At Mastercard, trust has always been the product, but as AI agents begin transacting on our behalf, operating without perfect machine-readable context becomes a profound liability. Andrew shares how Mastercard is engineering context into the fabric of its data through "agentic governance" — ensuring that as commerce gets faster, it also becomes more trustworthy.
Key takeaways:
Agentic commerce requires context designed for machines from the start, not translated from human tribal knowledge
Trust at transaction speed demands machine-readable context about definitions, relationships, and business rules
Agentic governance means building standards and guardrails that AI agents follow automatically without human intervention
Mastercard's evolution: from privacy by design to data by design to context by design over six years
Responsible AI innovation requires context infrastructure that scales at the speed of automated commerce
