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…
You want to have a data-driven organization, capable of scale but your workforce, data, knowledge, and AI systems are creating uncertainty, inconsistency, or unnecessary complexity.
You need people and technology to work together more coherently, with clearer value, data ownership and governance, aligned with your organization purpose and mission.
You believe an AI-resilient workforce is cheaper than the cost of AI threats, absentees, turnover, and unsafely work-environment.
Everything we can do together
AI Trust & Governance for resilient workforce
Data Foundation and meaning → Context data (metadata) to improve data quality, data consistency, data availability for dashboards and business intelligence. Connect data and knowledge so they are easier to find, interpret, reuse, and share across people and systems.
AI Inventory & Trust → Map of AI use, ownership, costs, benefits, expected ROI, and risks, with alignment informed by NIST AI RMF.
Digital Governance → Digital Governance Context that establish ownership, decision, policies, and processes across workforce, data, AI, and systems.
Workforce AI-Resilience → A micro diary-training (100 days) that requires only 5 minutes per day and can improve your workforce task completion, attention, language reasoning and and resilience to deal with AI prompts and critical thinking to analyze AI artifacts.
Workforce Intelligence → A workforce KPI model that can address issues by understand workforce patterns, support planning, and improve decisions.
Workforce knowledge transfer → Design thinking workshops, one-on-one interviews based on
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.