About Paul
Dutch
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Experience
- WAIMAKERSAI & Automation ManagerJanuary 2026 - Today (7 months)AI strategy, training, use case development, and implementation for large organizations- Designed a multi-year AI transformation strategy with implementation pilots for a large semi-public Dutch organization (20,000+ employees), together with their AI program team and reporting directly to the CEO- Guided organizations, including companies with over €1 billion in revenue, through end-to-end AI transitions: use case identification, pilot design, rollout, and adoption- Translated technical concepts to non-technical stakeholders, aligning business, IT, and leadership- Provided prompting and generative AI training for various clients in the financial sectorService desk AI transformation, large semi-public Dutch organization (>80% less team time to resolve tickets)- Built 16 customer-specific Copilot agents for a service desk team of 20 employees, each tailored to a different service desk for the organization's large business clients- Automated document analysis and the drafting of customer responses across the different desks- Guided the entire team through a 3-month AI transition: change management, daily adoption, and hands-on prompt engineering training- Presented the results and a new operating model for people and AI agents to the management boardHR Copilot agent for employees, large semi-public Dutch organization (>1000 HR questions per month, ≈70% now automatically resolved)- Together with the 8-person HR team, built an accessible, accurate HR Copilot agent on the HR page in SharePoint and Microsoft 365 (Copilot Studio)- Set up to relieve HR employees and improve the employee experience; the agent forms the first line for recurring questions- Guided the entire team through a 3-month AI transition: change management, adoption, and hands-on prompt engineering training
- Limpens AdvisoryIndependent AI ConsultantJanuary 2026 - Today (7 months)Own practice for AI training and hands-on automation projects- Designed and delivered five hands-on generative AI workshops in the public sector, healthcare, and financial sector, equipping teams with practical prompting skills and a clear, prioritized overview of AI opportunities in their daily work- Built a fully automated, hands-free Claude workflow for a hospitality company, reducing the team's weekly guest processing time by over 60%. The workflow reads guest data from booking platforms (Airbnb, Booking.com), converts it into the necessary documents, forwards data to the holiday park, and handles financial administration and guest communication.- Developed AI and implementation strategies for healthcare organizations: mapped workflows, conducted gap analyses, and prioritized 10+ promising generative AI use cases, training 50+ employees to build internal AI capabilities
- SYSTEMIQSenior ConsultantJanuary 2022 - January 2026 (4 years)McKinsey spin-off and leading strategy, sustainability & social impact advisory firm- Defined the scope and led end-to-end consulting engagements for companies and governments in demanding environments, from problem definition to decision-ready recommendations, managing senior stakeholders from executive management to ministers- 2030 Corporate Water Strategy, large international bank: led the workstream behind the group-wide 2030 water strategy, integrating environmental and financial data across all business units into a single decision model, and presenting the roadmap directly to the board of directors- National Development & Spatial Planning (Paraguay, Ethiopia, Colombia): structured large, fragmented national datasets into a single decision-ready foundation for ministries and managed multi-stakeholder processes that transformed conflicting priorities into supported building blocks for policy and investment- Food and Land Use Dataset (Food and Land Use Coalition): consolidated fragmented international sources into a single decision-ready analytical foundation- Sovereign Debt & Resilience Finance, IMF/World Bank (Uganda, Ethiopia): developed debt sustainability strategies and built AI-enhanced models to calculate scenarios faster than conventionally possible- Returns on Resilience (global flagship report): led the analysis and coordinated input from 120+ organizations; recognized by leaders like Bill Gates, the COP30 chair, and Ban Ki-Moon, and presented to ministers and national decision-makers
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Education
- MScLondon School of Economics2021MSc
- MScRotterdam School of Mgmt2020MSc
Certifications
- ClaudeAnthropic2026