We deploy agents,
not armies.
Berlin-based Data & AI consultancy that replaces expensive consultant teams with agentic solutions. You pay for value delivered — not headcount.
Traditional consulting is broken.
The model was built for a world before AI. Clients pay for time and bodies, not for results. That era is over.
Expensive teams, slow results.
Large teams bill by the hour. The meter runs whether value is created or not. A typical engagement: 6 consultants, 12 weeks, one strategy deck.
Slide decks over solutions.
Weeks of analysis produce polished presentations. Implementation is always "phase two." The deck gets praised, the problem stays unsolved.
Knowledge walks out the door.
When the engagement ends, the consultants leave — and so does the expertise. You are back to square one, with a bill and a binder.
One-size-fits-all frameworks.
Proprietary methodologies recycled across clients. You pay premium rates for customization, but you get last quarter's template with your logo.
What if your consultants never slept, never billed by the hour, and never left?
Avigor was founded on a simple premise: AI agents handle the repetitive, scalable, and data-intensive work. Experienced humans provide judgment, strategy, and oversight. The result — faster delivery, lower cost, and outcomes you can measure.
What “agentic” actually means
AI agents that autonomously execute data pipelines, generate governance reports, monitor data quality, draft strategy documents, and surface insights — 24/7, without coffee breaks. Avigor's human consultants design the system, set the guardrails, and ensure quality. The agents do the rest.
Five capabilities. One agentic engine.
Every offering is powered by our agentic delivery model — AI agents handle the heavy lifting while our consultants provide the judgment.
Strategy & Advisory
We help leadership teams define where data and AI create the most value — and build the roadmap to get there. From maturity assessment to boardroom-ready business cases.
- Data & AI maturity model assessment (5-level framework)
- AI readiness evaluation and business case modeling
- Use case identification, scoring, and prioritization
- Digital transformation roadmaps with agentic implementation paths
- Executive AI workshop facilitation
- ROI modeling and investment justification for AI initiatives
- Competitive landscape and benchmark analysis
Agentic edge: AI agents accelerate competitive analysis, benchmark data collection, and scenario modeling — delivering in days what traditionally takes weeks.
Data & AI Governance
Governance frameworks that are enforceable, not just documented. We design governance that scales with your data landscape, satisfies regulators, and runs itself through agentic automation.
- Data governance framework design and implementation
- Data catalog implementation (Collibra, Atlan, DataHub)
- Automated data quality scoring and dashboards
- AI model governance and risk assessment frameworks
- EU AI Act compliance readiness assessment
- GDPR and DORA regulatory compliance
- Data ownership, stewardship, and operating models
- Metadata management and lineage tracking
Agentic edge: Agents continuously monitor data quality, flag policy violations, and auto-generate compliance reports — governance that runs itself.
Data Platform & Architecture
Modern data platforms built on Data Mesh, lakehouse, and cloud-native principles. Designed for self-service and scale — not bottlenecks. From greenfield builds to legacy migrations.
- Data Mesh design and domain-oriented implementation
- Cloud architecture on AWS, Azure, and GCP
- Data lakehouse and data product development
- Data product design and lifecycle management
- Real-time streaming architectures (Kafka, Kinesis)
- Integration patterns and ETL/ELT pipeline design
- Cost optimization and FinOps for data platforms
- Migration from legacy to modern stack
Agentic edge: Agents automate pipeline orchestration, schema evolution, anomaly detection, and infrastructure monitoring — your platform manages itself.
AI & GenAI Implementation
From proof of concept to production. We build AI solutions that work in the real world — including autonomous agentic systems. This is our core: we build the agents that power our own delivery model.
- Custom AI agent development (tool-use, multi-agent orchestration)
- Enterprise knowledge base and RAG deployment
- GenAI application development and deployment
- AI-powered process automation
- Responsible AI evaluation and red-teaming
- LLM evaluation, fine-tuning, and prompt engineering
- ML model development and MLOps pipelines
- Agentic workflow design for complex business processes
Agentic edge: This is our core. We build the agents that power our own delivery model — and deploy them for you. Every engagement benefits from our production-tested agent framework.
Training & Enablement
Upskill your teams so they don't need consultants forever. Hands-on training in data literacy, AI tools, and agentic workflows — from 1-day workshops to multi-week bootcamps.
- Executive AI literacy and strategy programs
- Technical GenAI and prompt engineering workshops
- Hands-on hackathon facilitation
- Prompt engineering certification programs
- Data governance and stewardship training
- Data literacy for non-technical teams
- Agentic workflow design masterclasses
- Custom LMS content creation with AI
Agentic edge: Training materials and assessments are generated and personalized by AI agents — no two programs are identical. Your team gets exactly the content they need.
Built by practitioners, not theorists.
Three brothers. One shared conviction: consulting should deliver value, not invoices.
Lars Willrich
Co-Founder & Principal Consultant — Data & AI
Over 10 years of hands-on Data & AI consulting across Capgemini, Deloitte, Capco, and Senacor. Lars has led multimillion-dollar data platform initiatives, built AI accelerators for global banking institutions, and designed cloud-native architectures across AWS and Azure.
- MBA & MSc Computer Science
- Co-author, Your GenAI Starter Guide (2024)
- Data Mesh, AI Accelerators, Cloud Architecture
Zurich, Switzerland
Dr. Sven-Erik Willrich
Co-Founder & Principal Consultant — Data Strategy
14+ years in data strategy and governance across Accenture, MHP — A Porsche Company, PowerCo, and valantic. PhD from KIT in Business Information Systems. Lecturer on Data Management at HTW Berlin. Bridges academic rigor with enterprise-scale execution.
- PhD, Karlsruhe Institute of Technology
- Author, Data-Driven Company (Springer, 2025)
- Upcoming: Democratizing Analytics (Apress, 2026)
Berlin, Germany
Ralph Willrich
Co-Founder & Research Engineer
Ralph brings a research-first perspective to Avigor's technical foundation. Working at TH Köln's Information Retrieval research group, he operates at the intersection of search systems, information extraction, and applied AI — ensuring Avigor's technology stays ahead of the curve.
- TH Köln, Information Retrieval Research
- Search Systems & Information Extraction
- RAG Architecture & Knowledge Systems
Cologne, Germany
Our thinking, in print.
Your GenAI Starter Guide
30 Practical Use Cases to Unlock Business Potential
A practical entry point for organizations beginning their Generative AI journey.
Lars Willrich & Dr. Sven-Erik Willrich · Amazon
Data-Driven Company
Moderne und integrierte Ansätze, um datengetrieben zu werden
A comprehensive framework for building data-driven organizations, covering strategy, governance, and operating models.
Dr. Sven-Erik Willrich · Springer
Democratizing Analytics
ForthcomingFrom Self-Service to Embedded Intelligence
On making analytics accessible across the enterprise. Forthcoming.
Dr. Sven-Erik Willrich · Apress
You pay for outcomes. Not for hours.
Traditional consulting ties fees to time and headcount. More consultants, more weeks, bigger invoice — regardless of impact.
Avigor ties pricing to measurable outcomes: a governance framework delivered, a data platform deployed, an AI agent in production.
Why this works
Compressed timelines
AI agents work 24/7 — no waiting for the next sprint.
Lower cost
Fewer humans, more automation. The savings go to you.
Skin in the game
We tie our fees to outcomes. No value, no invoice.
Let's talk value.
Whether you're exploring your first AI use case or restructuring your data organization — start with a conversation. No pitch decks. No NDAs required. Just a direct talk about what you need.