Hi, I’m Viviane Schneider
For over 20 years, I have worked across knowledge engineering and management, information systems, data analysis, including 13 years in workforce analytics, 11 years in symbolic AI (ontologies) and 4 years working with AI agents powered by neural models. I apply this experience to help organizations turn problems into opportunities to make better decisions.
Is this for youR organization?
My services fit your organization if…
Your data, knowledge, or AI systems are creating uncertainty, inconsistency, or unnecessary complexity.
You organization needs people and technology to work together more coherently, with clearer value, ownership, and purpose.
Your workforce faces turnover, health, workload, or work-environment challenges that deserve prevention, not just reaction.
Everything we can do together
Building Resilient & Reliable Socio-technical Systems
Data Foundation and meaning → Improve data quality and consistency to support reliable reporting, dashboards, and business intelligence. Connect data and knowledge so they are easier to find, interpret, reuse, and share across people and systems.
AI Inventory & Alignment → Identify AI use, ownership, costs, benefits, expected ROI, and risks, with alignment informed by NIST AI RMF.
AI-Data Governance → Define ownership, decision rights, policies, and review processes across data, AI, and organizational systems.
Workforce Analytics → Use workforce data and metrics to understand patterns, support planning, and improve decisions.
Workforce Health Prevention → Understand the work system, identify conditions that may create harm, strengthen resilience, and implement preventive actions.
Knowledge Creation & Transfer → Create operational common ground thought semantic solutions. Facilitate workshops, documentation, training, and practical guidance that strengthen organizational capability and preserve know-how.
How I work
My principles
Principles that guide my work through the valley of the shadow of messy data and human complexity.
Coherence with purpose
Ensure that data, systems, people, and AI initiatives work together toward the organization’s mission, remain consistent with its values, and support the long-term well-being of the people and communities affected.
Commitment with Excellence
Deliver work that is accurate, useful, and built to last. Share the knowledge and documentation clients need to understand, maintain, and adapt their solutions.
Different perspectives welcome
Different viewpoints are welcome because together we can question assumptions, reveal blind spots, and build better solutions.
Simplicity with effectiveness
Remove unnecessary complexity without compromising the solution’s ability to solve the problem.
Continuous improvement
Treat solutions as things to test and improve. Measure results, learn from mistakes, and adapt as people, priorities, and circumstances change.