conception and rollout of generative AI agents in healthcare (98% Accuracy, 100% Response Rate). Leadership of interdisciplinary teams (Development, Data Science, Design) and full responsibility for backlog, epics, and user stories. Increase in delivery speed by 30% through optimized agile workflows and clear governance structures. Ensuring project profitability through burn rate monitoring, capacity planning, and early risk and budget control. Advising C-level stakeholders on AI use cases and technical feasibility (requirements engineering). Establishment of scalable processes, quality standards, and decision-making bases for management and steering committees. Management of external technology partners and proactive risk and dependency management in the AI and Health IT context.

Leading interdisciplinary teams of up to 20 experts to implement complex digital products. Development of technical roadmaps and prioritization of epics/user stories; increase in velocity by 20-30%. Budget and resource responsibility, including burn rate monitoring and capacity planning. Hybrid project management (Scrum/Kanban + classical control) for transparent and reliable delivery. End-to-end responsibility from requirements engineering to go-live and marketing rollout. Establishment of efficient delivery processes, quality standards, and reporting structures. Creation of decision-making bases for management, risk analyses, and steering documents. Management of external service providers and advising clients on technical and strategic requirements.