If Agentic AI follows your documented processes, what happens when those processes don’t reflect reality?
Most organisations assume AI will figure things out. Business Architect Laura Van Weegen argues the opposite: AI doesn’t create new problems — it removes your ability to ignore the ones that have existed forever and a day. Undocumented workflows, undefined decision ownership, and human workarounds masking broken systems all get amplified at machine speed.
You’ll learn:
• Why «garbage in, garbage faster» is the real Agentic AI risk
• The critical difference between feeding AI data versus information
• How process debt compounds the same way technical debt does
• Why exception handling is the new decision design priority
• What one conversation reveals more than most AI readiness assessments
• How to build explainability in from day one
Key topics:
Agentic AI readiness • Information architecture • Process debt • Data vs information • Contextual blindness • Decision ownership • Explainability vs traceability • Semantic infrastructure • Exception handling • Organisational accountability • Workflow documentation • AI governance
Essential viewing for CISOs, CIOs, CFOs, and Chief Legal Officers evaluating Agentic AI deployment — before the human safety net disappears.
Ponentes: Business Architect, Laura Van Weegen. Stewart Tinson, Project Director; AI-360