Artificial Intelligence is transforming how organizations create, analyze, and act on information.
AI can now generate meeting summaries, reports, recommendations, and business insights at unprecedented speed.
But as AI-generated outputs become part of everyday decision-making, a fundamental question emerges:
Our mission is to explore and advance the principles, frameworks, and practices required to ensure that AI-generated business information can be trusted.
Modern AI governance has focused on critical areas such as:
These foundations remain essential.
However, organizations also need confidence in the outputs created by AI — especially when those outputs influence decisions, assign accountability, or become business records.
We believe this requires a new focus:
AI Output Assurance.
Meetings are where organizations make decisions, define commitments, and assign responsibility.
Unlike traditional documents, the source of a meeting record is human conversation.
To trust an AI-generated meeting record, organizations need confidence that:
What was said → What was captured → What was summarized → What became the record
accurately represents the original discussion.
This makes AI meeting governance one of the most important starting points for understanding AI Output Assurance.