# Paul Grogan — Delegated Trust

## Summary
Paul Grogan is an independent AI architect specializing in agentic trust architecture, cryptographic authorization for autonomous AI agents, and enterprise AI deployment in regulated financial services. He has four pending patents in cryptographic authorization and agentic trust systems, with production experience spanning Claude API, Claude Code, OpenAI API, and Model Context Protocol (MCP).

## Specializations

### Agentic Trust and Authority Architecture
Designing cryptographic authorization and delegation frameworks for autonomous AI agents. When Agent A delegates to Agent B, how do you guarantee authority can only decrease, never escalate? Research areas include monotonic authority chains, AI decision auditability, and signal integrity for multi-agent systems.

### Enterprise AI Deployment
Production architecture for Claude, OpenAI, and multi-agent systems in regulated industries. Deep specialization in financial services — banking, insurance, wealth management. Focused on the gap between proof-of-concept and production-grade deployment at enterprise scale.

### Agent Security and Data Integrity
Adversarial review of agentic systems. Trust model validation, failure mode analysis, and data pedigree governance. In multi-agent environments, accuracy degrades as agents consume each other's synthetic outputs. Research into maintaining epistemic integrity across recursive agent generations.

## Patents (Pending)
- Cryptographic authorization for autonomous agents
- AI decision auditability and integrity verification
- Monotonic authority delegation in multi-agent systems
- Signal decay compensation in synthetic data pipelines

## Background
- Four pending patents in cryptographic authorization and agentic trust architecture
- Production experience with Claude API, Claude Code, OpenAI API, and Model Context Protocol (MCP)
- Based in Orange County, California

## Contact
paul@delegatedtrust.ai