About Larissa
German
Native or bilingual
English
Conversational
Experience
- AI Operations Setup & LLM-basierte Workflow Automation - ConstructionAI Implementation Consultant/ AI Project LeadCIVIL ENGINEERINGOctober 2025 - March 2026 (5 months)GoalStructured integration of AI into core operational processes (offer and project start phases).ResponsibilityOverall responsibility, including stakeholder management (Sales, Procurement, Project Management, Site Management) for analysis, restructuring, and AI preparation of two core operational processes (offer and project start phases). Management of functional and organizational integration, including decision logic, governance, and pilot project preparation.Achievements- Analysis of two value-adding core processes (offer phase & project start)- AI Readiness Assessment (governance, data, IT landscape)- Identification and prioritization of concrete AI use cases- Restructuring of decision paths and coordination processes- Development of an AI workflow blueprint- Preparation and structuring of a pilot projectResult- Reduction of offer creation time from 5 to 3 days (-40% lead time)- Time savings in procurement: approx. 5 hours per person/week- Savings of approx. 20 hours per person in the project start phase- Reduction of coordination loops by approx. 15%- Clear decision logic and structured knowledge transfer between Sales, Project Management, and Site Management
- Conversational AI & Voice Automation - HealthAI Automation Consultant/ Process DesignerHEALTH AND WELLNESSSeptember 2025 - January 2026 (4 months)GoalAutomation of recurring patient inquiries through the implementation of an LLM-based telephone agent with integration into existing systems.ResponsibilityResponsible for the conception, technical integration, and rollout of an LLM-based telephone agent, including API connection and workflow orchestration into existing systems.Achievements- Analysis of existing inbound and outbound communication processes- Identification and definition of 3 standardizable use cases- Conception of the dialog architecture (intent structure)- Integration into existing practice and communication systems- Workflow automation via Make and API connection- Technical integration via REST API and webhooks into existing CRM and communication systems- Technical implementation and productive rolloutResult- Automation of approx. 20% of incoming calls- Time savings of approx. 6 hours per employee/week- Relief for the back office team by reducing recurring standard inquiries- Scalable foundation for further AI-supported automation
- LLM-basiertes KI-Agentensystem & Chatbot-Implementierung - HR-TechAI Product & Agent System ConsultantINTERNET OF THINGS (IOT)March 2025 - December 2025 (9 months)Hamburg, GermanyGoalTransformation of a 1:1 coaching approach into a scalable, AI-based product.ResponsibilityResponsible for the conception, architecture, and implementation of an LLM-based agent system, including product logic, dialog structure, and operational integration.Achievements- Conception of a structured AI-supported reflection and coaching process- Development of an LLM-based agent architecture- Design of prompt logic and workflow orchestration- Integration of relevant systems and data structures- Technical implementation and productive launch- LLM integration via OpenAI API, including prompt engineering and structured agent logicResult- Replacement of classic 1:1 coaching interactions with an AI system- Time savings of approx. 12 hours per week at management level- Scalable product model instead of manual individual support- Operationally deployable AI agent system with structured decision logic
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Education
- Master of Business AILeaders of Ai2025Master of Business AI
- Scrum Master and Product OwnerEXIN2020Scrum Masterin und Product Ownerin