Taking enterprises from AI strategy to governed AI agents in production — backed by more than ten years of business and technology consulting. Based in Zurich, Switzerland.
Lars is Head of Data & AI and Principal Consultant at Capco in Zurich. Over more than ten years in business and technology consulting, he has won and delivered engagements end to end — from strategy and advisory through to implementation — across cloud, data, AI, and agentic AI.
A Master's in Computer Science, an MBA, and deep financial services expertise let him turn the connection between business and technology into tangible value. Most recently, he has been leading a global enterprise's transformation toward agentic AI.
Everyone has access to the same models. What makes AI agents valuable is the ground they stand on: a clear business case, governance that makes autonomy permissible, and a platform built to run agents safely at scale. Lars guides enterprises through the full journey.
Identifying where agents create measurable value, building the business case, and shaping a roadmap leadership can fund.
Defining guardrails, accountability, and regulatory alignment — so autonomy is earned, not assumed, even in highly regulated industries.
Designing the foundation agents run on: orchestration, tool and data access, observability, and human-in-the-loop controls.
Taking agents into production — from KYC and DORA compliance agents to customer-facing assistants — and scaling what works.
Translating business goals into data and AI roadmaps, business cases, and investment priorities — and guiding them from advisory through to implementation.
CRM, core banking, and front-office transformations for banks and insurers, grounded in deep financial services industry expertise.
Event-driven architectures built on data mesh principles, enabling decentralized data ownership and self-service data management at scale.
Governance, compliance, and data quality frameworks designed as accelerators — making data and AI usable in regulated environments.
Multi-cloud data architectures for ingestion, ELT, and serving — with Kubernetes, Terraform, and DevOps practices. AWS-certified Solutions Architect.
Leading teams from roadmap to go-live and aligning business units and C-level stakeholders around measurable outcomes.
Unifying Data, GenAI, and AI Agents for Real-Time Personalization
Scale once cost enterprises the intimacy of knowing each customer. Today every competitor rents the same models — what compounds is an organization's own understanding of its customers. The book shows how banks, insurers, and other customer-centric enterprises turn unified data into a governed asset and let GenAI and AI agents act on it safely, in every interaction.
ISBN 979-8-8688-3436-3 (Softcover) · eBook ISBN 979-8-8688-3437-0
Lars started as a software engineer and grew into leading Data & AI. Along the way, he has delivered large-scale software projects, designed multi-cloud and data architectures, built event-driven data mesh platforms, and led teams from roadmap to go-live — at Capgemini, SHARE NOW, Deloitte, Senacor, and today Capco, where he heads Data & AI for financial services clients.
Whether you're shaping an agentic AI strategy, building the data foundations behind it, or want to talk about the book, I'd love to hear from you.