The foundational metadata infrastructure for agentic AI verification
Universal metadata standard for agentic AI trust and compliance
"Just like you need to know the facts about what's in your food before you eat it, you need to know the facts about what's in your agentic AI before you deploy it"
Every enterprise deploying agentic AI systems needs verification, compliance, and governance. AgentFacts™ provides the foundational infrastructure for trusted agentic AI coordination.
Just like you need to know the facts about what's in your food, you need to know the facts about what's in your agentic AI. Both provide verified information about contents before consumption.
Know what's in your food
Know what's in your agentic AI
Both provide verified facts about contents before consumption. Just as nutrition facts help you make informed decisions about food, AgentFacts™ helps you make informed decisions about agentic AI deployed in your organization.
Understanding autonomous AI systems and why they need verified metadata standards for safe enterprise deployment.
Unlike traditional AI that just responds to prompts, agentic AI can plan, execute, and adapt independently to achieve goals. These systems can make decisions, coordinate with other systems, and take actions without constant human oversight. This autonomy makes verification and governance critical for enterprise deployment.
Responds to specific prompts and inputs. Limited to the immediate task. Requires human guidance for each step.
Plans and executes complex workflows. Makes autonomous decisions. Coordinates with other systems and agents.
As agentic AI becomes more capable and autonomous, organizations need standards like AgentFacts™ to verify capabilities, ensure compliance, and maintain governance over these powerful systems.
Comprehensive metadata framework enabling verified agentic AI capabilities, compliance automation, and trusted coordination.
128-field metadata framework accommodating enterprise, consumer, and government agentic AI requirements with full extensibility.
Multi-authority trust model with cryptographic signatures eliminating self-declared agentic AI capabilities.
Verified spending authority and payment protocols enabling autonomous agentic AI transactions.
Built-in regulatory frameworks including EU AI Act, GDPR, and sector-specific standards for agentic AI systems.
Standards-based compliance frameworks for global regulatory requirements and industry-specific agentic AI governance.
Mandatory 2025 compliance framework with automated documentation for agentic AI systems
Risk management and audit trail requirements for autonomous AI deployment
Verified agentic AI capabilities for regulated financial environments
Patient safety and regulatory oversight frameworks for medical agentic AI
Platform certification and content rating standards for agentic AI in games
Procurement standards and policy frameworks for public sector agentic AI
Professional consulting and training by the AgentFacts™ creator for enterprise agentic AI deployment and compliance.
Creator, AgentFacts™ Universal Standard
Available for enterprise consulting, training programs, and strategic agentic AI implementation guidance.
Contact: jared.grogan@post.harvard.edu